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Energy-Efficient Clustering in Wireless Sensor Networks with Spatially Correlated Data

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3 Author(s)
Dabirmoghaddam, A. ; Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB, Canada ; Ghaderi, M. ; Williamson, C.

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.

Published in:

INFOCOM IEEE Conference on Computer Communications Workshops , 2010

Date of Conference:

15-19 March 2010