@article{article_295399, title={Short Range Indoor Distance Estimation by Using RSSI Metric}, journal={IU-Journal of Electrical & Electronics Engineering}, volume={17}, pages={3295–3302}, year={2017}, author={Türkoral, Türker and Tamer, Özgür and Yetiş, Suat and İnanç, Enes and Çetin, Levent}, keywords={Indoor distance estimation,RSSI}, abstract={<i> <span style="font-size:10.0pt;font-family:"Times New Roman","serif";mso-fareast-font-family: "Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:EN-US; mso-bidi-language:AR-SA;mso-no-proof:yes">In recent years, indoor localization problem is a highly preferred topic to study. In order to estimate the relative positions of the communication nodes in a localization system, the distance information of each node is required. In this paper, it is aimed to estimate the distances between the nodes by using the received signal strength (RSS) measurements. For an indoor environment, with the RSS based distance estimation methods, the short range distances between the nodes can be estimated by using the Received Signal Strength Indicator (RSSI) measurements taken over a standard wireless communication infrastructure, namely Wi-Fi. </span> </i>}, number={2}, publisher={İstanbul Üniversitesi-Cerrahpaşa}