DocumentCode :
1499956
Title :
Coordinated Locomotion and Monitoring Using Autonomous Mobile Sensor Nodes
Author :
Yoon, Seokhoon ; Soysal, Onur ; Demirbas, Murat ; Qiao, Chunming
Author_Institution :
Sch. of Electr. Eng., Univ. of Ulsan, Ulsan, South Korea
Volume :
22
Issue :
10
fYear :
2011
Firstpage :
1742
Lastpage :
1756
Abstract :
Stationary wireless sensor networks (WSNs) fail to scale when the area to be monitored is unbounded and the physical phenomenon to be monitored may migrate through a large region. Deploying mobile sensor networks (MSNs) alleviates this problem, as the self-configuring MSN can relocate to follow the phenomenon of interest. However, a major challenge here is to maximize the sensing coverage in an unknown, noisy, and dynamically changing environment with nodes having limited sensing range and energy, and moving under distributed control. To address these challenges, we propose a new distributed algorithm, Causataxis, which enables the MSN to relocate toward the interesting regions and adjust its shape and position as the sensing environment changes. (In Latin, causa means motive/interest. A taxis (plural taxes) is an innate behavioral response by an organism to a directional stimulus. We use Causataxis to refer to an interest driven relocation behavior.) Unlike conventional cluster-based systems with backbone networks, a unique feature of our proposed approach is its biosystem inspired growing and rotting behaviors with coordinated locomotion. We compare Causataxis with a swarm-based algorithm, which uses the concept of virtual spring forces to relocate mobile nodes based on local neighborhood information. Our simulation results show that Causataxis outperforms the swarm-based algorithm in terms of the sensing coverage, the energy consumption, and the noise tolerance with a slightly high communication overhead.
Keywords :
mobile robots; monitoring; sensors; wireless sensor networks; Causataxis; autonomous mobile sensor node; backbone networks; biosystem; cluster-based system; coordinated locomotion; directional stimulus; distributed algorithm; innate behavioral response; local neighborhood information; mobile sensor networks; monitoring; stationary wireless sensor networks; swarm-based algorithm; virtual spring; Mobile communication; Mobile computing; Monitoring; Recruitment; Robot sensing systems; Wireless sensor networks; Mobile sensor networks; coordination of robotic sensors; swarm.;
fLanguage :
English
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9219
Type :
jour
DOI :
10.1109/TPDS.2011.133
Filename :
5753888
Link To Document :
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