Adaptive multi-target tracking in heterogeneous wireless sensor networks
Abstract
Energy efficient multiple-target tracking
is an important application of Wireless Sensor Networks
(WSNs). Most prior studies consider tracking multiple tar-
gets as an extension of executing a single target tracking
algorithm multiple times, and use a single parameter for
energy efficiency. We consider various factors such as mul-
tiple targets tracked by the sensor, remaining energy of the
sensor and relative location of the sensor with respect to a
target's motion, in order to decide the tracking state of a
sensor in a distributed environment. Further, we explore
and identify the effective combination of these parameters
to optimize energy usage, depending on specific network
conditions. We then propose the Adaptive Multi-Target
Tracking (AMTT) algorithm that can recognize the network
condition based on local information without centralized
coordination, and uses effective parameters to achieve en-
ergy efficiency.
Citation
The Society for Design and Process Science Conference (SDPS), Jeju Island, Korea
June 2011