This document discusses tracking a mobile target using a navigated mobile sensor in a wireless sensor network. It proposes using time of arrival measurements from both the target and sensor to estimate their locations and direct the sensor's movement. A min-max approximation approach is used to estimate locations, which is solved using semidefinite programming relaxation. A cubic function navigates the mobile sensor, and a weighted tracking algorithm further improves performance by making more efficient use of measurement information. Evaluation shows the algorithm provides good target tracking and quickly directs the mobile sensor to follow the target.

1. TARGET TRACKING AND MOBILE SENSOR NAVIGATION IN
WIRELESS SENSOR NETWORKS
ABSTRACT:
This work studies the problem of tracking signal-emitting mobile targets using navigated mobile
sensors based on signal reception. Since the mobile target’s maneuver is unknown, the mobile
sensor controller utilizes the measurement collected by a wireless sensor network in terms of the
mobile target signal’s time of arrival (TOA). The mobile sensor controller acquires the TOA
measurement information from both the mobile target and the mobile sensor for estimating their
locations before directing the mobile sensor’s movement to follow the target.
We propose a min-max approximation approach to estimate the location for tracking which can
be efficiently solved via semidefinite programming (SDP) relaxation, and apply a cubic function
for mobile sensor navigation. We estimate the location of the mobile sensor and target jointly to
improve the tracking accuracy. To further improve the system performance, we propose a
weighted tracking algorithm by using the measurement information more efficiently. Our results
demonstrate that the proposed algorithm provides good tracking performance and can quickly
direct the mobile sensor to follow the mobile target.
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