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State of the art mass transit systems, such as bus rapid transit (BRT), have appeared to be an innovative solution to meet the mobility needs of many world cities. However, their ability to transform surrounding urban fabric remains less explored in the developing world. This paper examines the impacts of BRT Lahore on land development patterns, considering the phenomena of land use revitalization, densification, and property reconfiguration. We have used quantitative approaches to gauge the changes in the urban fabric, with respect to the local neighborhood conditions and parcel level attributes, using multilevel logit models. The results of the logit models reveal heterogeneous impacts on conversions to commercial plazas, apartment buildings, and mixed-use buildings. The distance to the BRT station and size of the property is significantly associated with these conversions. Overall, one can notice a lack of a sense of place making and an absence of transit-oriented zoning around BRT stations. The desire of sustainable transit-oriented development to intensify land uses according to local conditions requires local urban designers and planners to think ahead of the curve by working on the regulatory and zoning restrictions governing the designs of built environment and also address the issues of gentrification and social inequity.
Ahmad Adeel; Bruno Notteboom; Ansar Yasar; Kris Scheerlinck; Jeroen Stevens. Insights into the Impacts of Mega Transport Infrastructures on the Transformation of Urban Fabric: Case of BRT Lahore. Sustainability 2021, 13, 7451 .
AMA StyleAhmad Adeel, Bruno Notteboom, Ansar Yasar, Kris Scheerlinck, Jeroen Stevens. Insights into the Impacts of Mega Transport Infrastructures on the Transformation of Urban Fabric: Case of BRT Lahore. Sustainability. 2021; 13 (13):7451.
Chicago/Turabian StyleAhmad Adeel; Bruno Notteboom; Ansar Yasar; Kris Scheerlinck; Jeroen Stevens. 2021. "Insights into the Impacts of Mega Transport Infrastructures on the Transformation of Urban Fabric: Case of BRT Lahore." Sustainability 13, no. 13: 7451.
The incompatibility between the microscale-built environment designs around mass transit stations and stakeholders’ preferences causes dissatisfaction and inconvenience. The lack of a pedestrian-friendly environment, uncontrolled development patterns, traffic and parking issues make the street life vulnerable and unattractive for users, and affect the mass transit usage. How to design the streetscapes around mass transit stations to provide a user-friendly street environment is a crucial question to achieve sustainable transit-oriented development goals. To recognize the specific attributes of streetscape environment relevant in local context of BRT Lahore, this paper presents the results of a visual preference experiment in which nine attributes of built environment were systematically varied across choice sets. Multinomial logit models were set up to identify the preferences of three target groups: BRT users, commercial building users and residents at different locations. The research indicates that not only the road-related factors (bike lane and sidewalk widths, crossings facilities, street greenery) have a significant influence on people’s preference but also that building heights, and the typology of buildings and housing projects around BRT corridor have shaped these preferences. When planning and designing urban design projects around mass transit projects, these significant attributes should be considered.
Ahmad Adeel; Bruno Notteboom; Ansar Yasar; Kris Scheerlinck; Jeroen Stevens. Sustainable Streetscape and Built Environment Designs around BRT Stations: A Stated Choice Experiment Using 3D Visualizations. Sustainability 2021, 13, 6594 .
AMA StyleAhmad Adeel, Bruno Notteboom, Ansar Yasar, Kris Scheerlinck, Jeroen Stevens. Sustainable Streetscape and Built Environment Designs around BRT Stations: A Stated Choice Experiment Using 3D Visualizations. Sustainability. 2021; 13 (12):6594.
Chicago/Turabian StyleAhmad Adeel; Bruno Notteboom; Ansar Yasar; Kris Scheerlinck; Jeroen Stevens. 2021. "Sustainable Streetscape and Built Environment Designs around BRT Stations: A Stated Choice Experiment Using 3D Visualizations." Sustainability 13, no. 12: 6594.
