A Novel Hybrid Approach for Optimizing the Localization of Wireless Sensor Networks

A Novel Hybrid Approach for Optimizing the Localization of Wireless Sensor Networks

Wireless sensor networks are used for monitoring the environment and controlling the physical environment. Information gathered by the sensors is only useful if the positions of the sensors are known. One of the solutions for this problem is Global Positioning System (GPS). However, this approach is...

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Main Author: Lakhbab Halima
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201820000005
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spelling doaj-75a580b2afb84b978d8ac8daa341eb032021-02-02T06:30:51ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012000000510.1051/matecconf/201820000005matecconf_iwtsce2018_00005A Novel Hybrid Approach for Optimizing the Localization of Wireless Sensor NetworksLakhbab Halima0LIMSAD Laboratory, Faculty of Sciences Aïn Chock Casablanca, Hassan II UniversityWireless sensor networks are used for monitoring the environment and controlling the physical environment. Information gathered by the sensors is only useful if the positions of the sensors are known. One of the solutions for this problem is Global Positioning System (GPS). However, this approach is prohibitively costly; both in terms of hardware and power requirements. Localization is defined as finding the physical coordinates of a group of nodes. Localization is classified as an unconstrained optimization problem. In this work, we propose a new algorithm to tackle the problem of localization; the algorithm is based on a hybridization of Particle Swarm Optimization (PSO) and Simulated Annealing (SA). Simulation results are given to illustrate the robustness and efficiency of the presented algorithm.https://doi.org/10.1051/matecconf/201820000005
collection DOAJ
language English
format Article
sources DOAJ
author Lakhbab Halima
spellingShingle Lakhbab Halima
A Novel Hybrid Approach for Optimizing the Localization of Wireless Sensor Networks
MATEC Web of Conferences
author_facet Lakhbab Halima
author_sort Lakhbab Halima
title A Novel Hybrid Approach for Optimizing the Localization of Wireless Sensor Networks
title_short A Novel Hybrid Approach for Optimizing the Localization of Wireless Sensor Networks
title_full A Novel Hybrid Approach for Optimizing the Localization of Wireless Sensor Networks
title_fullStr A Novel Hybrid Approach for Optimizing the Localization of Wireless Sensor Networks
title_full_unstemmed A Novel Hybrid Approach for Optimizing the Localization of Wireless Sensor Networks
title_sort novel hybrid approach for optimizing the localization of wireless sensor networks
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description Wireless sensor networks are used for monitoring the environment and controlling the physical environment. Information gathered by the sensors is only useful if the positions of the sensors are known. One of the solutions for this problem is Global Positioning System (GPS). However, this approach is prohibitively costly; both in terms of hardware and power requirements. Localization is defined as finding the physical coordinates of a group of nodes. Localization is classified as an unconstrained optimization problem. In this work, we propose a new algorithm to tackle the problem of localization; the algorithm is based on a hybridization of Particle Swarm Optimization (PSO) and Simulated Annealing (SA). Simulation results are given to illustrate the robustness and efficiency of the presented algorithm.
url https://doi.org/10.1051/matecconf/201820000005
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AT lakhbabhalima novelhybridapproachforoptimizingthelocalizationofwirelesssensornetworks
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