Energy and data throughput for asymmetric inter-session network coding
Achuthan Paramanathan, Janus Heide, Peyman Pahlavani, Martin Hundebøll, Stephan Alexander Rein, Frank H. P. Fitzek, Gergö Ertli · 2012
In this paper we investigate the impact of asymmetric traffic patterns on the energy consumption and throughput in a wireless multi hop network. Network coding is a novel technique for communication systems and a viable solution for wireless multi hop networks. State of the art research is mainly focusing on ideal scenarios with symmetric traffic patterns that are not realistic in a real life scenario. The main contribution of this paper is the investigation of the asymmetric traffic patterns in terms of throughput and energy consumption, and a validation of these results by real measurements on commercial platforms. The outcome of this paper confirms the analytical expression, and the results shows that even with a large asymmetric data rate there is a gain in terms of energy consumption and throughput when network coding is applied in compare to the case when network coding is not applied.