Decentralized Node Selection for Localization in Wireless Unattended Ground Sensor Networks

In this paper, we present a decentralized algorithm for node selection in unattended ground sensor networks when the goal is to minimize the localization error. The motivation behind this approach is that the sensing nodes can be better judges for the quality of their measurements than the central query node. The sensing nodes transmit their measurements to the query node when the information gain realized from their measurement surpasses a price set for transmission. The information gain is defined as the mutual information between the prior density of the target position and the measurement. The price can be set globally by the query node or locally by the sensing nodes.