Abstract
Due to the popularity gain in the wide research area in different field of application wireless sensor network (WSN) have been subject to deployed in the last decades.WSN due to use in harsh environment difficult to exchange batteries physically. For that reason Energy efficiency acts as a major factor to restoration of battery power in sensor network. The proposed algorithm prolong the lifetime of the sensor network by enhancing load distributions in the WSN.This work used the chain-based routing PEGASIS (Power Energy Gathering in sensor information system.) as basis. In this approach optimal path model Lion swarm and chicken swarm in PEGASIS based chain clustering (PEGA-LSCS) has been used. The optimal path is chosen by using Lion Swarm Optimization (LSO) and to reduce the energy consumption of the network the Enhanced Clustering approach is initiated using Chicken Swarm Optimization (CSO).As a result the noticeably improvement of lifetime in this approach has been showing. Other results like residual energy, packet delivery ratio and end to end delay are also considered.
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Patra, B. K., Mishra, S., & Patra, S. K. (2022). Energy-efficient PEGASIS Clustering based multipath routing with Lion Swarm and Chicken swarm optimization (PEGA-LSCS) for Wireless Sensor Network. Indian Journal of Computer Science and Engineering, 13(6), 1780–1796. https://doi.org/10.21817/indjcse/2022/v13i6/221306028
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