NDLI: Landscape: a high performance distributed positioning scheme for outdoor sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Liqiang Zhang Qiang Cheng Yingge Wang Zeadally, S.
Copyright Year	2005
Abstract	In this work, we consider the sensor localization problem from a novel perspective by treating it as a functional dual of target tracking. In traditional tracking problems, static location-aware sensors track and predict the position/speed of a moving target. As a dual, we utilize a moving location-assistant (LA) (with global positioning system (GPS) or pre-defined moving path) to help location-unaware sensors to accurately discover their positions. We call our proposed system Landscape. In Landscape, an LA (an aircraft, for example) periodically broadcasts its current location while it moves around or through a sensor field. Each sensor collects the location beacons, measures the distance between itself and the LA based on received signal strength (RSS), and individually calculates their locations via an unscented Kalman filter (UKF) based algorithm. Our contributions are at least twofold. (1) Landscape is a distributed scheme, it does not rely on measured distances among neighbors (as used by most current proposals), which makes it robust to topology and density; Landscape involves zero sensor-to-sensor communication overhead, and is highly scalable to network size. (2) By introducing UKF in sensor localization problem, we reap multiple benefits: our UKF-based algorithm nicely exploits the constraints increasingly added by the beacons; it elegantly solves the nonlinear problem with low computation cost and complexity; and most importantly, it efficiently reduces the effects of measurement errors, making Landscape robust to ranging errors. Extensive simulations and evaluations against the state-of-the-art systems show that Landscape is a high-performance sensor positioning scheme for outdoor sensor networks.
Starting Page	430
Ending Page	437
File Size	385332
Page Count	8
File Format	PDF
ISBN	0780391810
DOI	10.1109/WIMOB.2005.1512934
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Density measurement Current measurement Broadcasting Size measurement Sensor systems Robustness Proposals Aircraft Global Positioning System
Content Type	Text
Resource Type	Article

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