Energy efficient multi-target tracking in heterogeneous wireless sensor networks
Abstract
Tracking multiple targets in an energy efficient way is an important challenge in wireless
sensor networks (WSNs). While most of the prior work consider tracking multiple targets as
execution of single target tracking algorithms multiple times and utilize only single
parameters for efficient energy consumption, we identify multiple parameters that can
influence the energy efficiency of sensors in the WSN. We observe that there are several
impacting parameters that can affect the energy efficiency of the sensors in the WSN which
are: the relative location of the sensor with respect to the target's motion, multiple targets
tracked by the sensor, and the remaining energy in the sensor. These impacting parameters
are used to decide the tracking state of the sensors and further, our observations reveal the
implications of combining these parameters and we identify that the optimal energy
consumption is governed by their usage in particular network conditions. Based on these
observations we proceed to propose our Adaptive Multi-Target Tracking (AMTT) algorithm
that can identify the local network conditions for individual sensors in distributed
environment without any centralized co-ordination, and uses required combination of
impacting parameters to achieve energy efficiency.
Table of Contents
Introduction -- Related work -- Proposed multi-target tracking system -- Simulation setup and results -- Conclusions and future work
Degree
M.S.