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Saeed Hamood Alsamhi
Athlone Institute of Technology, Athlone, N37 HD68, Ireland, and also with the IBB University, Ibb,70270, Yemen

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Article
Published: 17 August 2021 in Mobile Networks and Applications
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The development of the Internet of Things (IoT) technology and their integration in smart cities have changed the way we work and live, and enriched our society. However, IoT technologies present several challenges such as increases in energy consumption, and produces toxic pollution as well as E-waste in smart cities. Smart city applications must be environmentally-friendly, hence require a move towards green IoT. Green IoT leads to an eco-friendly environment, which is more sustainable for smart cities. Therefore, it is essential to address the techniques and strategies for reducing pollution hazards, traffic waste, resource usage, energy consumption, providing public safety, life quality, and sustaining the environment and cost management. This survey focuses on providing a comprehensive review of the techniques and strategies for making cities smarter, sustainable, and eco-friendly. Furthermore, the survey focuses on IoT and its capabilities to merge into aspects of potential to address the needs of smart cities. Finally, we discuss challenges and opportunities for future research in smart city applications.

ACS Style

Faris. A. Almalki; S. H. Alsamhi; Radhya Sahal; Jahan Hassan; Ammar Hawbani; N. S. Rajput; Abdu Saif; Jeff Morgan; John Breslin. Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities. Mobile Networks and Applications 2021, 1 -25.

AMA Style

Faris. A. Almalki, S. H. Alsamhi, Radhya Sahal, Jahan Hassan, Ammar Hawbani, N. S. Rajput, Abdu Saif, Jeff Morgan, John Breslin. Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities. Mobile Networks and Applications. 2021; ():1-25.

Chicago/Turabian Style

Faris. A. Almalki; S. H. Alsamhi; Radhya Sahal; Jahan Hassan; Ammar Hawbani; N. S. Rajput; Abdu Saif; Jeff Morgan; John Breslin. 2021. "Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities." Mobile Networks and Applications , no. : 1-25.

Journal article
Published: 24 May 2021 in Sustainability
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When integrating the Internet of Things (IoT) with Unmanned Aerial Vehicles (UAVs) occurred, tens of applications including smart agriculture have emerged to offer innovative solutions to modernize the farming sector. This paper aims to present a low-cost platform for comprehensive environmental parameter monitoring using flying IoT. This platform is deployed and tested in a real scenario on a farm in Medenine, Tunisia, in the period of March 2020 to March 2021. The experimental work fulfills the requirements of automated and real-time monitoring of the environmental parameters using both under- and aboveground sensors. These IoT sensors are on a farm collecting vast amounts of environmental data, where it is sent to ground gateways every 1 h, after which the obtained data is collected and transmitted by a drone to the cloud for storage and analysis every 12 h. This low-cost platform can help farmers, governmental, or manufacturers to predict environmental data over the geographically large farm field, which leads to enhancement in crop productivity and farm management in a cost-effective, and timely manner. Obtained experimental results infer that automated and human-made sets of actions can be applied and/or suggested, due to the innovative integration between IoT sensors with the drone. These smart actions help in precision agriculture, which, in turn, intensely boost crop productivity, saving natural resources.

ACS Style

Faris Almalki; Ben Soufiene; Saeed Alsamhi; Hedi Sakli. A Low-Cost Platform for Environmental Smart Farming Monitoring System Based on IoT and UAVs. Sustainability 2021, 13, 5908 .

AMA Style

Faris Almalki, Ben Soufiene, Saeed Alsamhi, Hedi Sakli. A Low-Cost Platform for Environmental Smart Farming Monitoring System Based on IoT and UAVs. Sustainability. 2021; 13 (11):5908.

Chicago/Turabian Style

Faris Almalki; Ben Soufiene; Saeed Alsamhi; Hedi Sakli. 2021. "A Low-Cost Platform for Environmental Smart Farming Monitoring System Based on IoT and UAVs." Sustainability 13, no. 11: 5908.

Journal article
Published: 22 April 2021 in IEEE Transactions on Mobile Computing
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The integration of drones, IoT, and AI domains can produce exceptional solutions to today's complex problems in smart cities. A drone, which essentially is a data-gathering robot, can access geographical areas that are difficult, unsafe, or even impossible for humans to reach. In this paper, an intelligent technique is proposed to predict the signal strength from a drone to IoT devices in smart cities in order to maintain the network connectivity, provision the desired QoS, and identify the drone coverage area. An ANN based efficient and accurate solution is presented to predict the signal strength from a drone based on several pertinent factors like drone altitude, path loss, etc. Furthermore, the signal strength estimates are then used to predict the drone flying path. The findings show that the proposed ANN technique has achieved good agreement with the validation data generated via simulations, yielding determination coefficient R2 to be 0.96 and 0.98, for variation in drone height and distance from a drone, respectively. Therefore, the proposed ANN technique is reliable, useful, and fast to estimate the signal strength, determine the optimal drone flying path and predict the next location based on received signal strength.

