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With the tremendous increase in the research and development of Internet of Things and Internet of Vehicles, the research scope of Mobile Ad Hoc networks has also increased, rapidly. A number of routing protocols have been proposed to transfer data packets from source to destination nodes. Among these routing protocols, some of them have focused upon multiple paths for data transfer so that route re-discovery time could be minimized. Thus, the end-to-end delay has reduced. The main purpose of these multi-path routing protocols is to balance the load among all or some of the available routes. However, the selection of proper parameters is very crucial and important for load balancing. In this paper, we develop a load-balanced multi-path routing protocol with energy constraints (EE-LB-AOMDV). It first categorized the multiple paths based upon three parameters: hop-count, round-trip time, and residual energy. Then only, it starts data transmission based upon the quality of the path. The simulation results show that the performance of the proposed routing protocol has been improved significantly in terms of packet delivery ratio (PDR), average end-to-end delay (delay), routing overhead (overhead), energy exhausted nodes, and route rediscovery frequencies.
Mohd Naseem; Gulfam Ahamad; Sparsh Sharma; Ehtesham Abbasi. EE‐LB‐AOMDV: An efficient energy constraints‐based load‐balanced multipath routing protocol for MANETs. International Journal of Communication Systems 2021, e4946 .
AMA StyleMohd Naseem, Gulfam Ahamad, Sparsh Sharma, Ehtesham Abbasi. EE‐LB‐AOMDV: An efficient energy constraints‐based load‐balanced multipath routing protocol for MANETs. International Journal of Communication Systems. 2021; ():e4946.
Chicago/Turabian StyleMohd Naseem; Gulfam Ahamad; Sparsh Sharma; Ehtesham Abbasi. 2021. "EE‐LB‐AOMDV: An efficient energy constraints‐based load‐balanced multipath routing protocol for MANETs." International Journal of Communication Systems , no. : e4946.
Internet of Things (IoT) is a future interpretation of internet that recognizes machine‐to‐machine learning. This chapter discusses evolution of IoT, architecture of IoT, challenges in IoT, and technology used in IoT. IoT generally involves objects and internet connectivity. The chapter describes emergence of cloud computing, models of deployment for cloud computing, service models, cloud computing characteristics, applications of cloud computing. It explains some of the useful technologies that are useful in IoT as follows: radio‐frequency identification, and sensors. Cloud Computing is a progressing technology where it can be used as a medium of storage and processing of applications and data. Cloud Computing is applicable in various fields like storage purposes, maps, and services. Cloud IoT has reshaped the entire IoT. The cloud‐based IoT follows three‐layer based architecture which are perception layer, network layer and application layer. Cloud‐based IoT can be applied in various fields such as smart homes, healthcare, and logistics.
Farhana Ajaz; Mohd Naseem; Ghulfam Ahamad; Sparsh Sharma; Ehtesham Abbasi. An Analysis of Cloud Computing Based on Internet of Things. Integration of Cloud Computing with Internet of Things 2021, 197 -210.
AMA StyleFarhana Ajaz, Mohd Naseem, Ghulfam Ahamad, Sparsh Sharma, Ehtesham Abbasi. An Analysis of Cloud Computing Based on Internet of Things. Integration of Cloud Computing with Internet of Things. 2021; ():197-210.
Chicago/Turabian StyleFarhana Ajaz; Mohd Naseem; Ghulfam Ahamad; Sparsh Sharma; Ehtesham Abbasi. 2021. "An Analysis of Cloud Computing Based on Internet of Things." Integration of Cloud Computing with Internet of Things , no. : 197-210.
Sparsh Sharma; Vinit Jhaketiya; Ajay Kaul; Abrar Ahmed Raza; Suhaib Ahmed; Mohd. Naseem. Automatic Prediction of Road Angles using Deep Learning-Based Transfer Learning Models. IOP Conference Series: Materials Science and Engineering 2021, 1099, 1 .
AMA StyleSparsh Sharma, Vinit Jhaketiya, Ajay Kaul, Abrar Ahmed Raza, Suhaib Ahmed, Mohd. Naseem. Automatic Prediction of Road Angles using Deep Learning-Based Transfer Learning Models. IOP Conference Series: Materials Science and Engineering. 2021; 1099 (1):1.
Chicago/Turabian StyleSparsh Sharma; Vinit Jhaketiya; Ajay Kaul; Abrar Ahmed Raza; Suhaib Ahmed; Mohd. Naseem. 2021. "Automatic Prediction of Road Angles using Deep Learning-Based Transfer Learning Models." IOP Conference Series: Materials Science and Engineering 1099, no. 1: 1.
