Social and location-based collaboration mechanism to manage wireless connectivity context data

This paper address the challenge of design a feasible social-based mechanism to manage wireless mobile connectivity. In a previous work, we proposed a methodology to share connectivity experiences among mobile users inside on-line social networks [11]. The aim was explore peoples social circles to enhance their wireless connectivity experiences e.g., QoS metrics such as: throughput, latency and signal quality. In this paper, details of the mashups, between wireless connectivity context data and location-based social media, are provided. We report how this data is handled using complex networks metrics e.g., vertex´s strength and centrality degree, to identify high density handover areas, define the mobile users´ reputation and to reveal the networks´ coverage. Real experiments showed that collaboration can improve QoS metrics from ~18 to ~30% if compared to just use a mobility predictor or a modern operational system, respectively. The discussion unfolds with focus on the collaboration´s efficiency as function of time, number of users, discovered area size and mobility patterns.