Sensors 2009, 9(11), 8961-8995; doi:10.3390/s91108961
Article

Autonomous Distributed Self-Organization for Mobile Wireless Sensor Networks

Chih-Yu Wen* email and Hung-Kai Tangemail
Department of Electrical Engineering, Graduate Institute of Communication Engineering, National Chung Hsing University, Taichung 402, Taiwan
* Author to whom correspondence should be addressed.
Received: 9 June 2009; in revised form: 18 October 2009 / Accepted: 20 October 2009 / Published: 11 November 2009
(This article belongs to the Special Issue Sensor Configuration and Smart Sensors)
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Abstract: This paper presents an adaptive combined-metrics-based clustering scheme for mobile wireless sensor networks, which manages the mobile sensors by utilizing the hierarchical network structure and allocates network resources efficiently. A local criteria is used to help mobile sensors form a new cluster or join a current cluster. The messages transmitted during hierarchical clustering are applied to choose distributed gateways such that communication for adjacent clusters and distributed topology control can be achieved. In order to balance the load among clusters and govern the topology change, a cluster reformation scheme using localized criterions is implemented. The proposed scheme is simulated and analyzed to abstract the network behaviors in a number of settings. The experimental results show that the proposed algorithm provides efficient network topology management and achieves high scalability in mobile sensor networks.
Keywords: mobile wireless sensor networks; self-organization; topology control

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Cite This Article

MDPI and ACS Style

Wen, C.-Y.; Tang, H.-K. Autonomous Distributed Self-Organization for Mobile Wireless Sensor Networks. Sensors 2009, 9, 8961-8995.

AMA Style

Wen C-Y, Tang H-K. Autonomous Distributed Self-Organization for Mobile Wireless Sensor Networks. Sensors. 2009; 9(11):8961-8995.

Chicago/Turabian Style

Wen, Chih-Yu; Tang, Hung-Kai. 2009. "Autonomous Distributed Self-Organization for Mobile Wireless Sensor Networks." Sensors 9, no. 11: 8961-8995.

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