A New Wireless Geolocation Technique Using Joint RSS-Based Voronoi and Factor Graph

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Muhammad Reza Kahar Aziz, Yuto Lim, Tad Matsumoto

2016 Proceedings - AMS 2015: Asia Modelling Symposium 2015 - Asia 9th International Conference on Mathematical Modelling and Computer Simulation Conference paper Cited by 5 Quartile

Abstract

This paper proposes a new joint received signal strength (RSS)-based Voronoi and factor graph (RVFG) for wireless geolocation technique. The RSS-based Voronoi (RV) geolocation technique is used to select the appropriate four monitoring spots of RSS-based factor graph (RFG) covering the target. The RV technique is also used to provide the initial position of RFG technique. We modify the Voronoi geolocation algorithm so that it can be performed in the fusion center. The performance of the proposed technique is compared in term of the root mean square (RMSE) to that of the conventional Voronoi only technique. The results show that the accuracy of the proposed technique out performs the conventional RV technique. © 2015 IEEE.

Affiliations

School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, 923-1292, Japan; Electrical Engineering Department, Institut Teknologi Sumatera (ITERA), Lampung Selatan, 35365, Indonesia; Centre for Wireless Communications, University of Oulu, Oulu, 90014, Finland

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