Abstract
In this thesis, we guided the reader through the whole process for building a novel Tactful Opportunistic COmmunicaTion Strategy (TOOTS). TOOTS leverages wireless encounter patterns, temporal, spatial, geographic, and direction awareness to improve cost-effectiveness content delivery in a mobile networks scenario. The proposal consists of: learning human-aspect stateof-art best practices; achieving insights to improve strategy’s performance; using, proposing, and analyzing human-aware metrics; combining metrics and insights into the strategy targeting an improved performance in a more realistic mobile scenario; and finally, evaluating the strategy through its strengths and shortcomings. This thesis shows that TOOTS improved the performance of an opportunistic content delivery scenario in terms of overhead, delivery rate, and latency by following this process. The strategy can be applied in different scenarios to assist the operator in delivering content without not necessarily using their legacy network, e.g., by exploring the capillarity of their mobile users, for data offloading and other applications.
Rafael Costa
PhD in Computer Science
My research interests include computer networks and information centric networking.
Leobino Sampaio
Professor of Computer Science
My research interests include Information-Centric Networking (ICN), in particular, the NDN Architecture, applied to mobile scenarios, such as VANETs, FANETs, and IoT.