Multi-Objective Cross-Layer Optimization for Selection of Cooperative Path Pairs in Multihop Wireless Ad hoc Networks

This paper focuses in the selection of an optimal path pair for cooperative diversity based on cross-layer optimization in multihop wireless ad hoc networks. Cross-layer performance indicators, including power consumption, signal-to-noise ratio, and load variance are optimized using multi-objective...

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Main Authors: Nyoman Gunantara, Gamantyo Hendrantoro
Format: Article
Language:English
Published: Croatian Communications and Information Society (CCIS) 2013-09-01
Series:Journal of Communications Software and Systems
Subjects:
Online Access:https://jcomss.fesb.unist.hr/index.php/jcomss/article/view/146
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spelling doaj-8a456d00746e409a8db13ebd3e112f4e2020-11-24T22:24:06ZengCroatian Communications and Information Society (CCIS)Journal of Communications Software and Systems1845-64211846-60792013-09-0193170177Multi-Objective Cross-Layer Optimization for Selection of Cooperative Path Pairs in Multihop Wireless Ad hoc NetworksNyoman GunantaraGamantyo HendrantoroThis paper focuses in the selection of an optimal path pair for cooperative diversity based on cross-layer optimization in multihop wireless ad hoc networks. Cross-layer performance indicators, including power consumption, signal-to-noise ratio, and load variance are optimized using multi-objective optimization (MOO) with Pareto method. Consequently, optimization can be performed simultaneously to obtain a compromise among three resources over all possible path pairs. The Pareto method is further compared to the scalarization method in achieving fairness to each resource. We examine the statistics of power consumption, SNR, and load variance for both methods through simulations. In addition, the complexity of the optimization of both methods is evaluated based on the required computing time.https://jcomss.fesb.unist.hr/index.php/jcomss/article/view/146multi-objective optimizationPareto methodscalarization methodselection of the path pairmultihop wireless ad hoc networks
collection DOAJ
language English
format Article
sources DOAJ
author Nyoman Gunantara
Gamantyo Hendrantoro
spellingShingle Nyoman Gunantara
Gamantyo Hendrantoro
Multi-Objective Cross-Layer Optimization for Selection of Cooperative Path Pairs in Multihop Wireless Ad hoc Networks
Journal of Communications Software and Systems
multi-objective optimization
Pareto method
scalarization method
selection of the path pair
multihop wireless ad hoc networks
author_facet Nyoman Gunantara
Gamantyo Hendrantoro
author_sort Nyoman Gunantara
title Multi-Objective Cross-Layer Optimization for Selection of Cooperative Path Pairs in Multihop Wireless Ad hoc Networks
title_short Multi-Objective Cross-Layer Optimization for Selection of Cooperative Path Pairs in Multihop Wireless Ad hoc Networks
title_full Multi-Objective Cross-Layer Optimization for Selection of Cooperative Path Pairs in Multihop Wireless Ad hoc Networks
title_fullStr Multi-Objective Cross-Layer Optimization for Selection of Cooperative Path Pairs in Multihop Wireless Ad hoc Networks
title_full_unstemmed Multi-Objective Cross-Layer Optimization for Selection of Cooperative Path Pairs in Multihop Wireless Ad hoc Networks
title_sort multi-objective cross-layer optimization for selection of cooperative path pairs in multihop wireless ad hoc networks
publisher Croatian Communications and Information Society (CCIS)
series Journal of Communications Software and Systems
issn 1845-6421
1846-6079
publishDate 2013-09-01
description This paper focuses in the selection of an optimal path pair for cooperative diversity based on cross-layer optimization in multihop wireless ad hoc networks. Cross-layer performance indicators, including power consumption, signal-to-noise ratio, and load variance are optimized using multi-objective optimization (MOO) with Pareto method. Consequently, optimization can be performed simultaneously to obtain a compromise among three resources over all possible path pairs. The Pareto method is further compared to the scalarization method in achieving fairness to each resource. We examine the statistics of power consumption, SNR, and load variance for both methods through simulations. In addition, the complexity of the optimization of both methods is evaluated based on the required computing time.
topic multi-objective optimization
Pareto method
scalarization method
selection of the path pair
multihop wireless ad hoc networks
url https://jcomss.fesb.unist.hr/index.php/jcomss/article/view/146
work_keys_str_mv AT nyomangunantara multiobjectivecrosslayeroptimizationforselectionofcooperativepathpairsinmultihopwirelessadhocnetworks
AT gamantyohendrantoro multiobjectivecrosslayeroptimizationforselectionofcooperativepathpairsinmultihopwirelessadhocnetworks
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