Internet of Drones (IoD) formation offers a wide variety of applications in military and civilian environments. In highly congested terrain, dynamic and static obstacles have a critical impact on IoD performance. One of the critical challenges in IoD missions is avoiding obstacles for successfully and safely completing their tasks. The limited flight time of a drone is another challenge. Thus, IoD has to be provided by an intelligent and accurate energy-efficient collision avoidance algorithm in which IoD paths are modified online to guarantee drones safety. This paper presents an energy-efficient strategy to avoid static and dynamic collisions with minimum energy required for drones to reach their destinations safely. We develop a novel algorithm to avoid multiple static and dynamic obstacles of different sizes within a limited detection range with energy consumption minimization. To do so, the gradient-based approach is utilized in the proposed algorithm for fast and quick convergence. Furthermore, the proposed algorithm allows drones to be in hovering or backtracking states; or they can fly vertically in other cases. More importantly, the results validate the efficiency and accuracy of the proposed algorithm in a dense environment that involves high collision risk with obstacle relative speed up to 10 meters/sec.
Gamil Ahmed; Tarek Sheltami; Mohamed Deriche; Ansar Yasar. An energy efficient IoD static and dynamic collision avoidance approach based on gradient optimization. Ad Hoc Networks 2021, 118, 102519 .
AMA StyleGamil Ahmed, Tarek Sheltami, Mohamed Deriche, Ansar Yasar. An energy efficient IoD static and dynamic collision avoidance approach based on gradient optimization. Ad Hoc Networks. 2021; 118 ():102519.
Chicago/Turabian StyleGamil Ahmed; Tarek Sheltami; Mohamed Deriche; Ansar Yasar. 2021. "An energy efficient IoD static and dynamic collision avoidance approach based on gradient optimization." Ad Hoc Networks 118, no. : 102519.
Unmanned Aerial Vehicle (UAV) based technologies are suitable for many civil and military application. In case of the occurrence of some natural disasters such as storms, the infrastructure of the communication system plays a vital role in offering rescue services. In such situations, energy and distance limitations can affect the operations of the UAVs and change the efficiency of the UAV network. To overcome intermittent connectivity and unstable links in this highly dynamic topology, a resilient UAV network is needed. In this paper, the communications infrastructure of a multi-UAV network is investigated in term of availability and survivability factors. We utilize the selected path in the multi-level multi-UAV network to avoid problems associated to interference, link failures, energy constrains, and routing. We present a distributed approach, namely: Survivable Communication Game based Approach (SCGA). SCGA works based on a cooperative communication between UAVs to guarantee a reliable data transmission using the best path. First, we build the utility of our approach based on the achievable rate, transmission delay, and energy consumption. Next, we formulate the interactions between UAVs based on a game framework approach. last, we conduct an extensive simulation using different communication scenarios to investigate the performance of the SCGA in terms of survivability, scalability, and reliability. In addition, the communication links and the connectivity between UAVs are tested using different performance metrics. Moreover, we compare SCGA against both of Nearest Neighbor (NN) and Nash Network Formation (NNF) schemes. The simulation results show that SCGA outperforms both of NN and NNF schemes in terms survivability, scalability, and reliability.
Ibrahim A. Nemer; Tarek R. Sheltami; Ansar Ul-Haque Yasar. A Survivable Communication Game based Approach for a network of cooperative UAVs. Computer Communications 2021, 173, 120 -133.
AMA StyleIbrahim A. Nemer, Tarek R. Sheltami, Ansar Ul-Haque Yasar. A Survivable Communication Game based Approach for a network of cooperative UAVs. Computer Communications. 2021; 173 ():120-133.
Chicago/Turabian StyleIbrahim A. Nemer; Tarek R. Sheltami; Ansar Ul-Haque Yasar. 2021. "A Survivable Communication Game based Approach for a network of cooperative UAVs." Computer Communications 173, no. : 120-133.
