Research On The Problem Of Wireless Resource Optimization Based On Inter-session Network Coding

It is proved that network coding can significantly improve the transmission performance of network, such as network throughput, system robustness, network security and so on. Network coding takes more advantages of the inherent broadcast characteristic of wireless channels. When there are multiple sessions sharing the constrained network resources, inter-session network coding can be used to decrease transmission times, and then improve the utilization efficiency of network resources. This paper mainly researches on the wireless resources optimization problem based on inter-session network coding. We have done the following works:Firstly, this paper deals with energy minimization for lifetime constrained wireless networks with inter-session network coding. Multicast flows with the same destination nodes constitute a commodity and network coding can be employed among different flows in the same commodity. The problem of energy minimization is first formulated, and then transformed into a linear programming problem. In light of Lagrangian dual, the primary optimization problem can be converted into a dual problem, which can be solved by utilizing sub-gradient method. Simulation results illustrate that the energy consumption of wireless networks with inter-session network coding is lower than that of intra-session network coding and routing.Secondly, this paper deals with the deficiencies of existing network coding-aware routing mechanisms in load balance and link interferences, proposing a load-balanced and interference-aware routing metric based on network coding. This metric adopts GCC to find coding opportunities, considers node load and link interferences into metric calculation. Simulation compares the performance of several routing mechanisms, showing that this proposed mechanism is better than others.