DocumentCode :
3228688
Title :
The Upper Bound of the Number of Nodes on Fixed Energy Budget in Wireless Sensor Networks
Author :
Wang, Fang ; Teng, Guifa ; Ren, Lisheng
Author_Institution :
Univ. of Hebei Agric., Hebei
Volume :
3
fYear :
2007
fDate :
July 30 2007-Aug. 1 2007
Firstpage :
115
Lastpage :
118
Abstract :
Wireless sensor networks are consist of large number of embedded devices that are each capable of sensing, communicating, and computing. Sensor networks have a wide variety of applications in both military and civil environment (Akyildiz et al., 2002). Most sensors are equipped with non-rechargeable batteries that have limited lifetime (Wang and Xiao, 2006). Sensor nodes monitor some surrounding environmental phenomenon, process the data obtained and forward this data towards a base station located on the periphery of the sensor network. Base station(s) collect the data from the sensor nodes and transmit this data to some remote control station. Sensor network models considered by most researchers have a single static base station located on the periphery of the sensor network (Pottie, 1998). Following development of technology, the number of the nodes would increase highly. The upper bound of the number of the nodes becoming more and more important. In this work, we develop closed-form expressions of the upper bound of the number of nodes in energy-efficient wireless sensor networks.
Keywords :
embedded systems; power aware computing; wireless sensor networks; civil environment; embedded devices; fixed energy budget; military environment; wireless sensor networks; Base stations; Batteries; Closed-form solution; Computer networks; Embedded computing; Military computing; Remote monitoring; Sensor phenomena and characterization; Upper bound; 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.2007.349
Filename :
4287834
Link To Document :
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