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Bio-Mimic Optimization Strategies in Wireless Sensor Networks: A Survey

For the past 20 years, many authors have focused their investigations on wireless sensor networks. Various issues related to wireless sensor networks such as energy minimization (optimization), compression schemes, self-organizing network algorithms, routing protocols, quality of service management,...

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Detalles Bibliográficos
Autores principales: Adnan, Md. Akhtaruzzaman, Razzaque, Mohammd Abdur, Ahmed, Ishtiaque, Isnin, Ismail Fauzi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3926559/
https://www.ncbi.nlm.nih.gov/pubmed/24368702
http://dx.doi.org/10.3390/s140100299
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author Adnan, Md. Akhtaruzzaman
Razzaque, Mohammd Abdur
Ahmed, Ishtiaque
Isnin, Ismail Fauzi
author_facet Adnan, Md. Akhtaruzzaman
Razzaque, Mohammd Abdur
Ahmed, Ishtiaque
Isnin, Ismail Fauzi
author_sort Adnan, Md. Akhtaruzzaman
collection PubMed
description For the past 20 years, many authors have focused their investigations on wireless sensor networks. Various issues related to wireless sensor networks such as energy minimization (optimization), compression schemes, self-organizing network algorithms, routing protocols, quality of service management, security, energy harvesting, etc., have been extensively explored. The three most important issues among these are energy efficiency, quality of service and security management. To get the best possible results in one or more of these issues in wireless sensor networks optimization is necessary. Furthermore, in number of applications (e.g., body area sensor networks, vehicular ad hoc networks) these issues might conflict and require a trade-off amongst them. Due to the high energy consumption and data processing requirements, the use of classical algorithms has historically been disregarded. In this context contemporary researchers started using bio-mimetic strategy-based optimization techniques in the field of wireless sensor networks. These techniques are diverse and involve many different optimization algorithms. As far as we know, most existing works tend to focus only on optimization of one specific issue of the three mentioned above. It is high time that these individual efforts are put into perspective and a more holistic view is taken. In this paper we take a step in that direction by presenting a survey of the literature in the area of wireless sensor network optimization concentrating especially on the three most widely used bio-mimetic algorithms, namely, particle swarm optimization, ant colony optimization and genetic algorithm. In addition, to stimulate new research and development interests in this field, open research issues, challenges and future research directions are highlighted.
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spelling pubmed-39265592014-02-18 Bio-Mimic Optimization Strategies in Wireless Sensor Networks: A Survey Adnan, Md. Akhtaruzzaman Razzaque, Mohammd Abdur Ahmed, Ishtiaque Isnin, Ismail Fauzi Sensors (Basel) Review For the past 20 years, many authors have focused their investigations on wireless sensor networks. Various issues related to wireless sensor networks such as energy minimization (optimization), compression schemes, self-organizing network algorithms, routing protocols, quality of service management, security, energy harvesting, etc., have been extensively explored. The three most important issues among these are energy efficiency, quality of service and security management. To get the best possible results in one or more of these issues in wireless sensor networks optimization is necessary. Furthermore, in number of applications (e.g., body area sensor networks, vehicular ad hoc networks) these issues might conflict and require a trade-off amongst them. Due to the high energy consumption and data processing requirements, the use of classical algorithms has historically been disregarded. In this context contemporary researchers started using bio-mimetic strategy-based optimization techniques in the field of wireless sensor networks. These techniques are diverse and involve many different optimization algorithms. As far as we know, most existing works tend to focus only on optimization of one specific issue of the three mentioned above. It is high time that these individual efforts are put into perspective and a more holistic view is taken. In this paper we take a step in that direction by presenting a survey of the literature in the area of wireless sensor network optimization concentrating especially on the three most widely used bio-mimetic algorithms, namely, particle swarm optimization, ant colony optimization and genetic algorithm. In addition, to stimulate new research and development interests in this field, open research issues, challenges and future research directions are highlighted. Molecular Diversity Preservation International (MDPI) 2013-12-24 /pmc/articles/PMC3926559/ /pubmed/24368702 http://dx.doi.org/10.3390/s140100299 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Review
Adnan, Md. Akhtaruzzaman
Razzaque, Mohammd Abdur
Ahmed, Ishtiaque
Isnin, Ismail Fauzi
Bio-Mimic Optimization Strategies in Wireless Sensor Networks: A Survey
title Bio-Mimic Optimization Strategies in Wireless Sensor Networks: A Survey
title_full Bio-Mimic Optimization Strategies in Wireless Sensor Networks: A Survey
title_fullStr Bio-Mimic Optimization Strategies in Wireless Sensor Networks: A Survey
title_full_unstemmed Bio-Mimic Optimization Strategies in Wireless Sensor Networks: A Survey
title_short Bio-Mimic Optimization Strategies in Wireless Sensor Networks: A Survey
title_sort bio-mimic optimization strategies in wireless sensor networks: a survey
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3926559/
https://www.ncbi.nlm.nih.gov/pubmed/24368702
http://dx.doi.org/10.3390/s140100299
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