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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/14756

Title: A New RSS-based Wireless Geolocation Technique Utilizing Joint Voronoi and Factor Graph
Authors: Aziz, Muhammad Reza Kahar
Lim, Yuto
Matsumoto, Tad
Keywords: factor graph
monitoring spots
Voronoi diagram
wireless geolocation
RSS
Issue Date: 2016
Publisher: United Kingdom Simulation Society
Magazine name: International Journal of Simulation: Systems, Science and Technology (IJSSST)
Volume: 17
Number: 32
Start page: 9.1
End page: 9.9
Abstract: This paper proposes a new joint received signal strength (RSS)-based Voronoi and factor graph (RVFG) wireless geolocation technique. The RSS-based Voronoi (RV) technique is used to provide the initial position for the RSS-based factor graph (RFG) technique. The initial point obtained by the RV is used to select the appropriate four monitoring spots which are covering the target for the RFG. We also modify the RV so that it can be performed in the fusion center. The proposed technique is tested in outdoor environment where only path-loss is taken into account. The performance of the proposed technique in term of the root mean square (RMSE) is compared to that of the conventional RV only technique. The results show that the accuracy of the proposed technique outperforms the conventional RV technique.
Rights: Copyright (C) 2016 United Kingdom Simulation Society. Muhammad Reza Kahar Aziz, Yuto Lim, and Tad Matsumoto, International Journal of Simulation: Systems, Science and Technology (IJSSST), 17(32), 2016, 9.1-9.9.
URI: http://hdl.handle.net/10119/14756
Material Type: publisher
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

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