@inproceedings{a8df3c5f8b4746c5ba2d1c429c1b7215,
title = "Fusion of information for sensor self-localization by a Monte Carlo method",
abstract = "We propose a distributed algorithm for sensor localization using beacon nodes. In this algorithm, beacon nodes broadcast distributions which contain information about their location. Nearby sensor nodes with unknown location information use this transmitted information and received beacon signal characteristics to estimate their positions. Sensors that estimate their positions become new beacons. A Monte Carlo method known as Importance Sampling is used for fusing these distributions and for obtaining approximations of the posterior distributions of the sensor locations. We also compute the Bayesian Cram{\'e}r-Rao bounds for self-localization of sensors and study the impact of the beacons' prior location information and other system parameters. We analyze the performance of the proposed algorithm through computer simulations and compare it with numerically obtained bounds.",
keywords = "Bayesian Cram{\'e}r-Rao bound, Importance sampling, Monte Carlo, Self-localization, Sensor networks",
author = "Mahesh Vemula and Bugallo, \{M{\'o}nica F.\} and Djuri{\'c}, \{Petar M.\}",
year = "2006",
doi = "10.1109/ICIF.2006.301709",
language = "English",
isbn = "1424409535",
series = "2006 9th International Conference on Information Fusion, FUSION",
booktitle = "2006 9th International Conference on Information Fusion, FUSION",
note = "2006 9th International Conference on Information Fusion, FUSION ; Conference date: 10-07-2006 Through 13-07-2006",
}