Salp Swarm Algorithm for Node Localization in Wireless Sensor Networks

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ID: 10723
2019
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Abstract
Nodes localization in a wireless sensor network (WSN) aims for calculating the coordinates of unknown nodes with the assist of known nodes. The performance of a WSN can be greatly affected by the localization accuracy. In this paper, a node localization scheme is proposed based on a recent bioinspired algorithm called Salp Swarm Algorithm (SSA). The proposed algorithm is compared to well-known optimization algorithms, namely, particle swarm optimization (PSO), Butterfly optimization algorithm (BOA), firefly algorithm (FA), and grey wolf optimizer (GWO) under different WSN deployments. The simulation results show that the proposed localization algorithm is better than the other algorithms in terms of mean localization error, computing time, and the number of localized nodes.
Reference Key
m2019salpjournal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Kanoosh, Huthaifa M.;Houssein, Essam Halim;Selim, Mazen M.;Kanoosh, Huthaifa M.;Houssein, Essam Halim;Selim, Mazen M.;
Journal journal of computer networks and communications
Year 2019
DOI
10.1155/2019/1028723
URL
https://www.hindawi.com/journals/jcnc/2019/1028723/abs/
Keywords Keywords not found

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