Content Centric Mechanisms for Efficient Data Dissemination in Delay Tolerant Networks
Sähkötekniikan korkeakoulu | Master's thesis
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TLT - Tietoliikennetekniikka
61 + 10
AbstractToday’s internet was founded as a host centric abstraction for connecting machines over a geographically distributed data base. Since then it has exploded into a trillion dollar industry for providing services and content to the world. For meeting these ever growing consumer demands, internet service providers have used bolt-on approaches to patch the internet. On the other hand, the last decade has witnessed the worst natural disasters on earth which resulted in total or partial destruction of communication infrastructure. Understanding these challenges, researchers are committed to re-architect the internet with clean slate information centric approaches. These future internet architectures have shifted the dynamics from predominately location oriented models to data oriented models. These models provide location independence which eases the network configuration and implementation of network services in mobile environments. In this perspective, this thesis aims to hack content centric abstraction to provide optimized solutions for delay tolerant network scenarios. We provide information aware mechanisms which help to take adequate forwarding and caching decisions in these dynamic and challenged environments. This thesis proposes a unique popularity estimation algorithm and a name based prioritization algorithm for disseminating data more productively in intermittently connected networks. For evaluation it analyses the performance for both mechanisms and compare them with the latest solutions. Furthermore the thesis discusses potential research areas in the field of information centric networking and future directions for this thesis.
Thesis advisorSeedorf, Jan
information centric networking, delay tolerant networking, content centric networking, challenged networks