ElePSO: energy aware elephant swarm optimization for Mobile Adhoc Network

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 dyna...

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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:
Online Access:http://irep.iium.edu.my/36536/
http://irep.iium.edu.my/36536/
http://irep.iium.edu.my/36536/1/ElePSO_Energy_Aware_Elephant_Swarm_Optimization_for_Mobile_Adhoc_Network.pdf
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spelling iium-365362018-06-12T03:17:02Z http://irep.iium.edu.my/36536/ ElePSO: energy aware elephant swarm optimization for Mobile Adhoc Network Khan, Burhan ul Islam Olanrewaju, Rashidah Funke Ali , Nor'ashikin Shah, Asadullah TA Engineering (General). Civil engineering (General) 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. The lifespan of any node deployed in Adhoc network is in proportion with the associated level of components and functions. Data drop and successive data regeneration also cause the exhaustion of energy in MANETs, resulting into reduced network lifetime. To achieve optimum resource sharing and energy conservation, in this paper a hybrid cross layered MAC optimization scheme has been developed for MANET’s real time applications. Specifically an optimization approach based on Elephant swarm behaviour named ElePSO has been proposed to optimize the node life time and throughput. As, CSMA/CA protocol is not effective for multihop data transmissions, so the proposed ElePSO scheme has been incorporated with TDMA-MAC to ensure energy aware communication. Simulation results show that the proposed ElePSO outperforms other bio-inspired optimization techniques like (Particle Swarm Optimization) PSO and (Ant Colony Optimization) ACO. ElePSO exhibits 73.56% higher active nodes as compared to PSO and while bearing36.6% lower communication overhead. Keywords: MANETs, Cross layering, PSO, ACO, TDMA-MAC, OLSR penseejournal.com 2014-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/36536/1/ElePSO_Energy_Aware_Elephant_Swarm_Optimization_for_Mobile_Adhoc_Network.pdf Khan, Burhan ul Islam and Olanrewaju, Rashidah Funke and Ali , Nor'ashikin and Shah, Asadullah (2014) ElePSO: energy aware elephant swarm optimization for Mobile Adhoc Network. Pensee Journal, 76 (5). xx-xx. ISSN 0031-4773 (In Press) 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 TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Khan, Burhan ul Islam
Olanrewaju, Rashidah Funke
Ali , Nor'ashikin
Shah, Asadullah
ElePSO: energy aware elephant swarm optimization for Mobile Adhoc Network
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. The lifespan of any node deployed in Adhoc network is in proportion with the associated level of components and functions. Data drop and successive data regeneration also cause the exhaustion of energy in MANETs, resulting into reduced network lifetime. To achieve optimum resource sharing and energy conservation, in this paper a hybrid cross layered MAC optimization scheme has been developed for MANET’s real time applications. Specifically an optimization approach based on Elephant swarm behaviour named ElePSO has been proposed to optimize the node life time and throughput. As, CSMA/CA protocol is not effective for multihop data transmissions, so the proposed ElePSO scheme has been incorporated with TDMA-MAC to ensure energy aware communication. Simulation results show that the proposed ElePSO outperforms other bio-inspired optimization techniques like (Particle Swarm Optimization) PSO and (Ant Colony Optimization) ACO. ElePSO exhibits 73.56% higher active nodes as compared to PSO and while bearing36.6% lower communication overhead. Keywords: MANETs, Cross layering, PSO, ACO, TDMA-MAC, OLSR
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 ElePSO: energy aware elephant swarm optimization for Mobile Adhoc Network
title_short ElePSO: energy aware elephant swarm optimization for Mobile Adhoc Network
title_full ElePSO: energy aware elephant swarm optimization for Mobile Adhoc Network
title_fullStr ElePSO: energy aware elephant swarm optimization for Mobile Adhoc Network
title_full_unstemmed ElePSO: energy aware elephant swarm optimization for Mobile Adhoc Network
title_sort elepso: energy aware elephant swarm optimization for mobile adhoc network
publisher penseejournal.com
publishDate 2014
url http://irep.iium.edu.my/36536/
http://irep.iium.edu.my/36536/
http://irep.iium.edu.my/36536/1/ElePSO_Energy_Aware_Elephant_Swarm_Optimization_for_Mobile_Adhoc_Network.pdf
first_indexed 2023-09-18T20:52:22Z
last_indexed 2023-09-18T20:52:22Z
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