Impact of Environmental Factors for Wireless Network Based in Indoor Positioning Algorithms

The purpose of this paper is to show the impact of physical parameters (antenna gain, transmit and receive frequency, transmit and receive power, etc.) and atmospheric conditions (temperature, test time, humidity,) in the wireless network based indoor positioning algorithms. This study focuses on the accuracy and quality of the calculated position relative to the actual position. We first present the OWLPS (Owl Positioning System) which is a positioning system based on IEEE 802.11 signal strength, designed, developed and released by the FEMTO-ST/DISC/OMNI team of University of Franche-comteé at Montbéliard. The data produced by the aggregator server are used to the positioning server in order to appreciate our approach. Finally, we will understand the results produced by our method with those produced by other algorithms.