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.