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Sensor Node Localization Using Mobile Acoustic Beacons

Name: Sensor Node Localization Using Mobile Acoustic Beacons
Brand: VDM Verlag Dr. Müller
SKU: 9783639153507
Price: 205.41 PLN
Availability: InStock

A Centralized Self Localization Approach in Wireless Sensor Networks

Autor: Manish Kushwaha

Język:

Oprawa: Miękka

Wydawca: VDM Verlag Dr. Müller

Dostępność: Na zamówienie

Wysyłamy za 17-27 dni

205.41 zł

In this monograph, we present a mobile acoustic §beacon based sensor node localization method. Our §...

Informacje o książce

Autor

Manish Kushwaha

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2009

strony

EAN

9783639153507

Enbook ID

06823860

Wydawca

VDM Verlag Dr. Müller

Waga

104

Wymiary

150 x 220 x 4

Pełny opis

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.