Energy Efficiency Optimization In Wireless Network Coding

Abstract

In both wired and wireless networks, network coding provides important benefits such as minimized latency and energy consumption, unrepeated use of same channel, maximized bit rate, improved transmissions efficiency in used network, increased throughput and efficiently managed bandwidth. This paper provides an in-depth background on the theoretic details of network coding, adopts a more practical oriented approach to implementation, and concentrates on the impact of network coding in a dynamically changing wireless environment using distributed algorithms that do not have knowledge of the network environment. Specifically, we focus on energy optimization, which is the amount of energy required to transfer a unit of information from one source to several receivers simultaneously. The model for the proposed system is derived and simulated using the dynamic forwarding factor and transmission power efficiency. Simulation results show that our model could offer network coding benefits of a factor of log n (where n is the number of nodes), which minimizes the number of data transmissions per round.