Kniha Sensor Node Localization Using Mobile Acoustic  Beacons Manish Kushwaha

Sensor Node Localization Using Mobile Acoustic Beacons

A Centralized Self Localization Approach in Wireless Sensor Networks

Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: U nakladatele na objednávku
Odesíláme za 17-27 dnů
1 173
In this monograph, we present a mobile acoustic §beacon based sensor node localization method. Our §...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2009
Stránek
64
EAN
9783639153507
Enbook ID
06823860
Hmotnost
104
Rozměry
150 x 220 x 4

Kompletní popis

In this monograph, we present a mobile acoustic §beacon based sensor node localization method. Our §technique is passive in that the sensor nodes §themselves do not need to generate an acoustic signal §for ranging. This saves cost, power and provides §stealthy operation. Furthermore, the beacon can §generate much more acoustic energy than a severely §resource constrained sensor node, thereby §significantly increasing the range. The acoustic §ranging method uses a linear frequency modulated §signal that can be accurately detected by matched §filtering. This provides longer range and higher §accuracy than the current state-of-the-art. The §localization algorithm was especially designed to §work in such acoustically reverberant environment, as§urban terrain. The algorithm presented handles non §Gaussian ranging errors caused by echoes. Node §locations are computed centrally by solving a global §non-linear optimization problem in an iterative and §incremental fashion. In this monograph, we present a mobile acoustic §beacon based sensor node localization method. Our §technique is passive in that the sensor nodes §themselves do not need to generate an acoustic signal §for ranging. This saves cost, power and provides §stealthy operation. Furthermore, the beacon can §generate much more acoustic energy than a severely §resource constrained sensor node, thereby §significantly increasing the range. The acoustic §ranging method uses a linear frequency modulated §signal that can be accurately detected by matched §filtering. This provides longer range and higher §accuracy than the current state-of-the-art. The §localization algorithm was especially designed to §work in such acoustically reverberant environment, as §urban terrain. The algorithm presented handles non §Gaussian ranging errors caused by echoes. Node §locations are computed centrally by solving a global §non-linear optimization problem in an iterative and §incremental fashion.

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