Ant Colony Optimization approaches in wireless sensor network: Performance evaluation

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

Research output: Research - peer-reviewReview article

  • 2 Citations

Abstract

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.

LanguageEnglish
Pages153-164
Number of pages12
JournalJournal of Computer Science
Volume13
Issue number6
DOIs
StatePublished - 2017 Jun 24

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

Keywords

  • Ant Colony Optimization
  • Network aspects
  • Performance evaluation
  • Wireless sensor network

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Artificial Intelligence

Cite this

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

In: Journal of Computer Science, Vol. 13, No. 6, 24.06.2017, p. 153-164.

Research output: Research - peer-reviewReview article

Nasir, Husna Jamal Abdul ; Ku-Mahamud, Ku Ruhana ; Kamioka, Eiji. / Ant Colony Optimization approaches in wireless sensor network : Performance evaluation. In: Journal of Computer Science. 2017 ; Vol. 13, No. 6. pp. 153-164
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