Decentralized Positioning and Tracking for Wireless Sensor Networks
We have proposed several decentralized positioning and tracking schemes for
wireless sensor networks, where the target location is estimated through in-network
processing among local sensors. We employ an adaptive weighted interpolation method
(WIP) in which the sensors take weighted averages of their local estimates iteratively
based on the sensors¡¦ reliability with a different sensor performing the computations
of each iteration. The location estimate is circulated and updated among sensors in
the close-vicinity of the target with a message-passing method. Energy and bandwidth
efficiency is achieved since the system need not expend large amounts of resources in
transmitting the raw data to the central server.
Main achievements and outcomes
Research or technology outcomes
As far as we know, decentralized positioning and tracking has
not been well investigated for wireless sensor networks. Our approaches are
promising for use in practical applications. Some preliminary results of our
works have been presented in ICC 2007, WCNC 2007, and VTC 2007-Spring.
A Distributed Localization Scheme for Wireless Sensor Networks with Improved Grid-Scan
and Vector-based Refinement
Localization is a fundamental and essential issue for WSNs. We present a fully
distributed range-free localization scheme for WSNs. We assume that only a few sensor
nodes, called anchors, know their locations, and the remaining (normal) nodes need to
estimate their own locations by gathering nearby neighboring information. We propose
an improved grid-scan algorithm to find the estimated locations of the normal nodes.
Furthermore, we derive a vector-based refinement scheme to improve the accuracy of the
estimated locations.
Main achievements and outcomes
Research or technology outcomes
A distributed range-free localization protocol is proposed in
this paper . This paper was accepted by the IEEE Trans. on Mobile Computing.
