EloPSO: energy aware elephant swarm optimization for mobile adhoc networks

The high pace increase in wireless mobile communication based applications have made mobile Adhoc Network (MANET)an essential communication paradigm to ensure Quality of Service (QoS) provisioning. MANET characterizes itself with its decentralized network establishment nature and architectural dynam...

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Main Authors:	Khan , Burhan ul Islam, Olanrewaju, Rashidah Funke, Ali, Nor'ashikin, Shah , Asadullah
Format:	Article
Language:	English
Published:	penseejournal.com 2014
Subjects:	T10.5 Communication of technical information
Online Access:	http://irep.iium.edu.my/36581/ http://irep.iium.edu.my/36581/ http://irep.iium.edu.my/36581/1/penseepaper2014.pdf

id	iium-36581
recordtype	eprints
spelling	iium-365812017-06-15T04:29:41Z http://irep.iium.edu.my/36581/ EloPSO: energy aware elephant swarm optimization for mobile adhoc networks Khan , Burhan ul Islam Olanrewaju, Rashidah Funke Ali, Nor'ashikin Shah , Asadullah T10.5 Communication of technical information The high pace increase in wireless mobile communication based applications have made mobile Adhoc Network (MANET)an essential communication paradigm to ensure Quality of Service (QoS) provisioning. MANET characterizes itself with its decentralized network establishment nature and architectural dynamicity.The predominant QoS parameters in MANETs are end-to-end delay, network throughput, overheads, network life time and others. The mobility and the lack of optimum resource sharing mechanism cause the QoS degradation in MANETs. This lifespan of any node deployed in Adhoc network is in proportion with the associated level of components and functions. Data drop and successive data regression also cause the exhaustion on energy conservation, in this paper a hybrid cross layer MAC optimization scheme has been developed for MANETs real time applications. Specifically an optimization approach based on Elephant swarm behaviour named ElePSO has been projected to optimize the node life time and throughput. Asa CSMA/CA protocol is not effective for multhop data transmission, thus the Ele PSO scheme has been incorporated with TDMA-MAC to ensure energy aware communication. Simulation results show that the ElePSO out perform other bio-inspired optimization techniques like ( Particle Swarm Optimization) PSO and (Ant Colony Optimization) ACO. Results confirm that ElePSO exhibits higher active node while bearing lower communication overhead as compared to PSO and ACO. penseejournal.com 2014-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/36581/1/penseepaper2014.pdf Khan , Burhan ul Islam and Olanrewaju, Rashidah Funke and Ali, Nor'ashikin and Shah , Asadullah (2014) EloPSO: energy aware elephant swarm optimization for mobile adhoc networks. Pensee Journal, 7 (5). pp. 88-103. ISSN 0031-4773 http://www.penseejournal.com/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T10.5 Communication of technical information
spellingShingle	T10.5 Communication of technical information Khan , Burhan ul Islam Olanrewaju, Rashidah Funke Ali, Nor'ashikin Shah , Asadullah EloPSO: energy aware elephant swarm optimization for mobile adhoc networks
description	The high pace increase in wireless mobile communication based applications have made mobile Adhoc Network (MANET)an essential communication paradigm to ensure Quality of Service (QoS) provisioning. MANET characterizes itself with its decentralized network establishment nature and architectural dynamicity.The predominant QoS parameters in MANETs are end-to-end delay, network throughput, overheads, network life time and others. The mobility and the lack of optimum resource sharing mechanism cause the QoS degradation in MANETs. This lifespan of any node deployed in Adhoc network is in proportion with the associated level of components and functions. Data drop and successive data regression also cause the exhaustion on energy conservation, in this paper a hybrid cross layer MAC optimization scheme has been developed for MANETs real time applications. Specifically an optimization approach based on Elephant swarm behaviour named ElePSO has been projected to optimize the node life time and throughput. Asa CSMA/CA protocol is not effective for multhop data transmission, thus the Ele PSO scheme has been incorporated with TDMA-MAC to ensure energy aware communication. Simulation results show that the ElePSO out perform other bio-inspired optimization techniques like ( Particle Swarm Optimization) PSO and (Ant Colony Optimization) ACO. Results confirm that ElePSO exhibits higher active node while bearing lower communication overhead as compared to PSO and ACO.
format	Article
author	Khan , Burhan ul Islam Olanrewaju, Rashidah Funke Ali, Nor'ashikin Shah , Asadullah
author_facet	Khan , Burhan ul Islam Olanrewaju, Rashidah Funke Ali, Nor'ashikin Shah , Asadullah
author_sort	Khan , Burhan ul Islam
title	EloPSO: energy aware elephant swarm optimization for mobile adhoc networks
title_short	EloPSO: energy aware elephant swarm optimization for mobile adhoc networks
title_full	EloPSO: energy aware elephant swarm optimization for mobile adhoc networks
title_fullStr	EloPSO: energy aware elephant swarm optimization for mobile adhoc networks
title_full_unstemmed	EloPSO: energy aware elephant swarm optimization for mobile adhoc networks
title_sort	elopso: energy aware elephant swarm optimization for mobile adhoc networks
publisher	penseejournal.com
publishDate	2014
url	http://irep.iium.edu.my/36581/ http://irep.iium.edu.my/36581/ http://irep.iium.edu.my/36581/1/penseepaper2014.pdf
first_indexed	2023-09-18T20:52:23Z
last_indexed	2023-09-18T20:52:23Z
_version_	1777410080904314880

EloPSO: energy aware elephant swarm optimization for mobile adhoc networks

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