A Novel Fuzzy Enhanced Black Widow Spider Optimization for Energy Efficient Cluster Communication by Optimal Cluster Head Selection in WSN
Vijitha Devi P, K Kavitha · International Journal of Electrical and Electronics Engineering · 2022
Wireless sensor networks' substantial growth and momentous potential have expanded their application in realworld scenarios. However, the energy-constrained characteristics of sensor nodes create various network functioning issues. To deal with such shortcomings, the energy efficient clustering approach is required. The clustering method is the most significant and effective technique for optimising sensor nodes. Although numerous clustering approaches for determining ideal CH in the network area exist, it requires effective solutions to enhance wireless network performance. Therefore, this paper develops a novel Fuzzy Enhanced Black Widow Spider (FEBWS) method that promotes effective Communication between inter and intra clusters by optimal selection of cluster heads. The most-optimal cluster head is selected from the cluster groups by the proposed FEBWS algorithm uses the fuzzy logic system with an improved black widow spider optimisation algorithm considering energy, delay, and distance parameters. The efficiency of the proposed FEBWS algorithm is investigated by relating its performance with the existing techniques. The proposed FEBWS algorithm achieves an enhanced performance rate, especially less energy consumption and high network lifetime, than other state-of-the-art techniques.