Distributed consensus based joint resource and routing optimization in wireless sensor networks

We consider distributed total transmit power minimization in single-sink data gathering wireless sensor network via joint optimization of routing and resource allocation with given source rates. There exists numerous decentralized cross-layer optimization algorithms derived via dual decomposition over the physical and network layer. We propose a consensus based distributed optimization algorithm which applies alternating direction method of multipliers to efficiently solve the problem with low message passing. Numerical examples illustrate how significantly faster the proposed algorithm converges as compared to the state of the art method based on dual decomposition.