ACS Style

Saeed Hamood Alsamhi; Faris Almalki; Ou Ma; Mohammad Samar Ansari; Brian Lee. Predictive Estimation of Optimal Signal Strength from Drones over IoT Frameworks in Smart Cities. IEEE Transactions on Mobile Computing 2021, PP, 1 -1.

AMA Style

Saeed Hamood Alsamhi, Faris Almalki, Ou Ma, Mohammad Samar Ansari, Brian Lee. Predictive Estimation of Optimal Signal Strength from Drones over IoT Frameworks in Smart Cities. IEEE Transactions on Mobile Computing. 2021; PP (99):1-1.

Chicago/Turabian Style

Saeed Hamood Alsamhi; Faris Almalki; Ou Ma; Mohammad Samar Ansari; Brian Lee. 2021. "Predictive Estimation of Optimal Signal Strength from Drones over IoT Frameworks in Smart Cities." IEEE Transactions on Mobile Computing PP, no. 99: 1-1.

Review
Published: 03 April 2021 in Ad Hoc Networks
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Recently, Unmanned Aerial Vehicles (UAVs) present a promising advanced technology that can enhance people life quality and smartness of cities dramatically and increase overall economic efficiency. UAVs have attained a significant interest in supporting many applications such as surveillance, agriculture, communication, transportation, pollution monitoring, disaster management, public safety, healthcare, and environmental preservation. Industry 4.0 applications are conceived of intelligent things that can automatically and collaboratively improve beyond 5G (B5G). Therefore, the Internet of Things (IoT) is required to ensure collaboration between the vast multitude of things efficiently anywhere in real-world applications that are monitored in real-time. However, many IoT devices consume a significant amount of energy when transmitting the collected data from surrounding environments. Due to a drone's capability to fly closer to IoT, UAV technology plays a vital role in greening IoT by transmitting collected data to achieve a sustainable, reliable, eco-friendly Industry 4.0. This survey presents an overview of the techniques and strategies proposed recently to achieve green IoT using UAVs infrastructure for a reliable and sustainable smart world. This survey is different from other attempts in terms of concept, focus, and discussion. Finally, various use cases, challenges, and opportunities regarding green IoT using UAVs are presented.

ACS Style

S.H. Alsamhi; Fatemeh Afghah; Radhya Sahal; Ammar Hawbani; Mohammed A.A. Al-Qaness; B. Lee; Mohsen Guizani. Green internet of things using UAVs in B5G networks: A review of applications and strategies. Ad Hoc Networks 2021, 117, 102505 .

AMA Style

S.H. Alsamhi, Fatemeh Afghah, Radhya Sahal, Ammar Hawbani, Mohammed A.A. Al-Qaness, B. Lee, Mohsen Guizani. Green internet of things using UAVs in B5G networks: A review of applications and strategies. Ad Hoc Networks. 2021; 117 ():102505.

Chicago/Turabian Style

S.H. Alsamhi; Fatemeh Afghah; Radhya Sahal; Ammar Hawbani; Mohammed A.A. Al-Qaness; B. Lee; Mohsen Guizani. 2021. "Green internet of things using UAVs in B5G networks: A review of applications and strategies." Ad Hoc Networks 117, no. : 102505.

Journal article
Published: 02 April 2021 in Applied Sciences
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Digital twin (DT) plays a pivotal role in the vision of Industry 4.0. The idea is that the real product and its virtual counterpart are twins that travel a parallel journey from design and development to production and service life. The intelligence that comes from DTs’ operational data supports the interactions between the DTs to pave the way for the cyber-physical integration of smart manufacturing. This paper presents a conceptual framework for digital twins collaboration to provide an auto-detection of erratic operational data by utilizing operational data intelligence in the manufacturing systems. The proposed framework provide an interaction mechanism to understand the DT status, interact with other DTs, learn from each other DTs, and share common semantic knowledge. In addition, it can detect the anomalies and understand the overall picture and conditions of the operational environments. Furthermore, the proposed framework is described in the workflow model, which breaks down into four phases: information extraction, change detection, synchronization, and notification. A use case of Energy 4.0 fault diagnosis for wind turbines is described to present the use of the proposed framework and DTs collaboration to identify and diagnose the potential failure, e.g., malfunctioning nodes within the energy industry.

ACS Style

Radhya Sahal; Saeed Alsamhi; John Breslin; Kenneth Brown; Muhammad Ali. Digital Twins Collaboration for Automatic Erratic Operational Data Detection in Industry 4.0. Applied Sciences 2021, 11, 3186 .

