Semi-Flocking-Controlled Mobile Sensor Networks for Dynamic Area Coverage and Multiple Target Tracking

Yuan, W, Ganganath, N, Cheng, C, Qing, G and Lau, F 2018, 'Semi-Flocking-Controlled Mobile Sensor Networks for Dynamic Area Coverage and Multiple Target Tracking', IEEE Sensors Journal, vol. 18, no. 21, pp. 8883-8892.


Document type: Journal Article
Collection: Journal Articles

Title Semi-Flocking-Controlled Mobile Sensor Networks for Dynamic Area Coverage and Multiple Target Tracking
Author(s) Yuan, W
Ganganath, N
Cheng, C
Qing, G
Lau, F
Year 2018
Journal name IEEE Sensors Journal
Volume number 18
Issue number 21
Start page 8883
End page 8892
Total pages 10
Publisher Institute of Electrical and Electronics Engineers
Abstract IEEE Mobile sensor networks (MSNs) can provide sensing coverage to large areas of interest (AoIs). 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 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.
Subject Adaptive Agents and Intelligent Robotics
Keyword(s) Information maps
Mobile nodes
Mobile sensor networks
Mobility sensing
Monitoring
Multi-agent systems
Semi-flocking
Sensors
Switches
Target tracking
DOI - identifier 10.1109/JSEN.2018.2863051
Copyright notice © 2018 IEEE.
ISSN 1530-437X
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