DocumentCode
466863
Title
Optimal Cluster-Cluster Design for Sensor Network with Guaranteed Capacity and Fault Tolerance
Author
Zeng, Bin ; Wei, Jun ; Hu, Tao
Author_Institution
Univ. of Naval Eng., Wuhan
Volume
1
fYear
2007
fDate
July 30 2007-Aug. 1 2007
Firstpage
288
Lastpage
293
Abstract
Sensor networks have recently gained a lot of attention from the research community. To ensure scalability sensor networks are often partitioned into clusters, each managed by a cluster head. Since sensors self organize in the form of clusters within a hierarchal wireless sensor network, it is necessary for a sensor node to perform target tracking cooperating with a set of sensors that belong to another cluster. The increased flexibility allows for efficient and optimized use of sensor nodes. While most of the previous research focused on the optimal communication of sensors in one cluster, very little attention has been paid to the efficiency of cooperation among the clusters. This paper proposes a heuristic algorithm of designing optimal structure across clusters to allow the inter-cluster flow of communication and resource sharing under reliability constraints. Such a guarantee simultaneously provides fault tolerance against node failures and high capacity through multi-path routing.
Keywords
fault tolerance; telecommunication network routing; wireless sensor networks; cluster-cluster design; communication intercluster flow; fault tolerance; guaranteed capacity; hierarchal wireless sensor network; multipath routing; resource sharing; target tracking; Algorithm design and analysis; Capacitive sensors; Clustering algorithms; Fault tolerance; Heuristic algorithms; Resource management; Routing; Scalability; Target tracking; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location
Qingdao
Print_ISBN
978-0-7695-2909-7
Type
conf
DOI
10.1109/SNPD.2007.225
Filename
4287519
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