Unmanned Aerial Vehicles (UAVs) are widely available in the current market to be used either for recreation as a hobby or to serve specific industrial requirements, such as agriculture and construction. However, illegitimate and criminal usage of UAVs is also on the rise which introduces their effective identification and detection as a research challenge. This paper proposes a novel machine learning-based for efficient identification and detection of UAVs. Specifically, an improved UAV identification and detection approach is presented using an ensemble learning based on the hierarchical concept, along with pre-processing and feature extraction stages for the Radio Frequency (RF) data. Filtering is applied on the RF signals in the detection approach to improve the output. This approach consists of four classifiers and they are working in a hierarchical way. The sample will pass the first classifier to check the availability of the UAV, and then it will specify the type of the detected UAV using the second classifier. The last two classifiers will handle the sample that is related to Bebop and AR to specify their mode. Evaluation of the proposed approach with publicly available dataset demonstrates better efficiency compared to existing detection systems in the literature. It has the ability to investigate whether a UAV is flying within the area or not, and it can directly identify the type of UAV and then the flight mode of the detected UAV with accuracy around 99%.
Ibrahim Nemer; Tarek Sheltami; Irfan Ahmad; Ansar Yasar; Mohammad Abdeen. RF-Based UAV Detection and Identification Using Hierarchical Learning Approach. Sensors 2021, 21, 1947 .
AMA StyleIbrahim Nemer, Tarek Sheltami, Irfan Ahmad, Ansar Yasar, Mohammad Abdeen. RF-Based UAV Detection and Identification Using Hierarchical Learning Approach. Sensors. 2021; 21 (6):1947.
Chicago/Turabian StyleIbrahim Nemer; Tarek Sheltami; Irfan Ahmad; Ansar Yasar; Mohammad Abdeen. 2021. "RF-Based UAV Detection and Identification Using Hierarchical Learning Approach." Sensors 21, no. 6: 1947.
Ansar-Ul-Haque Yasar; Haroon Malik; Elhadi M. Shakshuki; Stephane Galland. Special issue on trends & advances to mine intelligence from ambient data. Personal and Ubiquitous Computing 2021, 25, 1 -5.
AMA StyleAnsar-Ul-Haque Yasar, Haroon Malik, Elhadi M. Shakshuki, Stephane Galland. Special issue on trends & advances to mine intelligence from ambient data. Personal and Ubiquitous Computing. 2021; 25 (1):1-5.
Chicago/Turabian StyleAnsar-Ul-Haque Yasar; Haroon Malik; Elhadi M. Shakshuki; Stephane Galland. 2021. "Special issue on trends & advances to mine intelligence from ambient data." Personal and Ubiquitous Computing 25, no. 1: 1-5.
Elhadi M. Shakshuki; Ansar-Ul-Haque Yasar. Special issue on advances in data intelligence and modelling. Journal of Ambient Intelligence and Humanized Computing 2021, 12, 1 -3.
AMA StyleElhadi M. Shakshuki, Ansar-Ul-Haque Yasar. Special issue on advances in data intelligence and modelling. Journal of Ambient Intelligence and Humanized Computing. 2021; 12 (1):1-3.
Chicago/Turabian StyleElhadi M. Shakshuki; Ansar-Ul-Haque Yasar. 2021. "Special issue on advances in data intelligence and modelling." Journal of Ambient Intelligence and Humanized Computing 12, no. 1: 1-3.
Non-recurrent congestion, which is mainly due to traffic incidents, may seriously impact the performance and operation of a traffic system. Reacting quickly and in a uniform and structured way is vital. In particular, choosing the appropriate response strategy with only a short delay may mitigate the impact of incidents, improve traffic efficiency, and increase safety in the transportation system. This paper proposes STIMF: a smart traffic incident management framework to reduce the burden on traffic incident operators by assisting them in selecting the most appropriate response strategy when an incident occurs. STIMF includes two software systems: (a) a simulation environment used to evaluate traffic incident management strategies and (b) a fuzzy-logic inference system that allows the traffic operator to get prompt recommendations on the best response strategies based on the current context and conditions. Moreover, the STIMF framework also describes the process of preparing and building the simulation environment. To evaluate the proposed framework, we tested it on a section of the Muscat expressway in Oman.
