Ant Colony Optimization approaches in wireless sensor network: Performance evaluation

Husna Jamal Abdul Nasir, Ku Ruhana Ku-Mahamud, Eiji Kamioka

研究成果: ジャーナルへの寄稿Review article

  • 2 引用

抄録

Wireless Sensor Network (WSN) has been widely implemented in large sectors such as military, habitat, business, industrial, health and environment. WSN is part of a distributed system where elements such as routing, load balancing, energy efficiency, node localization, time synchronization, data aggregation and security need to be addressed to improve its efficiency, robustness, extendibility, applicability and reliability. Despite multiple approaches proposed to improve all these aspects, there is still room for improvement in order to enhance the capability of WSN in terms of routing and energy efficiency. Ant Colony Optimization (ACO) is one of the approaches used to extend WSN capabilities because its heuristic nature is verysuitable with distributed and dynamic environments. This study covers the common WSN aspects and performance evaluation criteria in addition to the list of previous studies that have used ACO approaches in WSN.

言語English
ページ153-164
Number of pages12
ジャーナルJournal of Computer Science
Volume13
6
DOIs
StatePublished - 2017 6 24

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Ant colony optimization
Network performance
Wireless sensor networks
Energy efficiency
Resource allocation
Synchronization
Agglomeration
Health
Industry

Keywords

    ASJC Scopus subject areas

    • Software
    • Computer Networks and Communications
    • Artificial Intelligence

    これを引用

    Ant Colony Optimization approaches in wireless sensor network : Performance evaluation. / Nasir, Husna Jamal Abdul; Ku-Mahamud, Ku Ruhana; Kamioka, Eiji.

    :: Journal of Computer Science, 巻 13, 番号 6, 24.06.2017, p. 153-164.

    研究成果: ジャーナルへの寄稿Review article

    Nasir, Husna Jamal Abdul ; Ku-Mahamud, Ku Ruhana ; Kamioka, Eiji. / Ant Colony Optimization approaches in wireless sensor network : Performance evaluation. :: Journal of Computer Science. 2017 ; 巻 13, 番号 6. pp. 153-164
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