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A misdirected route avoidance using random waypoint mobility model in wireless sensor network - 2021

A misdirected route avoidance using random waypoint mobility model in wireless sensor network

Research Area:  Wireless Sensor Networks


In this paper, a novel method is proposed to reduce the number of route misdirection to increase network throughput. This method increases the network throughput by accurately sending the packets from source node to destination node without any packet loss, which ensures Quality of Services (QoS) routing services. These metrics are used for making better routing decisions to avoid the packets being misrouted in the network. The proposed method operates under two phases: flow control and QoS routing phase. Wireless sensor network dynamically changes its topological structure since the path between source and destination nodes varies at the rapid instance of time. Hence, the flow control phase is used to adjust the packet flow through a proper link to reach its destination node. The flow control phase effectively designs an improved Random Waypoint Mobility model that utilizes three metrics for avoiding the packets being misdirected. In the second phase, the packets are routed through proper routes after avoiding the misdirected routes using an adaptive QoS routing protocol. This helps to increase the throughput of the network and this utilizes the three metrics for accurate identification of routes. The performance of the proposed method is evaluated the various metrics like network throughput (98.595 kbps), network lifetime (346 s) and delay (0.922 s). The proposed method is compared with existing QoS routing algorithms. The results show that the proposed method has improved its throughput level by reducing the total number of packets being misrouted in the network.


Author(s) Name:  P. Vijayalakshmi,K. Selvi,K. Gowsic,K. Muthumanickam

Journal name:  Wireless Networks

Conferrence name:  

Publisher name:  Springer

DOI:  10.1007/s11276-021-02703-1

Volume Information:  volume 27, pages 3845–3856 (2021)