Consensus-based wireless tomography

Abstract

This paper, one in a series on new initiatives in wireless tomography, combines two areas: wireless communication and radio tomography. This paper discusses implementation of wireless tomography in a distributed architecture. Each sensor node in the wireless tomography system solves the local optimization problem to get the image and shares its own imaging result to all the other sensor nodes. The imaging results from all the sensor nodes will converge to the final image by iterations. Alternating direction method of multipliers (ADMM) will be explored in the paper to solve the consensus-based optimization. Consensus-based wireless tomography can distribute the computing workload among all the sensor nodes. The centralized computing engine is not needed. In this way, the wireless tomography system is scalable and robust with a large number of sensor nodes.