Self-healing sensor networks with distributed decision making

Authors:
Xiaojiang (James) Du;Ming Zhang;Kendall E. Nygard;Sghaier Guizani;Hsiao-Hwa Chen
Affiliations:
Department of Computer Science, North Dakota State University, Fargo ND 58105, USA.;Department of Computer Science, North Dakota State University, Fargo ND 58105, USA.;Department of Computer Science, North Dakota State University, Fargo ND 58105, USA.;Department of Electrical Engineering, University of Quebec, Trois-Riviere, QC, Canada.;Institute of Communications Engineering, National Sun Yat-Sen University, Kaohsiung City, Taiwan
Venue:
International Journal of Sensor Networks
Year:
2007

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Abstract

Sensor random locations and sensor failures can cause coverage holes, routing voids and disconnections and thus degrade sensor network performance. In this paper, we present a self-healing approach that utilises a few mobile sensors to deal with the problems. A mobile sensor can move to an area with a coverage hole or routing void and significantly improve network performance. We design distributed algorithms to detect coverage holes, estimate hole size and repair holes. A mobile sensor may receive multiple repair requests from different areas and it may not have complete information of the network. We present a fuzzy-logic-based distributed decision-making algorithm for mobile sensors. Extensive simulations demonstrate the good performance of proposed algorithms.