SALP Swarm Optimization Approach for Maximization The Lifetime of Wireless Sensor Network 
Mohammed M. Ahmed
Mohammed M. Ahmed, Faculty of Computers and Artifcial Intelligence, University of Sadat City, Egypt.
Manuscript received on 15 March 2021 | Revised Manuscript received on 22 March 2021 | Manuscript Accepted on 15 April 2021 | Manuscript published on 30 April 2021 | PP: 16-20 | Volume-1 Issue-2, April 2021 | Retrieval Number: 100.1/ijdcn.B5006021221 | DOI: 10.54105/ijdcn.B5006.041221
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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In recent years, the maximization of a lifetime for wireless sensor networks is considered an important area for researchers. The wireless sensor networks (WSNs) contain two types of sensors that called sensor nodes and sink nodes which sensor node send information to the central node (sink node) that collected its data. Choosing the best location of sink node considered the critical problem that faces the lifetime of wireless sensor networks. In this paper, we propose a method that choosing best location of a sink node by applying Salp Swarm Algorithm (SSA) after determining sink node location we create transmission paths between the sink node and rest of nodes using Prim’s minimum spanning tree to choose shortest paths. Accordingly, for fitness function that used to decrease energy consumption for a network. Simulation results clarify that our proposed algorithm that solves localization of sink node presents the best results for prolonging the network’s lifetime compared to Cat Swarm Optimization algorithm (CSA) and Particle Swarm Optimization (PSO).
Keywords: Wireless sensor networks (WSNs), sink node placement, Salp swarm algorithm (SSA).
Scope of the Article: Network Protocols