Trading structure for randomness in wireless opportunistic routing
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Foundations and Trends® in Networking
XORs in the air: practical wireless network coding
IEEE/ACM Transactions on Networking (TON)
Parallelized Network Coding with SIMD Instruction Sets
ISCSCT '08 Proceedings of the 2008 International Symposium on Computer Science and Computational Technology - Volume 01
Random network coding on the iPhone: fact or fiction?
Proceedings of the 18th international workshop on Network and operating systems support for digital audio and video
IEEE Transactions on Information Theory
Full length article: On coding for reliable communication over packet networks
Physical Communication
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In the last few years, Network Coding (NC) has been shown to provide several advantages, both in theory and in practice. However, its applicability to battery-operated systems under strict power constraints has not been proven yet, since most implementations are based on high-end CPUs and GPUs. This work represents the first effort to bridge NC theory with real-world, low-power applications. In this paper, we provide a detailed analysis on the energy consumption of NC, based on VLSI design measurements, and an approach for specifying optimal algorithmic parameters, such as field size, minimizing the required energy for both transmission and coding of data. Our custom, energy-aware NC accelerator proves the feasibility of incorporating NC into modern, lowpower systems; the proposed architecture achieves a coding throughput of 80MB/s (60MB/s), while consuming 22uW (12.5mW) for the encoding (decoding) process.