Triangulation positioning system network

Abstract

This paper presents ongoing work on localization and positioning through triangulation procedure for a Fixed Sensors Network - FSN. The FSN has to work as a system. As the triangulation problem becomes high complicated in a case with large numbers of sensors and transmitters, an adequate grid topology is needed in order to tackle the detection complexity. For that reason a Network grid topology is presented and areas that are problematic and need further analysis are analyzed. The Network System in order to deal with problems of saturation and False Triangulations - FTRNs will have to find adequate methods in every sub-area of the Area Of Interest - AOI. Also, concepts like Sensor blindness and overall Network blindness, are presented. All these concepts affect the Network detection rate and its performance and ought to be considered in a way that the network overall performance won’t be degraded.Network performance should be monitored contentiously, with right algorithms and methods. It is also shown that as the number of TRNs and FTRNs is increased Detection Complexity - DC is increased. It is hoped that with further research all the characteristics of a triangulation system network for positioning will be gained and the system will be able to perform autonomously with a high detection rate.