Abstract
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.
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