AMA Style

Radhya Sahal, Saeed Alsamhi, John Breslin, Kenneth Brown, Muhammad Ali. Digital Twins Collaboration for Automatic Erratic Operational Data Detection in Industry 4.0. Applied Sciences. 2021; 11 (7):3186.

Chicago/Turabian Style

Radhya Sahal; Saeed Alsamhi; John Breslin; Kenneth Brown; Muhammad Ali. 2021. "Digital Twins Collaboration for Automatic Erratic Operational Data Detection in Industry 4.0." Applied Sciences 11, no. 7: 3186.

Survey paper
Published: 17 March 2021 in Transactions on Emerging Telecommunications Technologies
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Currently, drones represent a promising technology for combating Coronavirus disease 2019 (COVID‐19) due to the transport of goods, medical supplies to a given target location in the quarantine areas experiencing an epidemic outbreak. Drone missions will increasingly rely on drone collaboration, which requires the drones to reduce communication complexity and be controlled in a decentralized fashion. Blockchain technology becomes a must in industrial applications because it provides decentralized data, accessibility, immutability, and irreversibility. Therefore, Blockchain makes data public for all drones and enables drones to log information concerning world states, time, location, resources, delivery data, and drone relation to all neighbors drones. This paper introduces decentralized independent multi‐drones to accomplish the task collaboratively. Improving blockchain with a consensus algorithm can improve network partitioning and scalability in order to combat COVID‐19. The multi‐drones task is to combat COVID‐19 via monitoring and detecting, social distancing, sanitization, data analysis, delivering goods and medical supplies, and announcement while avoiding collisions with one another. We discuss End to End (E2E) delivery application of combination blockchain and multi‐drone in combating COVID‐19 and beyond future pandemics. Furthermore, the challenges and opportunities of our proposed framework are highlighted.

ACS Style

Saeed Hamood Alsamhi; Brian Lee; Mohsen Guizani; Neeraj Kumar; Yuansong Qiao; Xuan Liu. Blockchain for decentralized multi‐drone to combat COVID ‐19 and future pandemics: Framework and proposed solutions. Transactions on Emerging Telecommunications Technologies 2021, e4255 .

AMA Style

Saeed Hamood Alsamhi, Brian Lee, Mohsen Guizani, Neeraj Kumar, Yuansong Qiao, Xuan Liu. Blockchain for decentralized multi‐drone to combat COVID ‐19 and future pandemics: Framework and proposed solutions. Transactions on Emerging Telecommunications Technologies. 2021; ():e4255.

Chicago/Turabian Style

Saeed Hamood Alsamhi; Brian Lee; Mohsen Guizani; Neeraj Kumar; Yuansong Qiao; Xuan Liu. 2021. "Blockchain for decentralized multi‐drone to combat COVID ‐19 and future pandemics: Framework and proposed solutions." Transactions on Emerging Telecommunications Technologies , no. : e4255.

Journal article
Published: 20 January 2021 in Sensors
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Forestry 4.0 is inspired by the Industry 4.0 concept, which plays a vital role in the next industrial generation revolution. It is ushering in a new era for efficient and sustainable forest management. Environmental sustainability and climate change are related challenges to promote sustainable forest management of natural resources. Internet of Forest Things (IoFT) is an emerging technology that helps manage forest sustainability and protect forest from hazards via distributing smart devices for gathering data stream during monitoring and detecting fire. Stream processing is a well-known research area, and recently, it has gained a further significance due to the emergence of IoFT devices. Distributed stream processing platforms have emerged, e.g., Apache Flink, Storm, and Spark, etc. Querying windowing is the heart of any stream-processing platform which splits infinite data stream into chunks of finite data to execute a query. Dynamic query window-based processing can reduce the reporting time in case of missing and delayed events caused by data drift.In this paper, we present a novel dynamic mechanism to recommend the optimal window size and type based on the dynamic context of IoFT application. In particular, we designed a dynamic window selector for stream queries considering input stream data characteristics, application workload and resource constraints to recommend the optimal stream query window configuration. A research gap on the likelihood of adopting smart IoFT devices in environmental sustainability indicates a lack of empirical studies to pursue forest sustainability, i.e., sustainable forestry applications. So, we focus on forest fire management and detection as a use case of Forestry 4.0, one of the dynamic environmental management challenges, i.e., climate change, to deliver sustainable forestry goals. According to the dynamic window selector’s experimental results, end-to-end latency time for the reported fire alerts has been reduced by dynamical adaptation of window size with IoFT stream rate changes.

ACS Style

Radhya Sahal; Saeed Alsamhi; John Breslin; Muhammad Ali. Industry 4.0 towards Forestry 4.0: Fire Detection Use Case. Sensors 2021, 21, 694 .

