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Publication Type : Thesis
Publisher : B.Tech Thesis.
Source : B.Tech Thesis (2018).
Campus : Kochi
School : School of Arts and Sciences
Department : English
Year : 2018
Abstract : We present two algorithms for indoor positioning in peer-to-peer networks. The setup is a network of two types of devices: reference devices with a known location, and user devices that can determine distances to reference devices and each other. We present two algorithms for positioning estimation in such a peer-to-peer network. The first one is purely geometric and reduces determining the best estimate for the position of a device to a least squares problem. The second approach can be considered as a probabilistic version of the geometric approach. We estimate the probability density function that a device is located at a position, given a probability density function for the positions of the other devices in the network, and a probability density function of the measured distances.
Cite this Research Publication : R. Maheswaran, “Indoor Location Service in a Peer-Peer Network”, 2018.