Cooperative coding and caching for streaming data in multihop wireless networks

Authors:
Dan Wang;Jiangchuan Liu;Qian Zhang;Fajun Chen
Affiliations:
Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;School of Computing Science, Simon Fraser University Burnaby, British Columbia, Canada;Department of Computer Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;Key Laboratory of Science and Technology for National Defence of Parallel and Distributed Processing, School of Computer, National University of Defense Technology, Changsha, Hunan, China
Venue:
EURASIP Journal on Wireless Communications and Networking - Special issue on multimedia communications over next generation wireless networks
Year:
2010

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Abstract

This paper studies the distributed caching managements for the current flourish of the streaming applications in multihop wireless networks. Many caching managements to date use randomized network coding approach, which provides an elegant solution for ubiquitous data accesses in such systems. However, the encoding, essentially a combination operation, makes the coded data difficult to be changed. In particular, to accommodate new data, the system may have to first decode all the combined data segments, remove some unimportant ones, and then reencode the data segments again. This procedure is clearly expensive for continuously evolving data storage. As such, we introduce a novel Cooperative Coding and Caching (3) scheme, which allows decoding-free data removal through a triangle-like codeword organization. Its decoding performance is very close to the conventional network coding with only a sublinear overhead. Our scheme offers a promising solution to the caching management for streaming data.