As the rapid invention and innovation has been performed in the automobile sectors, the modern vehicles are supposed to perform communication through heterogeneous technologies. In this process, the modern vehicles should be able to commutate tremendous amount of data and information within their neighborhood. To incorporate these requirements of modern vehicles, the conventional VANET are emerging to the Internet of Vehicles (IoV). In this chapter, we intend to contribute in review of routing protocols of the IoV. We will classify different type of routing protocols based on different parameters (information based, topology based, position based, delay based, target network). We will also discuss the challenges of routing protocols and future direction. This chapter ought to guide and motivate researchers of IoV to develop efficient routing protocols.
Farhana Ajaz; Mohd. Naseem; Gulfam Ahamad; Qamar Rayees Khan; Sparsh Sharma; Ehtesham Abbasi. Routing Protocols for Internet of Vehicles: A Review. Studies in Big Data 2021, 95 -103.
AMA StyleFarhana Ajaz, Mohd. Naseem, Gulfam Ahamad, Qamar Rayees Khan, Sparsh Sharma, Ehtesham Abbasi. Routing Protocols for Internet of Vehicles: A Review. Studies in Big Data. 2021; ():95-103.
Chicago/Turabian StyleFarhana Ajaz; Mohd. Naseem; Gulfam Ahamad; Qamar Rayees Khan; Sparsh Sharma; Ehtesham Abbasi. 2021. "Routing Protocols for Internet of Vehicles: A Review." Studies in Big Data , no. : 95-103.
Ensuring soil strength, as well as preliminary construction cost and duration prediction, is a very crucial and preliminary aspect of any construction project. Similarly, building strong structures is very important in geotechnical engineering to ensure the bearing capability of structures against external forces. Hence, in this first-of-its-kind state-of-the-art review, the capability of various artificial intelligence (AI)-based models toward accurate prediction and estimation of preliminary construction cost, duration, and shear strength is explored. Initially, background regarding the revolutionary AI technology along with its different models suited for geotechnical and construction engineering is presented. Various existing works in the literature on the usage of AI-based models for the abovementioned applications of construction and maintenance are presented along with their advantages, limitations, and future work. Through analysis, various crucial input parameters with great impact on the estimation of preliminary construction cost, duration, and soil shear strength are enumerated and presented. Lastly, various challenges in using AI-based models for accurate predictions in these applications, as well as factors contributing to the cost-overrun issues, are presented. This study can, thus, greatly assist civil engineers in efficiently using the capabilities of AI for solving complex and risk-sensitive tasks, and it can also be used in Internet of things (IoT) environments for automated applications such as smart structural health-monitoring systems.
Sparsh Sharma; Suhaib Ahmed; Mohd Naseem; Waleed S. Alnumay; Saurabh Singh; Gi Hwan Cho. A Survey on Applications of Artificial Intelligence for Pre-Parametric Project Cost and Soil Shear-Strength Estimation in Construction and Geotechnical Engineering. Sensors 2021, 21, 463 .
AMA StyleSparsh Sharma, Suhaib Ahmed, Mohd Naseem, Waleed S. Alnumay, Saurabh Singh, Gi Hwan Cho. A Survey on Applications of Artificial Intelligence for Pre-Parametric Project Cost and Soil Shear-Strength Estimation in Construction and Geotechnical Engineering. Sensors. 2021; 21 (2):463.
Chicago/Turabian StyleSparsh Sharma; Suhaib Ahmed; Mohd Naseem; Waleed S. Alnumay; Saurabh Singh; Gi Hwan Cho. 2021. "A Survey on Applications of Artificial Intelligence for Pre-Parametric Project Cost and Soil Shear-Strength Estimation in Construction and Geotechnical Engineering." Sensors 21, no. 2: 463.
Chiranjeev Kumar; Mohd Naseem. QSLB: queue size based single path load balancing routing protocol for MANETs. International Journal of Ad Hoc and Ubiquitous Computing 2017, 24, 90 .
AMA StyleChiranjeev Kumar, Mohd Naseem. QSLB: queue size based single path load balancing routing protocol for MANETs. International Journal of Ad Hoc and Ubiquitous Computing. 2017; 24 (1):90.
Chicago/Turabian StyleChiranjeev Kumar; Mohd Naseem. 2017. "QSLB: queue size based single path load balancing routing protocol for MANETs." International Journal of Ad Hoc and Ubiquitous Computing 24, no. 1: 90.
A mobile ad hoc networks (MANETs) is a collection of independent mobile nodes, which are able to communicate in the wireless medium without the assistance of any infrastructure. Because of the dynamic nature of MANETs and resources constraints of wireless medium, load must be distributed throughout the network based on some parameters. Otherwise, resources of the heavily loaded nodes deplete soon and those nodes could not participate further in the communication. So, network performance degrades due to the congestion. Load at the nodes situated in the centre of the network is higher as compared to the other part of the network. In this paper, we propose a load balancing technique that distributes the traffic throughout the network in such a way that load at the centre of the network decreases. Simulation results show that the proposed routing protocol distributes the load efficiently and improve the network performance.
