Applying adaptive and self assessment fish migration optimization on localization of wireless sensor network on 3-D terrain

Qing Wei Chai, Shu Chuan Chu, Jeng Shyang Pan, Wei Min Zheng

Research output: Contribution to journalArticle

Abstract

This paper presents an improved fish migration optimization (FMO), which adopts novel update equations of individuals and energy. A chieftain concept is introduced and it can attract individuals to exploitation around it. Therefore, the novel algorithm reduced the randomness and improved the convergence ability of the original algorithm. A more flexible update equation of energy is introduced which adjusts the amplitude of energy increase of individuals according to its fitness quality. The performance of the new algorithm is verified by CEC 2013 benchmark function. Besides, the novel algorithm is applied in solving the localization problem of Wireless Sensor Network (WSN) on 3-D terrain.

Original languageEnglish
Pages (from-to)90-102
Number of pages13
JournalJournal of Information Hiding and Multimedia Signal Processing
Volume11
Issue number2
Publication statusPublished - Jun 2020
Externally publishedYes

Keywords

  • 3-D localization
  • DV-Hop
  • FMO
  • Intelligence computing

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