Distributed Joint Optimal Control of Power and Rate with Clustered Routing Protocol in Wireless Sensor Networks

In clustered wireless sensor networks, to reduce the energy consumption and improve utility of network, it is proposed that cluster head is endowed with higher priority and a novel joint optimal model of power and rate is given. The distributed iterative algorithm is achieved by choosing the appropriate utility function, which is suit for variable separation and distributed computing. The dual decomposition method is adopted in the algorithm. Simulation results show that the joint optimal algorithm can prolong the lifetime of network and improve the comprehensive efficiency effectively.

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