Date of Award
Santa Clara : Santa Clara University, 2020.
Computer Science and Engineering
Nearly every person who usesWiFi on a daily basis has had trouble with a bad connection. Wireless connectivity issues are often difficult to diagnose and fix. Current solutions such as wired extenders, and MeshWiFi commercial packages are expensive and do not provide the user with a system that suggests placement of mesh units to maximize coverage. Our solution is an inexpensive and open-source diagnostic tool that maps out Wifi quality and informs the user of interference. With a simple, meaningful display, users will find trouble spots in their house, diagnose why IoT devices are not working, effectively place WiFi extenders and mesh nodes, and more.
Collins, Jeff; Iverson, Austin; Seaman, Collin; and Sindelar, Joseph, "LeaPi: Wireless Diagnostic Assistant" (2020). Computer Science and Engineering Senior Theses. 169.