Open AccessSALP Swarm Optimization Approach for Maximization The Lifetime of Wireless Sensor Network
Author(s) -
Mohammed M. Ahmed
Publication year - 2021
Publication title -
indian journal of data communication and networking (ijdcn)
Language(s) - English
Resource type - Journals
ISSN - 2582-760X
DOI - 10.54105/ijdcn.b5006.041221
Subject(s) - wireless sensor network , sink (geography) , particle swarm optimization , computer science , maximization , fitness function , computer network , key distribution in wireless sensor networks , swarm behaviour , sensor node , distributed computing , real time computing , wireless , mathematical optimization , wireless network , algorithm , mathematics , artificial intelligence , geography , telecommunications , genetic algorithm , machine learning , cartography
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).