Siham G. Farrag; Nabil Sahli; Youssef El-Hansali; Elhadi M. Shakshuki; Ansar Yasar; Haroon Malik. STIMF: a smart traffic incident management framework. Journal of Ambient Intelligence and Humanized Computing 2021, 12, 85 -101.
AMA StyleSiham G. Farrag, Nabil Sahli, Youssef El-Hansali, Elhadi M. Shakshuki, Ansar Yasar, Haroon Malik. STIMF: a smart traffic incident management framework. Journal of Ambient Intelligence and Humanized Computing. 2021; 12 (1):85-101.
Chicago/Turabian StyleSiham G. Farrag; Nabil Sahli; Youssef El-Hansali; Elhadi M. Shakshuki; Ansar Yasar; Haroon Malik. 2021. "STIMF: a smart traffic incident management framework." Journal of Ambient Intelligence and Humanized Computing 12, no. 1: 85-101.
Drones flights have been investigated widely. In the presence of high density and complex missions, collision avoidance among swarm of drones and with environment obstacles becomes a challenging task and indispensable. This paper aims to enhance the optimality and rapidity of three dimensional IoD path generation by improving the particle swarm optimization (PSO) algorithm. The improvements include using chaos map logic to initialize the population of PSO. Also, adaptive mutation is utilized to balance local and global search. Then, the inactive particles are replaced by new fresh particles to push the solution toward global optimal. Furthermore, Monte Carlo simulation is carried out and the results are compared with slandered PSO and with recent work CIPSO. The results exhibit significant improvement in convergence speed as well as optimal solution which prove the ability of proposed method to generate safety path for IoD formation without collision with terrain obstacle and among drones.
Gamil Ahmed; Tarek Sheltami; Ashraf Mahmoud; Ansar Yasar. IoD swarms collision avoidance via improved particle swarm optimization. Transportation Research Part A: Policy and Practice 2020, 142, 260 -278.
AMA StyleGamil Ahmed, Tarek Sheltami, Ashraf Mahmoud, Ansar Yasar. IoD swarms collision avoidance via improved particle swarm optimization. Transportation Research Part A: Policy and Practice. 2020; 142 ():260-278.
Chicago/Turabian StyleGamil Ahmed; Tarek Sheltami; Ashraf Mahmoud; Ansar Yasar. 2020. "IoD swarms collision avoidance via improved particle swarm optimization." Transportation Research Part A: Policy and Practice 142, no. : 260-278.
Blockchains have emerged over time as a reliable and secure way to record transactions in an immutable manner in a wide range of application domains. However, current related solutions are not yet capable of appropriately checking the authenticity of data when their volumes are huge. They are not also capable of updating Blockchain data blocks and synchronizing them within reasonable timeframes. This is the case within the specific context of Blockchain vehicular networks, where these solutions are commonly cumbersome when attempting to add new vehicles to the network. In order to address these problems, we propose in this paper a new Blockchain-based solution that intelligently implement selective communication and collaborative endorsement approaches to reduce communications between vehicles. Our solution represents the vehicles of the Blockchain as intelligent software agents with a Belief–Desire–Intention (BDI) architecture. Furthermore, we propose an approach based on multi-endorsement levels to exchange data of varying sensitive categories. This approach, which is based on endorsing scores, is also used to shorten the admission of new vehicles into the Blockchain. We run simulations using the Hyperledger Fabric Blockchain tool. Results show the efficiency of our solution in reducing the processing times of transactions within two different scenarios.
Bacem Mbarek; Nafaa Jabeur; Tomás Pitner; Ansar-Ul-Haque Yasar. Empowering Communications in Vehicular Networks with an Intelligent Blockchain-Based Solution. Sustainability 2020, 12, 7917 .