Mohd Naseem; Chiranjeev Kumar. QSLB: queue size based single path load balancing routing protocol for MANETs. International Journal of Ad Hoc and Ubiquitous Computing 2017, 24, 90 .
AMA StyleMohd Naseem, Chiranjeev Kumar. QSLB: queue size based single path load balancing routing protocol for MANETs. International Journal of Ad Hoc and Ubiquitous Computing. 2017; 24 (1/2):90.
Chicago/Turabian StyleMohd Naseem; Chiranjeev Kumar. 2017. "QSLB: queue size based single path load balancing routing protocol for MANETs." International Journal of Ad Hoc and Ubiquitous Computing 24, no. 1/2: 90.
Mohd Naseem; Chiranjeev Kumar. Queue-based multiple path load balancing routing protocol for MANETs. International Journal of Communication Systems 2016, 30, e3141 .
AMA StyleMohd Naseem, Chiranjeev Kumar. Queue-based multiple path load balancing routing protocol for MANETs. International Journal of Communication Systems. 2016; 30 (6):e3141.
Chicago/Turabian StyleMohd Naseem; Chiranjeev Kumar. 2016. "Queue-based multiple path load balancing routing protocol for MANETs." International Journal of Communication Systems 30, no. 6: e3141.
Congestion is the primary reason for packet drop and delay in the mobile ad hoc networks. In this paper, a new routing protocol called Congestion-aware Fibonacci Multipath Load Balancing (Congestion-aware FMLB) routing protocol has been proposed that finds multiple node-disjoint paths between source and destination nodes, sorts them in increasing order of round-trip time of route request and route reply packets and distributes the data packets over these paths using the Fibonacci sequence numbers. The route that requires a little round-trip time, is used more frequently than the other paths. The performance comparison is performed for the proposed routing protocol with respect to Ad Hoc On-demand Distance Vector (AODV), Linear Multiple-path routing protocol (Linear) and FMLB routing protocols using GloMoSim Simulator 2.03. The results show that the Congestion-aware FMLB routing protocol has achieved a better packet delivery ratio, up to 141 % as compared to AODV, 109 % as compared to Linear and up to 65 % over the FMLB routing protocols. The results also show the improvement of end–end delay and normalized MAC overhead of the proposed routing protocols with respect to existing routing protocols.
Mohd Naseem; Chiranjeev Kumar. Congestion-Aware Fibonacci Sequence Based Multipath Load Balancing Routing Protocol for MANETs. Wireless Personal Communications 2015, 84, 2955 -2974.
AMA StyleMohd Naseem, Chiranjeev Kumar. Congestion-Aware Fibonacci Sequence Based Multipath Load Balancing Routing Protocol for MANETs. Wireless Personal Communications. 2015; 84 (4):2955-2974.
Chicago/Turabian StyleMohd Naseem; Chiranjeev Kumar. 2015. "Congestion-Aware Fibonacci Sequence Based Multipath Load Balancing Routing Protocol for MANETs." Wireless Personal Communications 84, no. 4: 2955-2974.
A mobile ad hoc network is a collection of set of mobile nodes capable of communication with each other without the assistance of any infrastructure. This paper presents a multi-path routing protocol that can efficiently provide QoS (Quality of Service) in mobile ad hoc network, which is, now days, the most important requirement for many real-time multimedia applications. The proposed on-demand routing protocol searches for a multi-path QoS routes from source node to the destination node, where QoS requirement is to search paths between source and destination node that can satisfy a certain bandwidth requirement. Through simulation, it has been shown that when the network bandwidth is limited, the proposed routing protocol offer a higher packet delivery ratio as compare to the single path routing protocol and when the network bandwidth is sufficient, the proposed routing protocol perform almost the same as the single path routing protocols.
Mohd Naseem; Chiranjeev Kumar. Distributed bandwidth guarantee using Multi-path routing protocol in Mobile ad hoc network. 2014 International Conference on Science Engineering and Management Research (ICSEMR) 2014, 1 -5.
AMA StyleMohd Naseem, Chiranjeev Kumar. Distributed bandwidth guarantee using Multi-path routing protocol in Mobile ad hoc network. 2014 International Conference on Science Engineering and Management Research (ICSEMR). 2014; ():1-5.
Chicago/Turabian StyleMohd Naseem; Chiranjeev Kumar. 2014. "Distributed bandwidth guarantee using Multi-path routing protocol in Mobile ad hoc network." 2014 International Conference on Science Engineering and Management Research (ICSEMR) , no. : 1-5.