作者: Anup Kuzhiyil , Luiza Timariu , Lalit Yerramilli Raju , Saravana Krishnan Kannan , Srinivasan Balasubramanian
DOI:
关键词: Computer vision 、 Real-time computing 、 Signal strength 、 Artificial intelligence 、 Scan types 、 Detection threshold 、 Terminal (electronics) 、 Point (geometry) 、 Selection (genetic algorithm) 、 Computer science
摘要: Techniques for performing WLAN system scanning and selection are described. A terminal performs multiple iterations of scan to detect systems. list containing at least one is initially determined. For each iteration, a type may be selected from among the supported types. The indicate passive or active scan, frequency channels etc. performed based on type. Signal strength measurements obtained access points received during used identify detected points. After all completed, candidates identified results, e.g., signal detection threshold. best candidate point association by terminal.