Dynamic Indoor Positioning with the Handover Algorithm

F. Alsehly, R. Mohd Sabri, Z. Sevak, T. Arslan

Abstract:	Increasingly more and more research is being carried out in indoor positioning. This is mainly because there is no feasibility of any GNSS solution that works indoors with a reasonable accuracy. For this reason researchers continue investigating the use of other types of signals or sensors to solve the indoor positioning problem. Most feasible solutions currently are systems and Algorithms based on a Wi-Fi receiver that scans beacons broadcast from well mapped Access Points. The rapid growth of Wi-Fi coverage over the world is one of the main reasons behind the success of these systems. The more Access Points the Wi-Fi receiver is able to scan and recognize the more accurate the position will be. The authors have proposed a “Wi-Fi Handover Algorithm” [1] presented in the ITM2010 meeting. The main aim of this algorithm was to improve the location accuracy over any reference Wi-Fi positioning algorithm. This was the result of determining the consistency of multiple position measurements. To compliment any reference Wi-Fi positioning algorithm the Handover algorithm was used to drive the position on a reliable path by handing over the calculated position between the nodes on the designed grid. In this paper the authors introduce a new dynamic version of the previous Handover Algorithm. The aim of this dynamic Handover Algorithm is to recognize the publicity of the Wi-Fi signals while the user is moving and properly modify the Handover figures in the position tracking model. The algorithm dynamically tunes Handover Parameters such as grid size, number of cells, and cell dimensions in order to best fit the scanned test areas. Unlike any test or training area where the publicity of the access points is already known, a hand held solution should be able to get the best available position where ever it is. Therefore, in this research we will highlight dynamic changes in the Handover figures in many types of buildings with different topography. The paper will also provide results on how such algorithm are optimized for handheld devices using real mobile phone devices such as Nokia 5800 and N97 series. Increasingly more and more research is being carried out in indoor positioning. This is mainly because there is no feasibility of any GNSS solution that works indoors with a reasonable accuracy. For this reason researchers continue investigating the use of other types of signals or sensors to solve the indoor positioning problem. Most feasible solutions currently are systems and Algorithms based on a Wi-Fi receiver that scans beacons broadcast from well mapped Access Points. The rapid growth of Wi-Fi coverage over the world is one of the main reasons behind the success of these systems. The more Access Points the Wi-Fi receiver is able to scan and recognize the more accurate the position will be. The authors have proposed a “Wi-Fi Handover Algorithm” [1] presented in the ITM2010 meeting. The main aim of this algorithm was to improve the location accuracy over any reference Wi-Fi positioning algorithm. This was the result of determining the consistency of multiple position measurements. To compliment any reference Wi-Fi positioning algorithm the Handover algorithm was used to drive the position on a reliable path by handing over the calculated position between the nodes on the designed grid. In this paper the authors introduce a new dynamic version of the previous Handover Algorithm. The aim of this dynamic Handover Algorithm is to recognize the publicity of the Wi-Fi signals while the user is moving and properly modify the Handover figures in the position tracking model. The algorithm dynamically tunes Handover Parameters such as grid size, number of cells, and cell dimensions in order to best fit the scanned test areas. Unlike any test or training area where the publicity of the access points is already known, a hand held solution should be able to get the best available position where ever it is. Therefore, in this research we will highlight dynamic changes in the Handover figures in many types of buildings with different topography. The paper will also provide results on how such algorithm are optimized for handheld devices using real mobile phone devices such as Nokia 5800 and N97 series.
Published in:	Proceedings of the 23rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2010) September 21 - 24, 2010 Oregon Convention Center, Portland, Oregon Portland, OR
Pages:	1233 - 1242
Cite this article:	Alsehly, F., Sabri, R. Mohd, Sevak, Z., Arslan, T., "Dynamic Indoor Positioning with the Handover Algorithm," Proceedings of the 23rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2010), Portland, OR, September 2010, pp. 1233-1242.
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