期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2019
卷号：10
期号：3
页码：74-82
DOI：10.21817/indjcse/2019/v10i3/191003014
出版社：Engg Journals Publications
摘要：Detecting users in an indoor environment based on Wi-Fi signal strength has a wide domain of applications.This can be used for objectives like locating users in smart home systems, locating criminals in boundedregions, obtaining the count of users on an access point etc. The paper develops an optimized model that couldbe deployed in monitoring and tracking devices used for locating users based on the Wi-Fi signal strength theyreceive in their personal devices. Here, we procure data of signal strengths from various routers, map them tothe user’s location and consider this mapping as a classification problem. In this research work focuses onoptimization strategy those results in better accuracy of the model by using the support vector machine.
关键词：SVM; User localization; Wi;Fi signal strength; Fuzzy logic; Polykernel
