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Divisible Load Scheduling inWireless Sensor Networks with Information Utility

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2 Author(s)
Kijeung Choi ; Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, New York, ; Thomas G. Robertazzi

Optimal data scheduling strategies in a hierarchical wireless sensor network (WSN) are considered. Data aggregation in clusterheads is considered to find a closed form solution for the optimal amount of data that is to be reported by each sensor node using a newly introduced parameter, information utility. The optimal conditions for the feasible measurement instruction assignment time and for the minimum round time are derived and examined. Based on the optimal conditions, a performance evaluation is demonstrated via simulation study.

Published in:

2008 IEEE International Performance, Computing and Communications Conference

Date of Conference:

7-9 Dec. 2008