The Characteristics of Metaheuristic Method in Selection of Path Pairs on Multicriteria Ad Hoc Networks

This research analyzes the metaheuristic methods, that is, ant colony optimization (ACO), genetic algorithm (GA), and particle swarm optimization (PSO), in the selection of path pairs on multicriteria ad hoc network. Multicriteria used are signal-to-noise ratio (SNR), load variance, and power consum...

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Main Authors: Nyoman Gunantara, I Dewa Nyoman Nurweda Putra
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Journal of Computer Networks and Communications
Online Access:http://dx.doi.org/10.1155/2019/7983583
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author Nyoman Gunantara
I Dewa Nyoman Nurweda Putra
author_facet Nyoman Gunantara
I Dewa Nyoman Nurweda Putra
author_sort Nyoman Gunantara
collection DOAJ
description This research analyzes the metaheuristic methods, that is, ant colony optimization (ACO), genetic algorithm (GA), and particle swarm optimization (PSO), in the selection of path pairs on multicriteria ad hoc network. Multicriteria used are signal-to-noise ratio (SNR), load variance, and power consumption. Analysis of the simulation result is done as follows: first, in terms of computing time, the ACO method takes the most time compared with GA and PSO methods. Second, in terms of multicriteria performance, i.e., the performance of SNR, load variance, and power consumption, the GA method shows the same value in each repetition. It is different from ACO and PSO that show varying values. Finally, the selection of the path pairs by the GA method indicates the pairs of the path that are always the same as by the ACO and PSO methods indicate those that vary.
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publishDate 2019-01-01
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series Journal of Computer Networks and Communications
spelling doaj-art-41a06c4f38f545ee802e9bbc63be101f2025-02-03T01:12:38ZengWileyJournal of Computer Networks and Communications2090-71412090-715X2019-01-01201910.1155/2019/79835837983583The Characteristics of Metaheuristic Method in Selection of Path Pairs on Multicriteria Ad Hoc NetworksNyoman Gunantara0I Dewa Nyoman Nurweda Putra1Department of Electrical Engineering, Universitas Udayana, Bali, IndonesiaDepartment of Marine Science, Universitas Udayana, Bali, IndonesiaThis research analyzes the metaheuristic methods, that is, ant colony optimization (ACO), genetic algorithm (GA), and particle swarm optimization (PSO), in the selection of path pairs on multicriteria ad hoc network. Multicriteria used are signal-to-noise ratio (SNR), load variance, and power consumption. Analysis of the simulation result is done as follows: first, in terms of computing time, the ACO method takes the most time compared with GA and PSO methods. Second, in terms of multicriteria performance, i.e., the performance of SNR, load variance, and power consumption, the GA method shows the same value in each repetition. It is different from ACO and PSO that show varying values. Finally, the selection of the path pairs by the GA method indicates the pairs of the path that are always the same as by the ACO and PSO methods indicate those that vary.http://dx.doi.org/10.1155/2019/7983583
spellingShingle Nyoman Gunantara
I Dewa Nyoman Nurweda Putra
The Characteristics of Metaheuristic Method in Selection of Path Pairs on Multicriteria Ad Hoc Networks
Journal of Computer Networks and Communications
title The Characteristics of Metaheuristic Method in Selection of Path Pairs on Multicriteria Ad Hoc Networks
title_full The Characteristics of Metaheuristic Method in Selection of Path Pairs on Multicriteria Ad Hoc Networks
title_fullStr The Characteristics of Metaheuristic Method in Selection of Path Pairs on Multicriteria Ad Hoc Networks
title_full_unstemmed The Characteristics of Metaheuristic Method in Selection of Path Pairs on Multicriteria Ad Hoc Networks
title_short The Characteristics of Metaheuristic Method in Selection of Path Pairs on Multicriteria Ad Hoc Networks
title_sort characteristics of metaheuristic method in selection of path pairs on multicriteria ad hoc networks
url http://dx.doi.org/10.1155/2019/7983583
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