UCLA

Information-centric networks have recently been drawing increasing attention in academia as well as in industry. Information and content retrieval is a critical service for mobile ad-hoc networks. It relies on many resources and tools, such as internal storage, content searching and sharing, delay-tolerant delivery, etc. Previous studies have shown that conventional ICN interest query schemes and content searching architectures, if not properly designed, can cause significant performance degradation and energy consumption, especially for large scale mobile ad hoc networks. In this dissertation, we propose a content retrieval architecture for ICN MANETs that is structured according to social hierarchy and is highly scalable.