Research Of Energy Efficiency In Wireless Networks Broadcasting Base On Network Coding

Energy efficiency is one of the critical parameters to scale the performance of wireless networks. Recent years, with the rapidly development in wireless technology and increasing demands on transmission quality, how to use existing network resources to reduce transmitting spending and improve energy efficiency is becoming one of the important problems in wireless communication research area.In 2000, Ahlswede proposed the idea of network coding based on the concept of network information flow and proved that networks have more flows by coding. Network coding has changed that in traditional networks intermediate nodes only act as transmitting nodes. It allows intermediate nodes to encode information which need to be transmitted. The receiving nodes could carry out the decodig function to recover information. After that, researches on the application of network coding to many aspects have appeared, which focuses on the improvement of networks throughput, security and energy efficiency.Because the fallibility of wireless links and the broadcasting characteristic of physical layer are very fit for using the coding method, network coding has very good application on the energy efficiency of wireless networks. It also offers a new approach to solve the problem of minimum energy broadcasting. Aiming at the problem of energy efficiency when broadcasting in wireless networks, this paper presents a distributed always encoded algorithm to improve energy efficiency in wireless networks broadcasting based on network coding (DAEBNC). Its main idea is that the sent node chooses source packets to generate several linearly independent combinations based on random linear network coding and broadcasts certain times based on the number of source packets which neighbors have. Then received nodes solve a system of linear equations to decode combined packets and retrieve source packets. Theoretic analysis reveals that encoded packets based on our approach can be decoded in all received nodes, which effectively reduces the number of transmissions. Simulation results indicate that comparing with existing flooding algorithm and ameliorative broadcasting schemes, our approach can effectively improve energy efficiency and consequentlyimprove the performance of wireless networks.