AMA StyleBacem Mbarek, Nafaa Jabeur, Tomás Pitner, Ansar-Ul-Haque Yasar. Empowering Communications in Vehicular Networks with an Intelligent Blockchain-Based Solution. Sustainability. 2020; 12 (19):7917.
Chicago/Turabian StyleBacem Mbarek; Nafaa Jabeur; Tomás Pitner; Ansar-Ul-Haque Yasar. 2020. "Empowering Communications in Vehicular Networks with an Intelligent Blockchain-Based Solution." Sustainability 12, no. 19: 7917.
Dynamic hard shoulder running and ramp closure are two active traffic management (ATM) strategies that are used to alleviate highway traffic congestion. This study aims to evaluate the effects of these two strategies on congested freeways under non-recurring congestion. The study’s efforts can be considered in two parts. First, we performed a detailed microsimulation analysis to quantify the potential benefits of these two ATM strategies in terms of safety, traffic operation, and environmental impact. Second, we evaluated the implementation feasibility of these two strategies. The simulation results indicated that the implementation of the hard shoulder showed a 50%–57% reduction in delay, a 41%–44% reduction in fuel consumption and emissions, and a 15%–18% increase in bottleneck throughput. By contrast, the implementation of ramp closure showed a 20%–34% decrease in travel time, a 6%–9% increase in bottleneck throughput, and an 18%–32% reduction in fuel consumption and emissions. Eventually, both strategies were found to be economically feasible.
Siham Farrag; Fatma Outay; Ansar Yasar; Moulay El-Hansali. Evaluating Active Traffic Management (ATM) Strategies under Non-Recurring Congestion: Simulation-Based with Benefit Cost Analysis Case Study. Sustainability 2020, 12, 6027 .
AMA StyleSiham Farrag, Fatma Outay, Ansar Yasar, Moulay El-Hansali. Evaluating Active Traffic Management (ATM) Strategies under Non-Recurring Congestion: Simulation-Based with Benefit Cost Analysis Case Study. Sustainability. 2020; 12 (15):6027.
Chicago/Turabian StyleSiham Farrag; Fatma Outay; Ansar Yasar; Moulay El-Hansali. 2020. "Evaluating Active Traffic Management (ATM) Strategies under Non-Recurring Congestion: Simulation-Based with Benefit Cost Analysis Case Study." Sustainability 12, no. 15: 6027.
Ansar-Ul-Haque Yasar; Haroon Malik; Elhadi M. Shakshuki. Special Issue on Emerging trends in Ubiquitous Systems and Pervasive Networks. Future Generation Computer Systems 2020, 110, 317 -319.
AMA StyleAnsar-Ul-Haque Yasar, Haroon Malik, Elhadi M. Shakshuki. Special Issue on Emerging trends in Ubiquitous Systems and Pervasive Networks. Future Generation Computer Systems. 2020; 110 ():317-319.
Chicago/Turabian StyleAnsar-Ul-Haque Yasar; Haroon Malik; Elhadi M. Shakshuki. 2020. "Special Issue on Emerging trends in Ubiquitous Systems and Pervasive Networks." Future Generation Computer Systems 110, no. : 317-319.
Recently, simulation models have been widely used around the world to evaluate the performance of different traffic facilities and management strategies for efficient and sustainable transportation systems. One of the keys factors for ensuring the reliability of the models in reflecting local conditions is the calibration and validation of microsimulation models. The majority of the existing calibration efforts focus is on the experimental designs of driver behaviour and lane-changing parameters. Towards this end, this paper describes the necessary procedure for the calibration and validation of a microscopic model using the VISSIM software, during peak hours. The procedure is applied on Muscat Expressway in the Sultanate of Oman. The calibration parameters and the measure-of-effectiveness are identified by using multi-parameter sensitivity analysis. The optimum values for these parameters are obtained by minimising errors between simulated data and field data. In our proposed model, we used traffic volume and travel speed for model calibration, as well as average travel time for validation of the calibrated model. The achieved results showed that driving characteristics significantly impacted the merging/diverging traffic flow ratio in the merging area, the link length and the distance between on-ramps and off-ramps, as well as the percentage of heavy vehicles. The results also showed that having both the advanced merging and cooperative lane-change settings active, along with safety distance reduction factor, necessary lane change, minimum headway (front/rear), and emergency stop, had a significant influence on simulation precision, especially at on-ramps and off-ramps. Finally, our proposed model can be utilized as a base for future traffic strategy analysis and intelligent transportation systems evaluation to help decision makers with long-term and sustainable development decisions.