AMA Style

Radhya Sahal, Saeed Alsamhi, John Breslin, Muhammad Ali. Industry 4.0 towards Forestry 4.0: Fire Detection Use Case. Sensors. 2021; 21 (3):694.

Chicago/Turabian Style

Radhya Sahal; Saeed Alsamhi; John Breslin; Muhammad Ali. 2021. "Industry 4.0 towards Forestry 4.0: Fire Detection Use Case." Sensors 21, no. 3: 694.

Special issue article
Published: 06 January 2021 in Computing
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The growing population in large cities is creating traffic management issues. The metropolis road network management also requires constant monitoring, timely expansion, and modernization. In order to handle road traffic issues, an intelligent traffic management solution is required. Intelligent monitoring of traffic involves the detection and tracking of vehicles on roads and highways. There are various sensors for collecting motion information, such as transport video detectors, microwave radars, infrared sensors, ultrasonic sensors, passive acoustic sensors, and others. In this paper, we present an intelligent video surveillance-based vehicle tracking system. The proposed system uses a combination of the neural network, image-based tracking, and You Only Look Once (YOLOv3) to track vehicles. We train the proposed system with different datasets. Moreover, we use real video sequences of road traffic to test the performance of the proposed system. The evaluation outcomes showed that the proposed system can detect, track, and count the vehicles with acceptable results in changing scenarios.

ACS Style

Mohammed A. A. Al-Qaness; Aaqif Afzaal Abbasi; Hong Fan; Rehab Ali Ibrahim; Saeed H. Alsamhi; Ammar Hawbani. An improved YOLO-based road traffic monitoring system. Computing 2021, 103, 211 -230.

AMA Style

Mohammed A. A. Al-Qaness, Aaqif Afzaal Abbasi, Hong Fan, Rehab Ali Ibrahim, Saeed H. Alsamhi, Ammar Hawbani. An improved YOLO-based road traffic monitoring system. Computing. 2021; 103 (2):211-230.

Chicago/Turabian Style

Mohammed A. A. Al-Qaness; Aaqif Afzaal Abbasi; Hong Fan; Rehab Ali Ibrahim; Saeed H. Alsamhi; Ammar Hawbani. 2021. "An improved YOLO-based road traffic monitoring system." Computing 103, no. 2: 211-230.

Journal article
Published: 26 October 2020 in IEEE Access
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This conceptual paper overviews how blockchain technology is involving the operation of multi-robot collaboration for combating COVID-19 and future pandemics. Robots are a promising technology for providing many tasks such as spraying, disinfection, cleaning, treating, detecting high body temperature/mask absence, and delivering goods and medical supplies experiencing an epidemic COVID-19. For combating COVID-19, many heterogeneous and homogenous robots are required to perform different tasks for supporting different purposes in the quarantine area. Managmnt and decentralizing multi-robot play a vital role in combating COVID-19 by reducing human interaction, monitoring, delivering goods. Blockchain technology can manage multi-robot collaboration in a decentralized fashion, improve the interaction among them to exchange information, share representation, share goals, and trust. We highlight the challenges and provide the tactical solutions enabled by integrating blockchain and multi-robot collaboration to combat the COVID-19 pandemic. The proposed conceptual framework can increase the intelligence, decentralization, and autonomous operations of connected multi-robot collaboration in the blockchain network. We overview blockchain potential benefits to defining a framework of multi-robot collaboration applications to combat COVID-19 epidemics such as monitoring and outdoor and hospital End to End (E2E) delivery systems. Furthermore, we discuss the challenges and opportunities of integrated blockchain, multi-robot collaboration, and the Internet of Things (IoT) for combating COVID-19 and future pandemics.

ACS Style

S. H. Alsamhi; Brian Lee. Blockchain-Empowered Multi-Robot Collaboration to Fight COVID-19 and Future Pandemics. IEEE Access 2020, 9, 44173 -44197.

AMA Style

S. H. Alsamhi, Brian Lee. Blockchain-Empowered Multi-Robot Collaboration to Fight COVID-19 and Future Pandemics. IEEE Access. 2020; 9 (99):44173-44197.

Chicago/Turabian Style

S. H. Alsamhi; Brian Lee. 2020. "Blockchain-Empowered Multi-Robot Collaboration to Fight COVID-19 and Future Pandemics." IEEE Access 9, no. 99: 44173-44197.

