A parallel WOA with two communication strategies applied in DV-Hop localization method

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

Research output: Contribution to journalArticlepeer-review

45 Citations (Scopus)
19 Downloads (Pure)


Wireless sensor network (WSN) can effectively help us monitor the surrounding environment and prevent the occurrence of some natural disasters earlier, but we can only get the information of the surrounding environment correctly if we know the locations of nodes. How to know the exact positions of nodes is a strict challenge in WSN. Intelligent computing algorithms have been developed in recent years. They easily solve complex optimization problems, especially for those that cannot be modeled mathematically. This paper proposes a novel algorithm, named parallel whale optimization algorithm (PWOA). It contains two information exchange strategies between groups, and it significantly enhances global search ability and population diversity of the original whale optimization algorithm (WOA). Also, the algorithm is adopted to optimize the localization of WSN. Twenty-three mathematical optimization functions are accustomed to verifying the efficiency and effectiveness of the novel approach. Compared with some existing intelligent computing algorithms, the proposed PWOA may reach better results.

Original languageEnglish
Article number50
Number of pages10
JournalEURASIP Journal on Wireless Communications and Networking
Issue number1
Publication statusPublished - 26 Feb 2020

Bibliographical note

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.


  • Parallel
  • WOA
  • Communication Strategy
  • DV-Hop
  • Communication strategy


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