DocumentCode
2848903
Title
Distributed Decision Making Algorithm for Self-Healing Sensor Networks
Author
Du, Xiaojiang ; Zhang, Ming ; Nygard, Kendall ; Guizani, Mohsen ; Chen, Hsiao-Hwa
Author_Institution
Dept. of Computer Science, North Dakota State University, Fargo, ND 58105. Xiaojiang.Du@ndsu.edu
Volume
8
fYear
2006
fDate
38869
Firstpage
3402
Lastpage
3407
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.
Keywords
Computer science; Costs; Distributed algorithms; Distributed computing; Distributed decision making; Fuzzy logic; Neodymium; Robustness; Routing; Sensor phenomena and characterization;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2006. ICC '06. IEEE International Conference on
Conference_Location
Istanbul
ISSN
8164-9547
Print_ISBN
1-4244-0355-3
Electronic_ISBN
8164-9547
Type
conf
DOI
10.1109/ICC.2006.255598
Filename
4024999
Link To Document