RF-based location determination in heterogenous sensor networks using Rayleigh fading channel

Location determination is an essential component in large sensor networks. In those types of networks, sensors are data centric, and hence, the location of each sensor is critical. Furthermore, the need for a cost-effective means for sensor localization eliminates a variety of options including GPS....

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Bibliographic Details
Main Authors: Ekin, S., El-Osery, A.I., Abd-Almageed, W.
Format: Conference Proceeding
Language:English
Subjects:
Computer networks
Computer vision
Fading
Monte Carlo methods
Particle filters
Prediction algorithms
Radio frequency
Radio transmitters
Rayleigh channels
Wireless sensor networks
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Summary:Location determination is an essential component in large sensor networks. In those types of networks, sensors are data centric, and hence, the location of each sensor is critical. Furthermore, the need for a cost-effective means for sensor localization eliminates a variety of options including GPS. In this paper, we use particle filters for estimating the location of sensors assuming a noisy Rayleigh fading channel. Simulation results show that the algorithm converges to approximately two-meter error range.
DOI:10.1109/INFOCOM.2008.4544630