Cooperative localization in wireless sensor networks IEEE SIGNAL

• • • INTRODUCTION COOPERATIVE STATISTICAL MODELS LOCATION ESTIMATIONALGORITHMS COMPARISON CONCLUSION 2

INTRODUCTION • Accurate and low-cost sensor localization is a critical requirement for the deployment

INTRODUCTION • Using the models, we show to calculate a Cramer-Rao bound (CRB) on

LOCATION ESTIMATIONALGORITHMS • Centralized algorithms • Distributed algorithms 8

CONCLUSION • Cooperative localization research will continue to grow as sensor networks are deployed

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Cooperative localization in wireless sensor networks IEEE SIGNAL PROCESSING MAGAZINE JULY 2005 Author: Neal Patwari, Joshua N. Ash, Spyros Kyperountas, Alfred O. Hero III, Randolph L. Moses, and Neiyer S. Correal 1

• • • INTRODUCTION COOPERATIVE STATISTICAL MODELS LOCATION ESTIMATIONALGORITHMS COMPARISON CONCLUSION 2

INTRODUCTION • Accurate and low-cost sensor localization is a critical requirement for the deployment of wireless sensor networks in a wide variety of applications. • we describe measurement-based statistical models useful to describe time-of-arrival (TOA), angle-of-arrival (AOA), and receivedsignal-strength (RSS) measurements in wireless sensor networks. 3

INTRODUCTION • Using the models, we show to calculate a Cramer-Rao bound (CRB) on the location estimation precision possible for a given set of measurements. 4

Cooperative 5

LOCATION ESTIMATIONALGORITHMS • Centralized algorithms • Distributed algorithms 8

CONCLUSION • Cooperative localization research will continue to grow as sensor networks are deployed in larger numbers and as applications become more varied. • We have presented measurement based statistical models of TOA, AOA, and RSS, and used them to generate localization performance bounds. 11