Territorial Marking for Improved Area Coverage in Anti-Flocking-Controlled Mobile Sensor Networks

Ganganath, N, Yuan, W, Cheng, C, Fernando, T and Iu, H 2018, 'Territorial Marking for Improved Area Coverage in Anti-Flocking-Controlled Mobile Sensor Networks', in 2018 IEEE International Symposium on Circuits and Systems, (ISCAS 2018), Florence, Italy, 27-30 May 2018, pp. 1-4.


Document type: Conference Paper
Collection: Conference Papers

Title Territorial Marking for Improved Area Coverage in Anti-Flocking-Controlled Mobile Sensor Networks
Author(s) Ganganath, N
Yuan, W
Cheng, C
Fernando, T
Iu, H
Year 2018
Conference name 2018 IEEE International Symposium on Circuits and Systems (ISCAS)
Conference location Florence, Italy
Conference dates 27-30 May 2018
Proceedings title 2018 IEEE International Symposium on Circuits and Systems, (ISCAS 2018)
Publisher IEEE
Place of publication United States
Start page 1
End page 4
Total pages 4
Abstract Recently proposed distributed anti-flocking algorithms have enabled mobile sensor networks (MSNs) to deliver impressive area coverage performances. However, due to lack of information about each other's traverse history, mobile sensor nodes tend to travel extra distances to achieve 100% cumulative area coverage. Inspired by the territorial marking behaviour of solitary animals, this paper proposes a new information map and map updating methods for anti-flocking controlled MSNs. The proposed territorial marking anti-flocking control enables MSNs to achieve improved area coverage performances by encouraging nodes to remain in a part of the terrain. According to the results provided in this paper, the proposed algorithm can be more energy efficient for MSNs in continues monitoring applications.
Subjects Control Systems, Robotics and Automation
Circuits and Systems
Manufacturing Robotics and Mechatronics (excl. Automotive Mechatronics)
Keyword(s) Mobile sensor networks
territorial marking
anti-flocking
area coverage
distributed control
DOI - identifier 10.1109/ISCAS.2018.8351500
Copyright notice © 2018 IEEE
ISBN 9781538648810
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 2 Abstract Views  -  Detailed Statistics
Created: Thu, 21 Feb 2019, 12:10:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us