Network coding is becoming essential part of network systems since it enhances system performance in various ways. To take\nfull advantage of network coding, however, it is vital to guarantee low latency in the decoding process and thus parallelization of\nrandomnetwork coding has drawn broad attention fromthe network coding community. In this paper, we investigate the problem\nof parallelizing randomnetwork coding forembedded sensor systemswithmulticore processors. Recently, general purpose graphics\nprocessing unit (GPGPU) technology has paved the way for parallelizing random network coding; however, it is not an option on\nembedded sensor nodes without GPUs and thus it is indispensable to leverage multicore processors which are becoming more\ncommon in embedded sensor nodes. We propose a novel random network coding parallelization technique that can fully exploit\nmulticore processors. In our experiments, our parallel method exhibits over 150% throughput enhancement compared to existing\nstate-of-the-art implementations on an embedded system.
Loading....