Semi-flocking-controlled mobile sensor networks for dynamic area coverage and multiple target tracking

Wanmai Yuan, Nuwan Ganganath, Chi Tsun Cheng, Guo Qing, Francis C.M. Lau

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)

Abstract

Mobile sensor networks (MSNs) can provide sensing coverage to large areas of interest. Area coverage and target tracking capabilities of MSNs are heavily depending on their motion control and coordination mechanisms. Many existing MSN motion control algorithms ignore or poorly utilize the available information from their operating environment, thus lead to unsatisfactory monitoring performances. This paper proposes a fully distributed semi-flocking algorithm which enables mobile nodes to self-organize themselves based on mobility and sensing information via information exchanges among nearby nodes. A distributed mechanism is designed to maximize area coverage and target tracking performances of MSNs. Mobile nodes perform evaluations based on received information and switch between searching and tracking modes. Behaviors of MSNs controlled by the proposed algorithm are studied under different levels of information exchanges. Our study shows that the proposed semi-flocking algorithm is capable of delivering desirable area coverage and target tracking performances in MSNs.

Original languageEnglish
Article number8425063
Pages (from-to)8883-8892
Number of pages10
JournalIEEE Sensors Journal
Volume18
Issue number21
DOIs
Publication statusPublished - 1 Nov 2018

Keywords

  • information maps
  • mobile sensor networks
  • mobility sensing
  • multi-agent systems
  • Semi-flocking

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

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