Article
Published: 16 October 2019 in Journal of Intelligent & Robotic Systems
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Collaborative assemblies of robots are promising the next generation of robot applications by ensuring that safe and reliable robots work collectively toward a common goal. To maintain this collaboration and harmony, effective wireless communication technologies are required in order to enable the robots share data and control signals amongst themselves. With the advent of Machine Learning (ML), recent advancements in intelligent techniques for the domain of robot communications have led to improved functionality in robot assemblies, ability to take informed and coordinated decisions, and an overall improvement in efficiency of the entire swarm. This survey is targeted towards a comprehensive study of the convergence of ML and communication for collaborative assemblies of robots operating in the space, on the ground and in underwater environments. We identify the pertinent issues that arise in the case of robot swarms like preventing collisions, keeping connectivity between robots, maintaining the communication quality, and ensuring collaboration between robots. ML techniques that have been applied for improving different criteria such as mobility, connectivity, Quality of Service (QoS) and efficient data collection for energy efficiency are then discussed from the viewpoint of their importance in the case of collaborative robot assemblies. Lastly, the paper also identifies open issues and avenues for future research.

ACS Style

S. H. Alsamhi; Ou Ma; Mohd. Samar Ansari. Convergence of Machine Learning and Robotics Communication in Collaborative Assembly: Mobility, Connectivity and Future Perspectives. Journal of Intelligent & Robotic Systems 2019, 98, 541 -566.

AMA Style

S. H. Alsamhi, Ou Ma, Mohd. Samar Ansari. Convergence of Machine Learning and Robotics Communication in Collaborative Assembly: Mobility, Connectivity and Future Perspectives. Journal of Intelligent & Robotic Systems. 2019; 98 (3-4):541-566.

Chicago/Turabian Style

S. H. Alsamhi; Ou Ma; Mohd. Samar Ansari. 2019. "Convergence of Machine Learning and Robotics Communication in Collaborative Assembly: Mobility, Connectivity and Future Perspectives." Journal of Intelligent & Robotic Systems 98, no. 3-4: 541-566.

Journal article
Published: 13 August 2019 in IEEE Access
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Smart cities contain intelligent things which can intelligently.automatically and collaboratively enhance life quality, save peoples lives, and act as sustainable resources. To achieve these tasks, advanced collaborative technologies such as drones, machine learning, and Internet of Things (IoT) are required to increase the smartness of smart cities by improving the connectivity, energy efficiency,and quality of services (QoS) provision over smart cities. Therefore, collaborative drones and IoT play vital role in supporting a lot of smart cities applications such as those involved in communication, transportation, agriculture, monitoring, disaster mitigation, environmental preservation, service delivery, pollution mitigation, energy saving, e-waste reduction, weather monitoring, etc. This paper presents a critical survey of the potential techniques and applications of collaborative drones and IoT which have recently been proposed in order to increase the smartness of smart cities. We provide a comprehensive survey highlighting the recent and ongoing research on collaborative drone and IoT in improving the real-time application of smart cities. This survey is different from previous surveys in term of breadth, scope, and focus. In particular, we focus on the new concept of collaborative drones and IoT for improving smart cities applications. This survey attempts to show how collaborative drones and IoT improve the smartness of smart cities based on data collection, privacy and security, public safety, disaster management, energy consumption and quality of life in smart cities. It mainly focuses on the measurement of the smartness of smart cities, i.e., environmental aspects, life quality, public safety, and disaster management. The collaborative drones and future IoT technologies provides some clues.

ACS Style

Saeed H. Alsamhi; Ou Ma; Mohammad Samar Ansari; Faris A. Almalki. Survey on Collaborative Smart Drones and Internet of Things for Improving Smartness of Smart Cities. IEEE Access 2019, 7, 128125 -128152.

AMA Style

Saeed H. Alsamhi, Ou Ma, Mohammad Samar Ansari, Faris A. Almalki. Survey on Collaborative Smart Drones and Internet of Things for Improving Smartness of Smart Cities. IEEE Access. 2019; 7 (99):128125-128152.

Chicago/Turabian Style

Saeed H. Alsamhi; Ou Ma; Mohammad Samar Ansari; Faris A. Almalki. 2019. "Survey on Collaborative Smart Drones and Internet of Things for Improving Smartness of Smart Cities." IEEE Access 7, no. 99: 128125-128152.

Article
Published: 25 July 2019 in Telecommunication Systems
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Tremendous technological developments in the field of internet of things (IoT) have changed the way we live and work. Although the numerous advantages of IoT are enriching our society, it should be reminded that the IoT also contributes to toxic pollution, consumes energy and generates e-waste. These persistent issues place new stress on the smart world and environments. To enhance the benefits and reduce the harmful effects of IoT, there is an increasingly desired to move towards green IoT. Green IoT is seen as the environmentally friendly future of IoT. Therefore, it is necessary to put different desired measures to conserve environmental resources, reduce carbon footprints and promote efficient techniques for energy usage. It is the reason for moving towards green IoT, where the machines, sensors, communications, clouds, and internet operate in synergy towards the common goal of increased energy efficiency and reduced carbon emissions. This work presents a thorough survey of the current ongoing research and potential technologies of green IoT with an intention to provide some directions for future green IoT research.

