On interpolating between probability distributions
Applied Mathematics and Computation
A Probabilistic Room Location Service for Wireless Networked Environments
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
Ecolocation: a sequence based technique for RF localization in wireless sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Statistical location detection with sensor networks
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
MoteTrack: a robust, decentralized approach to RF-based location tracking
Personal and Ubiquitous Computing
Robust and distributed stochastic localization in sensor networks: Theory and experimental results
ACM Transactions on Sensor Networks (TOSN)
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
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We present a technique that makes up a practical probabilistic approach for locating wireless sensor network devices using the commonly available signal strength measurements (RSSI). From the RSSI measurements between transmitters and receivers situated on a set of landmarks, we construct appropriate probabilistic descriptors associated with a device's position in the contiguous space using a pdf interpolation technique. We then develop a localization system that relies on these descriptors and the measurements made by a set of clusterheads positioned at some of the landmarks. The localization problem is formulated as a composite hypothesis testing problem. We develop the requisite theory, characterize the probability of error, and address the problem of optimally placing clusterheads. Experimental results show that our system achieves an accuracy equivalent to 95%