Research Area:  Metaheuristic Computing

Abstract:

Wireless Sensor Network (WSN) comprises sensor nodes, and these nodes are generally battery-powered such that the batteries are not recharged because of their inaccessibility in the hostile environment. WSN is prone to node or link failure due to environmental hazards, like internal and interference faults in the sensor nodes. The link failure can result in network disconnection, so the data cannot get the path to Base Station or sink node. The link failure degrades the quality of the network in a hostile environment. To mitigate this issue and tolerate network failure, an effective Cluster Head (CH) selection mechanism is devised by the developed Taylor-Spotted Hyena Optimization (Taylor-SHO), which integrates the Taylor series with Spotted Hyena Optimization (SHO). The proposed approach is employed for the effective CH selection process using fitness measure depending on energy, distance, and delay. Then, the data routing is done by the modified k-Vertex Disjoint Path Routing (mod-kVDPR) algorithm, which is derived by modifying kVDPR using the parameters, such as link reliability and throughput. At last, the route maintenance is engaged to observe the delivery operation of data packets and report the link failure. The performance of the proposed method is analyzed using simulation network with 50 nodes and 10 nodes. Also, the proposed scheme is compared with Distributed Energy Efficient Heterogeneous Clustering approach, Grey Wolf Optimizer, Tabu particle swarm optimization, and Herding Optimization-Greedy conventional techniques. The proposed method has a delay of 0.00075 s., energy of 0.0018 J, the throughput of 5499 kbps for simulation network with 50 nodes; and has the delay of 0.0007 s., energy of 0.00089 J, and throughput of 7148.7 kbps for simulation network with 100 nodes.

Keywords:  
Wireless Sensor Network
sensor nodes
environmental hazards
Cluster Head
Taylor-Spotted Hyena Optimization
energy
distance
delay

Author(s) Name:  Shivaraj Sharanabasappa Kalburgi, M. Manimozhi

Publisher name:  Springer

DOI:  10.1007/s11042-022-12302-7

Volume Information:  volume 81, pages 15815–15839

Paper Link:   https://link.springer.com/article/10.1007/s11042-022-12302-7