ACS Style

S. H. Alsamhi; Ou Ma; Mohd. Samar Ansari; Qingliang Meng. Greening internet of things for greener and smarter cities: a survey and future prospects. Telecommunication Systems 2019, 72, 609 -632.

AMA Style

S. H. Alsamhi, Ou Ma, Mohd. Samar Ansari, Qingliang Meng. Greening internet of things for greener and smarter cities: a survey and future prospects. Telecommunication Systems. 2019; 72 (4):609-632.

Chicago/Turabian Style

S. H. Alsamhi; Ou Ma; Mohd. Samar Ansari; Qingliang Meng. 2019. "Greening internet of things for greener and smarter cities: a survey and future prospects." Telecommunication Systems 72, no. 4: 609-632.

Correction
Published: 02 July 2019 in Telecommunication Systems
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The original version of this article was published with an error in one of the co-author name and e-mail address.

ACS Style

S. H. Alsamhi; F. A. Almalki; Ou Ma; M. S. Ansari; M. C. Angelides. Correction to: Performance optimization of tethered balloon technology for public safety and emergency communications. Telecommunication Systems 2019, 72, 155 -155.

AMA Style

S. H. Alsamhi, F. A. Almalki, Ou Ma, M. S. Ansari, M. C. Angelides. Correction to: Performance optimization of tethered balloon technology for public safety and emergency communications. Telecommunication Systems. 2019; 72 (1):155-155.

Chicago/Turabian Style

S. H. Alsamhi; F. A. Almalki; Ou Ma; M. S. Ansari; M. C. Angelides. 2019. "Correction to: Performance optimization of tethered balloon technology for public safety and emergency communications." Telecommunication Systems 72, no. 1: 155-155.

Article
Published: 28 May 2019 in Telecommunication Systems
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This paper investigates the potential of a tethered balloon network architecture deployed as part of public safety networks and emergency communications. Tethered balloon technology has been evolving as a powerful and promising technology for improving public safety and for saving people’s lives. As such, it enables accomplishment of unique and specific missions for temporary events such as natural hazardous or terrorist acts. Such acts raise significantly the potential to disrupt the entire terrestrial wireless communication infrastructure. To mitigate the effects of such catastrophic events, we propose tethered balloon technology for delivering broadband services in an area over which the communication infrastructure has been entirely or partially destroyed. The results reveal a significantly high performance in providing broadband communication services with provision of Quality of Service. This suggests that the work of rescue and relief teams can be significantly enhanced.

ACS Style

S. H. Alsamhi; F. A. Almalki; Ou Ma; M. S. Ansari; M. C. Angelides. Performance optimization of tethered balloon technology for public safety and emergency communications. Telecommunication Systems 2019, 75, 235 -244.

AMA Style

S. H. Alsamhi, F. A. Almalki, Ou Ma, M. S. Ansari, M. C. Angelides. Performance optimization of tethered balloon technology for public safety and emergency communications. Telecommunication Systems. 2019; 75 (2):235-244.

Chicago/Turabian Style

S. H. Alsamhi; F. A. Almalki; Ou Ma; M. S. Ansari; M. C. Angelides. 2019. "Performance optimization of tethered balloon technology for public safety and emergency communications." Telecommunication Systems 75, no. 2: 235-244.

Article
Published: 30 March 2019 in Telecommunication Systems
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This paper reviews the current development of artificial intelligence (AI) techniques for the application area of robot communication. The research of the control and operation of multiple robots collaboratively toward a common goal is fast growing. Communication among members of a robot team and even including humans is becoming essential in many real-world applications. The survey focuses on the AI techniques for robot communication to enhance the communication capability of the multi-robot team, making more complex activities, taking an appreciated decision, taking coordinated action, and performing their tasks efficiently. We present a comprehensive review of the intelligent solutions for robot communication which have been proposed in the literature in recent years. This survey contributes to a better understanding of the AI techniques for enhancing robot communication and sheds new lights on future research direction in the subject area.

ACS Style

S. H. Alsamhi; Ou Ma; Mohd. Samar Ansari. Survey on artificial intelligence based techniques for emerging robotic communication. Telecommunication Systems 2019, 72, 483 -503.

AMA Style

S. H. Alsamhi, Ou Ma, Mohd. Samar Ansari. Survey on artificial intelligence based techniques for emerging robotic communication. Telecommunication Systems. 2019; 72 (3):483-503.

Chicago/Turabian Style

S. H. Alsamhi; Ou Ma; Mohd. Samar Ansari. 2019. "Survey on artificial intelligence based techniques for emerging robotic communication." Telecommunication Systems 72, no. 3: 483-503.

