A Novel Distributed Sensor Positioning System Using the Dual of Target Tracking

As one of the fundamental issues in wireless sensor networks (WSNs), the sensor localization problem has recently received extensive attention. In this work, we investigate this problem from a novel perspective by treating it as a functional dual of target tracking. In traditional tracking problems,...

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Vydané v:	IEEE transactions on computers Ročník 57; číslo 2; s. 246 - 260
Hlavní autori:	Liqiang Zhang, Qiang Cheng, Yingge Wang, Zeadally, S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.02.2008 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Aircraft Algorithm/protocol design and analysis Antenna measurements Beacons Computer simulation Electronic mail Estimation Global Positioning System Landscapes Networks Position (location) Robot sensing systems Satellite navigation systems Sensor networks Sensors Studies Target tracking Time measurement Wireless Wireless sensor networks Wireless Sensor networks Algorithm/protocol design and analysis
ISSN:	0018-9340, 1557-9956
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Abstract	As one of the fundamental issues in wireless sensor networks (WSNs), the sensor localization problem has recently received extensive attention. In this work, we investigate this 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 and/or velocity of a moving target. As a dual, we utilize a moving location assistant (LA) (with a global positioning system (GPS) or a predefined 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 (we call it a beacon) 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 the received signal strength (RSS), and individually calculates their locations via an Unscented Kalman Filter (UKF)-based algorithm. Landscape has several features that are favorable to WSNs, such as high scalability, no intersensor communication overhead, moderate computation cost, robustness to range errors and network connectivity, etc. Extensive simulations demonstrate that Landscape is an efficient sensor positioning scheme for outdoor sensor networks.
AbstractList	As one of the fundamental issues in wireless sensor networks (WSNs), the sensor localization problem has recently received extensive attention. In this work, we investigate this problem from a novel perspective by treating it as a functional [abstract truncated by publisher]. As one of the fundamental issues in wireless sensor networks (WSNs), the sensor localization problem has recently received extensive attention. In this work, we investigate this 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 and/or velocity of a moving target. As a dual, we utilize a moving location assistant (LA) (with a global positioning system (GPS) or a predefined 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 (we call it a beacon) 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 the received signal strength (RSS), and individually calculates their locations via an Unscented Kalman Filter (UKF)-based algorithm. Landscape has several features that are favorable to WSNs, such as high scalability, no intersensor communication overhead, moderate computation cost, robustness to range errors and network connectivity, etc. Extensive simulations demonstrate that Landscape is an efficient sensor positioning scheme for outdoor sensor networks. Each sensor collects the location beacons, measures the distance between itself and the LA based on the received signal strength (RSS), and individually calculates their locations via an Unscented Kalman Filter (UKF)-based algorithm.
Author	Qiang Cheng Zeadally, S. Yingge Wang Liqiang Zhang
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SubjectTerms	Aircraft Algorithm/protocol design and analysis Antenna measurements Beacons Computer simulation Electronic mail Estimation Global Positioning System Landscapes Networks Position (location) Robot sensing systems Satellite navigation systems Sensor networks Sensors Studies Target tracking Time measurement Wireless Wireless sensor networks
Title	A Novel Distributed Sensor Positioning System Using the Dual of Target Tracking
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