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Distributed Rate Control and Power Control in Resource-constrained Wireless Sensor Networks

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2 Author(s)
Yang Song ; Wireless Networks Laboratory, Department of Electrical and Computer Engineering, University of Florida, Gainesville, Florida 32611. Email: ysong@ecel.ufl.edu ; Yuguang Fang

We consider the joint rate control and power control problem in wireless sensor networks. The resource constraints are incorporated in a cross layer optimization framework and a distributed algorithmic solution is proposed. We show that the join rate control and power control algorithm converges to the global optimum solution efficiently and effectively.

Published in:

Military Communications Conference, 2007. MILCOM 2007. IEEE

Date of Conference:

29-31 Oct. 2007

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