Vector-Based Location Finding for Context-Aware Campus

With the widespread adoption of Wireless technology, wi-fi Access Points are deployed more and more inside buildings as well as public areas. As part of the Technology Enhanced Campus (TEC) project, this paper presents two algorithms that are used to determine wi-fi location and zone recognition around the University campus. Using the signal strength and the MAC address of the nearby Access Points, the first algorithm is based on selecting the maximum strength MAC address and the second upon selecting the minimum dot product distance between the measured MAC address vector and a set of stored vectors. The Voronoi diagrams obtained from the metrics arising from both algorithms are studied. Using test cases, results of experiments carried out to find the closest fits of vector Voronoi diagrams to the physical infrastructures and buildings are discussed.