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Conference Paper

Title

Energy efficient, context-aware cache coding for mobile information-centric networks

Abstract

In a mobile, intermittently connected information- centric network (ICN), users download files either from the original source or from caches assembled during pre- vious downloads. Network coding has helped to increase download robustness and overcome “missing coupon” delays. Prior work has also shown that network coding depletes energy resources much faster than no coding. Our contribution here is to make coding more efficient, and to detect when it is not necessary, in order to pro- long the life of mobile handhelds. In the network coding context, Cache Coding (i.e., coding performed only on fully cached files) can prevent pollution attacks without significantly reducing diver- sity and performance with respect to unrestricted code mixing. Cache Coding introduces the first important means to reduce energy consumption by avoiding the extremely processor-intensive homomorphic code used in conventional unrestricted mixing networks. Our sec- ond contribution is to detect when Cache Coding is not required and disable it to save precious energy. The pro- posed Context-Aware Cache Coding (CACC) toggles between using Cache Coding and no coding based on the current network context (e.g., mobility, error rates, file size, etc). Our CACC implementation on Android de- vices demonstrates that the new scheme improves upon network coding’s file delivery rate while keeping energy consumption in check.

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Paper: PDF file of paper
Slides: PPT file of slides

Information & Date

DEBS 2016, , May. 2016

Authors

Josh Joy
Yu-Ting Yu
Mario Gerla
Ashish Gehani
Hasnain Lakhani
Minyoung Kim