Siham G. Farrag; Moulay Youssef El-Hansali; Ansar-Ul-Haque Yasar; Elhadi M. Shakshuki; Haroon Malik. A microsimulation-based analysis for driving behaviour modelling on a congested expressway. Journal of Ambient Intelligence and Humanized Computing 2020, 11, 5857 -5874.
AMA StyleSiham G. Farrag, Moulay Youssef El-Hansali, Ansar-Ul-Haque Yasar, Elhadi M. Shakshuki, Haroon Malik. A microsimulation-based analysis for driving behaviour modelling on a congested expressway. Journal of Ambient Intelligence and Humanized Computing. 2020; 11 (12):5857-5874.
Chicago/Turabian StyleSiham G. Farrag; Moulay Youssef El-Hansali; Ansar-Ul-Haque Yasar; Elhadi M. Shakshuki; Haroon Malik. 2020. "A microsimulation-based analysis for driving behaviour modelling on a congested expressway." Journal of Ambient Intelligence and Humanized Computing 11, no. 12: 5857-5874.
Street vending is an essential part of the urban informal economy in developing countries. Related to rapid urbanization and socio-economic challenges, studies have proposed comprehensive street design and management that accommodate sidewalk vendors efficiently. To this end, this paper evaluated the effect of three alternatives to integrate sidewalk vendors on average pedestrian density. A social-force based pedestrian microsimulation model (PTV-Viswalk-11) was calibrated using a macroscopic approach. A calibrated model was then used to evaluate the effect of a kiosk, a sidewalk vendor in frontage, and a sidewalk vendor in furniture zones on pedestrian movement under different scenarios. Results indicated that the average pedestrian density varied with the location and width of the vending stall, width of the walkway, pedestrian flow and the presence of a customer interacting with a vendor. The paper concludes with recommendations for planners and local authorities.
Kibret Gebremedhin Hagos; Muhammad Adnan; Ansar-Ul-Haque Yasar. Effect of sidewalk vendors on pedestrian movement characteristics: A microscopic simulation study of Addis Ababa, Ethiopia. Cities 2020, 103, 102769 .
AMA StyleKibret Gebremedhin Hagos, Muhammad Adnan, Ansar-Ul-Haque Yasar. Effect of sidewalk vendors on pedestrian movement characteristics: A microscopic simulation study of Addis Ababa, Ethiopia. Cities. 2020; 103 ():102769.
Chicago/Turabian StyleKibret Gebremedhin Hagos; Muhammad Adnan; Ansar-Ul-Haque Yasar. 2020. "Effect of sidewalk vendors on pedestrian movement characteristics: A microscopic simulation study of Addis Ababa, Ethiopia." Cities 103, no. : 102769.
Correspondence to Elhadi M. Shakshuki. Reprints and Permissions Shakshuki, E.M., Yasar, A. & Malik, H. Applications of machine learning in pervasive systems. J Ambient Intell Human Comput (2020). https://doi.org/10.1007/s12652-020-02093-w Download citation Published: 14 May 2020 DOI: https://doi.org/10.1007/s12652-020-02093-w
Elhadi M. Shakshuki; Ansar-Ul-Haque Yasar; Haroon Malik. Applications of machine learning in pervasive systems. Journal of Ambient Intelligence and Humanized Computing 2020, 11, 5807 -5808.
