Cooperative and Distributed Localization for Wireless Sensor Networks in Multipath Environments

TL;DR

This paper introduces a scalable, low-overhead distributed belief propagation algorithm for sensor localization in multipath wireless environments, enabling sensors to cooperatively self-localize with high accuracy.

Contribution

It presents a novel distributed localization method using belief propagation that works effectively in loopy networks with multipath effects.

Findings

Algorithm converges despite network loops

Achieves high localization accuracy

Low communication overhead

Abstract

We consider the problem of sensor localization in a wireless network in a multipath environment, where time and angle of arrival information are available at each sensor. We propose a distributed algorithm based on belief propagation, which allows sensors to cooperatively self-localize with respect to one single anchor in a multihop network. The algorithm has low overhead and is scalable. Simulations show that although the network is loopy, the proposed algorithm converges, and achieves good localization accuracy.