Sensor positioning in wireless ad-hoc sensor networks using multidimensional scaling

Sensor Positioning is a fundamental and crucial issue for sensor network operation and management. In the paper, we first study some situations where most existing sensor positioning methods tend to fail to perform well, an example being when the topology of a sensor network is anisotropic. Then, we...

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Vydáno v:IEEE INFOCOM 2004 Ročník 4; s. 2652 - 2661 vol.4
Hlavní autoři: Xiang Ji, Hongyuan Zha
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 2004
Témata:
Anisotropic magnetoresistance
Computer network management
Computer science
Engineering management
Intelligent networks
Iterative methods
Multidimensional systems
Network topology
Object detection
Wireless sensor networks
ISBN:0780383559, 9780780383555
ISSN:0743-166X
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Abstract Sensor Positioning is a fundamental and crucial issue for sensor network operation and management. In the paper, we first study some situations where most existing sensor positioning methods tend to fail to perform well, an example being when the topology of a sensor network is anisotropic. Then, we explore the idea of using dimensionality reduction techniques to estimate sensors coordinates in two (or three) dimensional space, and we propose a distributed sensor positioning method based on multidimensional scaling technique to deal with these challenging conditions. Multidimensional scaling and coordinate alignment techniques are applied to recover positions of adjacent sensors. The estimated positions of the anchors are compared with their true physical positions and corrected. The positions of other sensors are corrected accordingly. With iterative adjustment, our method can overcome adverse network and terrain conditions, and generate accurate sensor position. We also propose an on demand sensor positioning method based on the above method.
AbstractList Sensor Positioning is a fundamental and crucial issue for sensor network operation and management. In the paper, we first study some situations where most existing sensor positioning methods tend to fail to perform well, an example being when the topology of a sensor network is anisotropic. Then, we explore the idea of using dimensionality reduction techniques to estimate sensors coordinates in two (or three) dimensional space, and we propose a distributed sensor positioning method based on multidimensional scaling technique to deal with these challenging conditions. Multidimensional scaling and coordinate alignment techniques are applied to recover positions of adjacent sensors. The estimated positions of the anchors are compared with their true physical positions and corrected. The positions of other sensors are corrected accordingly. With iterative adjustment, our method can overcome adverse network and terrain conditions, and generate accurate sensor position. We also propose an on demand sensor positioning method based on the above method.
Author Hongyuan Zha
Xiang Ji
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  fullname: Hongyuan Zha
  organization: Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
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Snippet Sensor Positioning is a fundamental and crucial issue for sensor network operation and management. In the paper, we first study some situations where most...
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StartPage 2652
SubjectTerms Anisotropic magnetoresistance
Computer network management
Computer science
Engineering management
Intelligent networks
Iterative methods
Multidimensional systems
Network topology
Object detection
Wireless sensor networks
Title Sensor positioning in wireless ad-hoc sensor networks using multidimensional scaling
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