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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: 17161 HUF
Availability: InStock

A Centralized Self Localization Approach in Wireless Sensor Networks

Szerző: Manish Kushwaha

Nyelv:

Kötés: Puha kötésű

Kiadó: VDM Verlag Dr. Müller

Elérhetőség: Kiadói készleten rendelésre

Küldés 17-27 napon belül

17 161 Ft

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

Információk a könyvről

Szerző

Manish Kushwaha

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2009

oldal

EAN

9783639153507

Enbook ID

06823860

Kiadó

VDM Verlag Dr. Müller

Súly

104

Méretek

150 x 220 x 4

Teljes leírás

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.