Journal article
Published: 27 January 2019 in Drones
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This paper studies the network performance of collaboration between the Internet of public safety things (IoPST) and drones. Drones play a vital role in delivering timely and essential wireless communication services for the recovery of services right after a disaster by increasing surge capacity for the purposes of public safety, exploring areas that are difficult to reach, and providing an area of rapid coverage and connectivity. To provide such critical facilities in the case of disasters and for the purposes of public safety, collaboration between drones and IoPST is able to support public safety requirements such as real-time analytics, real-time monitoring, and enhanced decision-making to help smart cities meet their public safety requirements. Therefore, the deployment of drone-based wireless communication can save people and ecosystems by helping public safety organizations face threats and manage crises in an efficient manner. The contribution of this work lies in improving the level of public safety in smart cities through collaborating between smart wearable devices and drone technology. Thus, the collaboration between drones and IoPST devices establishes a public safety network that shows satisfying results in terms of enhancing efficiency and information accuracy.

ACS Style

Saeed Alsamhi; Ou Ma; M. Ansari; Sachin Gupta. Collaboration of Drone and Internet of Public Safety Things in Smart Cities: An Overview of QoS and Network Performance Optimization. Drones 2019, 3, 13 .

AMA Style

Saeed Alsamhi, Ou Ma, M. Ansari, Sachin Gupta. Collaboration of Drone and Internet of Public Safety Things in Smart Cities: An Overview of QoS and Network Performance Optimization. Drones. 2019; 3 (1):13.

Chicago/Turabian Style

Saeed Alsamhi; Ou Ma; M. Ansari; Sachin Gupta. 2019. "Collaboration of Drone and Internet of Public Safety Things in Smart Cities: An Overview of QoS and Network Performance Optimization." Drones 3, no. 1: 13.

Journal article
Published: 23 May 2018 in Disaster Medicine and Public Health Preparedness
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The actions taken at the initial times of a disaster are critical. Catastrophe occurs because of terrorist acts or natural hazards which have the potential to disrupt the infrastructure of wireless communication networks. Therefore, essential emergency functions such as search, rescue, and recovery operations during a catastrophic event will be disabled. We propose tethered balloon technology to provide efficient emergency communication services and reduce casualty mortality and morbidity for disaster recovery. The tethered balloon is an actively developed research area and a simple solution to support the performance, facilities, and services of emergency medical communication. The most critical requirement for rescue and relief teams is having a higher quality of communication services which enables them to save people’s lives. Using our proposed technology, it has been reported that the performance of rescue and relief teams significantly improved. OPNET Modeler 14.5 is used for a network simulated with the help of ad hoc tools (Disaster Med Public Health Preparedness. 2019;13:203–210).

ACS Style

Saeed Hamood Alsamhi; Mohd. Samar Ansari; Ou Ma; Faris Almalki; Sachin Kumar Gupta. Tethered Balloon Technology in Design Solutions for Rescue and Relief Team Emergency Communication Services. Disaster Medicine and Public Health Preparedness 2018, 13, 203 -210.

AMA Style

Saeed Hamood Alsamhi, Mohd. Samar Ansari, Ou Ma, Faris Almalki, Sachin Kumar Gupta. Tethered Balloon Technology in Design Solutions for Rescue and Relief Team Emergency Communication Services. Disaster Medicine and Public Health Preparedness. 2018; 13 (02):203-210.

Chicago/Turabian Style

Saeed Hamood Alsamhi; Mohd. Samar Ansari; Ou Ma; Faris Almalki; Sachin Kumar Gupta. 2018. "Tethered Balloon Technology in Design Solutions for Rescue and Relief Team Emergency Communication Services." Disaster Medicine and Public Health Preparedness 13, no. 02: 203-210.

Journal article
Published: 09 August 2017 in Disaster Medicine and Public Health Preparedness
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ObjectiveA disaster is a consequence of natural hazards and terrorist acts, which have significant potential to disrupt the entire wireless communication infrastructure. Therefore, the essential rescue squads and recovery operations during a catastrophic event will be severely debilitated. To provide efficient communication services, and to reduce casualty mortality and morbidity during the catastrophic events, we proposed the Tethered Balloon technology for disaster preparedness, detection, mitigation, and recovery assessment.MethodsThe proposed Tethered Balloon is applicable to any type of disaster except for storms. The Tethered Balloon is being actively researched and developed as a simple solution to improve the performance of rescues, facilities, and services of emergency medical communication in the disaster area. The most important requirement for rescue and relief teams during or after the disaster is a high quality of service of delivery communication services to save people’s lives.ResultsUsing our proposed technology, we report that the Tethered Balloon has a large disaster coverage area. Therefore, the rescue and research teams are given higher priority, and their performance significantly improved in the particular coverage area.ConclusionsTethered Balloon features made it suitable for disaster preparedness, mitigation, and recovery. The performance of rescue and relief teams was effective and efficient before and after the disaster as well as can be continued to coordinate the relief teams until disaster recovery. (Disaster Med Public Health Preparedness. 2018;12:222–231)