AMA StyleElhadi M. Shakshuki, Ansar-Ul-Haque Yasar, Haroon Malik. Applications of machine learning in pervasive systems. Journal of Ambient Intelligence and Humanized Computing. 2020; 11 (12):5807-5808.
Chicago/Turabian StyleElhadi M. Shakshuki; Ansar-Ul-Haque Yasar; Haroon Malik. 2020. "Applications of machine learning in pervasive systems." Journal of Ambient Intelligence and Humanized Computing 11, no. 12: 5807-5808.
Hedi Haddad; Zied Bouyahia; Nafaa Jabeur; Ansar-Ul-Haque Yasar. Socially-Structured Vanpooling: A Case Study in Salalah, Oman. IEEE Intelligent Transportation Systems Magazine 2020, 1 .
AMA StyleHedi Haddad, Zied Bouyahia, Nafaa Jabeur, Ansar-Ul-Haque Yasar. Socially-Structured Vanpooling: A Case Study in Salalah, Oman. IEEE Intelligent Transportation Systems Magazine. 2020; (99):1.
Chicago/Turabian StyleHedi Haddad; Zied Bouyahia; Nafaa Jabeur; Ansar-Ul-Haque Yasar. 2020. "Socially-Structured Vanpooling: A Case Study in Salalah, Oman." IEEE Intelligent Transportation Systems Magazine , no. 99: 1.
This paper proposes a modified architecture of the Long-Term Evolution (LTE) mobile network to provide services for the Internet of Things (IoT). This is achieved by allocating a narrow bandwidth and transferring the scheduling functions from the eNodeB base station to an NB-IoT controller. A method for allocating uplink and downlink resources of the LTE/NB-IoT hybrid technology is applied to ensure the Quality of Service (QoS) from end-to-end. This method considers scheduling traffic/resources on the NB-IoT controller, which allows eNodeB planning to remain unchanged. This paper also proposes a prioritization approach within the IoT traffic to provide End-to-End (E2E) QoS in the integrated LTE/NB-IoT network. Further, we develop “smart queue” management algorithms for the IoT traffic prioritization. To demonstrate the feasibility of our approach, we performed a number of experiments using simulations. We concluded that our proposed approach ensures high end-to-end QoS of the real-time traffic by reducing the average end-to-end transmission delay.
Mykola Beshley; Natalia Kryvinska; Marian Seliuchenko; Halyna Beshley; Elhadi M. Shakshuki; Ansar-Ul-Haque Yasar. End-to-End QoS “Smart Queue” Management Algorithms and Traffic Prioritization Mechanisms for Narrow-Band Internet of Things Services in 4G/5G Networks. Sensors 2020, 20, 2324 .
AMA StyleMykola Beshley, Natalia Kryvinska, Marian Seliuchenko, Halyna Beshley, Elhadi M. Shakshuki, Ansar-Ul-Haque Yasar. End-to-End QoS “Smart Queue” Management Algorithms and Traffic Prioritization Mechanisms for Narrow-Band Internet of Things Services in 4G/5G Networks. Sensors. 2020; 20 (8):2324.
Chicago/Turabian StyleMykola Beshley; Natalia Kryvinska; Marian Seliuchenko; Halyna Beshley; Elhadi M. Shakshuki; Ansar-Ul-Haque Yasar. 2020. "End-to-End QoS “Smart Queue” Management Algorithms and Traffic Prioritization Mechanisms for Narrow-Band Internet of Things Services in 4G/5G Networks." Sensors 20, no. 8: 2324.
Elhadi M. Shakshuki; Haroon Malik; Ansar-Ul-Haque Yasar. Ambient systems, networks & technologies. Future Generation Computer Systems 2020, 107, 1011 -1013.
AMA StyleElhadi M. Shakshuki, Haroon Malik, Ansar-Ul-Haque Yasar. Ambient systems, networks & technologies. Future Generation Computer Systems. 2020; 107 ():1011-1013.
