Title :
Energy-Efficient Clustering in Wireless Sensor Networks with Spatially Correlated Data
Author :
Dabirmoghaddam, Ali ; Ghaderi, Majid ; Williamson, Carey
Author_Institution :
Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB, Canada
Abstract :
In this paper, we show how spatial correlation in data can be exploited to reduce energy consumption in a wireless sensor network. We analytically characterize the optimal cluster size, and then use a greedy clustering algorithm to study approximate solutions to the optimal data gathering problem.
Keywords :
pattern clustering; wireless sensor networks; energy consumption; energy-efficient clustering; greedy clustering algorithm; optimal cluster size; spatially correlated data; wireless sensor network; Clustering algorithms; Communications Society; Costs; Data communication; Energy consumption; Energy efficiency; Peer to peer computing; Temperature sensors; Transmitters; Wireless sensor networks;
Conference_Titel :
INFOCOM IEEE Conference on Computer Communications Workshops , 2010
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-6739-6
Electronic_ISBN :
978-1-4244-6739-6
DOI :
10.1109/INFCOMW.2010.5466686
