Distributed decision making algorithm for self-healing sensor networks

Xiaojiang Du, Ming Zhang, Kendall Nygard, Mohsen Guizani, Hsiao Hwa Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

Sensor nodes are unreliable small devices with limited energy supply, and sensors may run out of power or fail over time. A sensor network should have self-healing capability to handle coverage holes, routing voids and disconnections caused by random sensor locations and sensor failures. To provide self-healing capabilities in sensor networks while keeping the cost low, we propose to deploy a small number of mobile sensors in addition to a large number of static sensors. A mobile sensor may receive multiple requests from different areas. In this paper, we present a distributed decision making algorithm based on fuzzy logic. The distributed algorithm has low computation requirement and is robust to incomplete information. Our extensive simulations demonstrate the self-healing capabilities provided by mobile sensors, and the good performance of the distributed decision making algorithm.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Communications, ICC 2006
Pages3402-3407
Number of pages6
DOIs
StatePublished - 2006
Event2006 IEEE International Conference on Communications, ICC 2006 - Istanbul, Turkey
Duration: 11 Jul 200615 Jul 2006

Publication series

NameIEEE International Conference on Communications
Volume8
ISSN (Print)0536-1486

Conference

Conference2006 IEEE International Conference on Communications, ICC 2006
Country/TerritoryTurkey
CityIstanbul
Period11/07/0615/07/06

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