Chicago/Turabian StyleElhadi M. Shakshuki; Haroon Malik; Ansar-Ul-Haque Yasar. 2020. "Ambient systems, networks & technologies." Future Generation Computer Systems 107, no. : 1011-1013.
As modern cities expand and develop, the resultant increase in population density gives rise to the need for smart solutions to cope with the demands applied to the infrastructure of the city. In this paper, we investigate the shortcomings of traffic policing and emergency response handling systems; propose an intelligent, autonomous UAV-enabled solution; and describe the system in a simulated environment. Several scenarios of traffic monitoring and policing system are considered in the simulation: traffic light violations and accident detection, mobile speeding traps and automated notification, congestion detection and traffic rerouting, flagged stolen vehicles/pending arrest warrants and vehicle tracking using UAVs, and autonomous emergency response handling systems. Furthermore, smart city infrastructure enable intelligent handling of emergencies by providing traffic light prioritization for ground emergency response units to reduce delay for patient care, automated physical bollard on routes with congested points due to accidents or hazards, first responder support UAV units—medical supplies UAV, fire fighting UAV to combat or control small fires, and numerous other benefits. Lastly, we present the results of the simulated system and discuss our findings.
Abdurrahman Beg; Abdul Rahman Qureshi; Tarek Sheltami; Ansar Yasar. UAV-enabled intelligent traffic policing and emergency response handling system for the smart city. Personal and Ubiquitous Computing 2020, 25, 33 -50.
AMA StyleAbdurrahman Beg, Abdul Rahman Qureshi, Tarek Sheltami, Ansar Yasar. UAV-enabled intelligent traffic policing and emergency response handling system for the smart city. Personal and Ubiquitous Computing. 2020; 25 (1):33-50.
Chicago/Turabian StyleAbdurrahman Beg; Abdul Rahman Qureshi; Tarek Sheltami; Ansar Yasar. 2020. "UAV-enabled intelligent traffic policing and emergency response handling system for the smart city." Personal and Ubiquitous Computing 25, no. 1: 33-50.
Wireless sensor networks (WSNs) are mainly data-driven networks adopted to improve the Internet of Things (IoT) in terms of data throughput, energy-efficiency and self-management. Improving the data lifespan of WSN impacts the performance of the IoT. Achieving data reliability in applications of WSNs deployed in harsh environments is challenging due to the extreme constraints in resources of sensor nodes (SNs). Motivated by the inexpensive infrastructure of WSNs, a number of distributed storage systems have been proposed focusing on achieving data Survivability rather than network reliability. In this paper, we focus on data storage at the things layer, (wireless sensors). We evaluate the performance of a number of distributed data storage systems over WSN running over the Zigbee MAC protocol. Based on our findings, we introduce a new efficient-energy data dissemination scheme called Data Survivability with Energy Efficiency (DSwEE) that outperforms existing schemes. We compare DSwEE against two prominent protocols in data storage, namely: Decentralized Erasure Code for Data Survivability (DEC-DS) and Decentralized Erasure Code Encode-and-Disseminate (DEC-EaD). Results show that DSwEE achieves better performance than both of DEC-DS and DEC-EaD in terms of the energy consumption and data recoverability for localized failures, which improves the lifespan of the network.
Mohammed Asiri; Tarek Sheltami; Louai Al-Awami; Ansar Yasar. A Novel Approach for Efficient Management of Data Lifespan of IoT Devices. IEEE Internet of Things Journal 2019, 7, 4566 -4574.
AMA StyleMohammed Asiri, Tarek Sheltami, Louai Al-Awami, Ansar Yasar. A Novel Approach for Efficient Management of Data Lifespan of IoT Devices. IEEE Internet of Things Journal. 2019; 7 (5):4566-4574.
Chicago/Turabian StyleMohammed Asiri; Tarek Sheltami; Louai Al-Awami; Ansar Yasar. 2019. "A Novel Approach for Efficient Management of Data Lifespan of IoT Devices." IEEE Internet of Things Journal 7, no. 5: 4566-4574.