DocumentCode :
2264814
Title :
Energy-efficient and fault-tolerant resolution of topographic queries in networked sensor systems
Author :
Singh, Mitali ; Prasanna, Viktor K.
Author_Institution :
Dept. of Comput. Sci., Southern California Univ., Los Angeles, CA
Volume :
1
fYear :
0
fDate :
0-0 0
Abstract :
This paper focuses on energy-efficient and fault-tolerant resolution of topographic queries in dense, uniformly deployed, two-dimensional sensor systems. Our approach is based on construction of the topographic map of user-defined features in the network. Once constructed, the map is used to resolve a large number of topographic queries efficiently. We present a distributed algorithm for construction and maintenance of the topographic map in presence of node failures and discuss resolution of topographic queries using the map. Our results show that our algorithm incurs 90% lesser time and 50% lower energy overheads on the average, and recovers more reliably from node failures in the network than the state-of-the-art
Keywords :
distributed algorithms; fault tolerant computing; graph theory; query processing; wireless sensor networks; distributed algorithm; fault-tolerant resolution; networked sensor systems; topographic map; topographic query; Acoustic sensors; Computer networks; Data mining; Energy efficiency; Energy resolution; Fault tolerant systems; Intelligent networks; Maintenance; Sensor systems; Temperature sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Systems, 2006. ICPADS 2006. 12th International Conference on
Conference_Location :
Minneapolis, MN
ISSN :
1521-9097
Print_ISBN :
0-7695-2612-8
Type :
conf
DOI :
10.1109/ICPADS.2006.43
Filename :
1655672
Link To Document :
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