ACS Style

Saeed H. Alsamhi; Mohd Samar Ansari; Navin S. Rajput. Disaster Coverage Predication for the Emerging Tethered Balloon Technology: Capability for Preparedness, Detection, Mitigation, and Response. Disaster Medicine and Public Health Preparedness 2017, 12, 222 -231.

AMA Style

Saeed H. Alsamhi, Mohd Samar Ansari, Navin S. Rajput. Disaster Coverage Predication for the Emerging Tethered Balloon Technology: Capability for Preparedness, Detection, Mitigation, and Response. Disaster Medicine and Public Health Preparedness. 2017; 12 (2):222-231.

Chicago/Turabian Style

Saeed H. Alsamhi; Mohd Samar Ansari; Navin S. Rajput. 2017. "Disaster Coverage Predication for the Emerging Tethered Balloon Technology: Capability for Preparedness, Detection, Mitigation, and Response." Disaster Medicine and Public Health Preparedness 12, no. 2: 222-231.

Conference paper
Published: 01 December 2016 in 2016 11th International Conference on Industrial and Information Systems (ICIIS)
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Since the mobile Internet applications flourishes greatly in the recent years. Therefore, it is absolutely important and interesting to find the way to guarantee the Quality of Service (QoS) in topology-varying ad-hoc network environment, especially for Variable Bitrate (VBR) traffic. VBR is more realistic than Constant Bitrate (CBR) as it includes multimedia traffic as well as other types of traffic. This paper presents the comparative performance analysis of CBR and VBR traffic generators under influence of route maintenance parameters (Active Route Timeout (ART) and Delete Period Constant (DPC)) for Ad-hoc On-demand Distance Vector (AODV) routing protocol. Present article makes the evaluation and comparison of AODV routing performance based on three QoS parameters; throughput, average end-to-end delay, and average jitter. D-plot is used here to prepare the performance of QoS parameters graphs.

ACS Style

Sachin Kumar Gupta; Saeed Hamood Alsamhi; Professor (Dr.) R.K. Saket. Comparative performance analysis of AODV for CBR & VBR traffic under influence of ART & DPC. 2016 11th International Conference on Industrial and Information Systems (ICIIS) 2016, 112 -117.

AMA Style

Sachin Kumar Gupta, Saeed Hamood Alsamhi, Professor (Dr.) R.K. Saket. Comparative performance analysis of AODV for CBR & VBR traffic under influence of ART & DPC. 2016 11th International Conference on Industrial and Information Systems (ICIIS). 2016; ():112-117.

Chicago/Turabian Style

Sachin Kumar Gupta; Saeed Hamood Alsamhi; Professor (Dr.) R.K. Saket. 2016. "Comparative performance analysis of AODV for CBR & VBR traffic under influence of ART & DPC." 2016 11th International Conference on Industrial and Information Systems (ICIIS) , no. : 112-117.

Article
Published: 20 July 2016 in Wireless Personal Communications
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In order to provide committed Quality of Service (QoS) to the users, telecommunication service providers use different resource allocation techniques. One of such schemes is the adaptive bandwidth allocation technique. QoS is improved by minimizing the probability of dropping and blocking calls and by allocating channels, optimally. In this paper, reserved channel technique has been considered for High Altitude Platform (HAP) based communication services deployment. Such implementation is especially feasible in HAP as, on a single HAP, multiple mobile cells are created and optimal resource allocation could be done, centrally. By varying the value of reserved channels and reserved channels for hand-off, we report that the probability of blocking of a new call and successful hand-off of an ongoing call is greatly improved.

ACS Style

S. H. Alsamhi; N. S. Rajput. An Efficient Channel Reservation Technique for Improved QoS for Mobile Communication Deployment Using High Altitude Platform. Wireless Personal Communications 2016, 91, 1095 -1108.

AMA Style

S. H. Alsamhi, N. S. Rajput. An Efficient Channel Reservation Technique for Improved QoS for Mobile Communication Deployment Using High Altitude Platform. Wireless Personal Communications. 2016; 91 (3):1095-1108.

Chicago/Turabian Style

S. H. Alsamhi; N. S. Rajput. 2016. "An Efficient Channel Reservation Technique for Improved QoS for Mobile Communication Deployment Using High Altitude Platform." Wireless Personal Communications 91, no. 3: 1095-1108.