Energy-Efficient Anti-Flocking Control for Mobile Sensor Networks on Uneven Terrains

Nuwan Ganganath, Wanmai Yuan, Tyrone Fernando, Herbert H.C. Iu, Chi Tsun Cheng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)

Abstract

Anti-flocking controlled mobile sensor networks (MSNs) have demonstrated impressive dynamic area coverage performances. Even though MSNs are often utilized in outdoor environments that consist of uneven terrains, existing anti-flocking control protocols are designed for flat terrain navigation. Thus, they tend to maneuver mobile sensory units along shortest paths between navigation goals in an area of interest. Even though navigating along shortest paths can be both time- and energy-efficient on flat terrains, such motions can often result in excessive energy consumptions on uneven terrains. This brief proposes an energy-efficient anti-flocking control protocol for MSNs based on a terrain adaptation force and a navigation goal selection method. The proposed control protocol encourages mobile sensory units to follow terrain contours whenever feasible. Test results show that the proposed control protocol is a promising energy-efficient solution for MSNs operating on uneven terrains.

Original languageEnglish
Article number8329992
Pages (from-to)2022-2026
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Volume65
Issue number12
DOIs
Publication statusPublished - Dec 2018

Keywords

  • Anti-flocking
  • distributed motion control
  • energy-efficient
  • mobile sensor networks
  • uneven terrains

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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