DocumentCode :
2959722
Title :
Maintaining Stable Node Populations in Long-Lifetime Sensornets
Author :
Tate, Jonathan ; Bate, Iain
Author_Institution :
Dept. of Comput. Sci., Univ. of York, York, UK
fYear :
2010
fDate :
22-26 March 2010
Firstpage :
159
Lastpage :
168
Abstract :
Sensornets provide coverage of physical phenomena over extended periods, perhaps months or years. However, active nodes may deplete finite batteries within days, and are prone to failure. The sensornet application may require a given number of active nodes within each region to provide appropriate sensor redundancy and processing capacity. If many nodes are deployed, at any given time a smaller working set of the correct size can be selected for duty. In this paper we present a lightweight approach to active population management. An omniscient overview of network state is not required, and expensive communication activity is minimised. Probabilistic methods are employed, ensuring that individual nodes can make appropriate decisions using only locally available information.
Keywords :
sensor fusion; wireless sensor networks; active population management; long lifetime sensornets; stable node population; Peer to peer computing; Protocols; Redundancy; Silicon; Sleep; Synchronization; Wireless communication; energy; population management; probabilistic methods; sensornets; state management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering of Complex Computer Systems (ICECCS), 2010 15th IEEE International Conference on
Conference_Location :
Oxford
Print_ISBN :
978-1-4244-6638-2
Electronic_ISBN :
978-1-4244-6639-9
Type :
conf
DOI :
10.1109/ICECCS.2010.36
Filename :
5628616
Link To Document :
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