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Wireless Communications: Principles and Practice
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WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
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Recursive Position Estimation in Sensor Networks
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Proceedings of the 9th annual international conference on Mobile computing and networking
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Computer Communications
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MELT'09 Proceedings of the 2nd international conference on Mobile entity localization and tracking in GPS-less environments
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ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
An improved localization algorithm in wireless sensor network
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Cramér-Rao bound analysis of localization using signal strength difference as location fingerprint
INFOCOM'10 Proceedings of the 29th conference on Information communications
Localization in wireless sensor networks with known coordinate database
EURASIP Journal on Wireless Communications and Networking - Special issue on signal processing-assisted protocols and algorithms for cooperating objects and wireless sensor networks
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EURASIP Journal on Wireless Communications and Networking - Special issue on signal processing-assisted protocols and algorithms for cooperating objects and wireless sensor networks
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Wireless sensor node localization by multisequence processing
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Personal and Ubiquitous Computing
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ACM Transactions on Embedded Computing Systems (TECS)
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In this paper we present a novel sequence-based RF localization algorithm called Ecolocation. Our algorithm determines the location of unknown nodes by examining the ordered sequence of received signal strength (RSS) measurements taken at multiple reference nodes. We employ a constraint-based approach that provides for robust location decoding even in the presence of random RSS fluctuations due to multi-path fading and shadowing. Through extensive systematic simulations, and a representative set of real mote experiments, we show that over a wide range of settings Ecolocation performs better than other state of the art approaches in terms of localization accuracy and precision.