The Design And Simulation Of The Energy Algorithm In Optical Network Transmission System

With the rapid development of network technology, the energy consumption o f network is also growing fast. So the network energy saving technology research is becoming the focus of people’s attention. The greatest advantage and use of the Internet is resource sharing. At the same time the bottom transmission network is bearing huge amount of transmission task every day. For a transmission link, the source node and destination node cannot be changed. Controlling the number of intermediate nodes in each transmission link is one of the main means of saving the network energy consumption. In this paper, we had a deep research and explore in energy saving method. Base on the research and explore, we improve the technology in three path. The simulation results show the effects are all ideal.First, we propose routing energy-saving algorithm based on genetic algorithm, using a single node as the research object and node traffic as weight and volume function as the search function. According to the search function, we get the final dormant node and realize node dormancy. In this paper we chose three sets of data for simulation verification. Compared with the original energy consumption, the energy consumption of two grou p decreased by 14% and 14% respectively. Then, According to the problem of fixed search function in the energy conservation algorithm, we put forward a node dormancy technology based on artificial fish algorithm. The algorithm can select limit for many times. In the process of simulation, we selected the limit value two times. When the limit value is 40% Max traffic, compared with the original energy consumption, the corresponding energy consumption of three groups of data decreased by 14%, 14% and 28% r espectively. When the limit value is 50% Max traffic, compared with the original energy consumptio n, the corresponding energy consumption of three groups of data decreased by 42% and 42% respectively. The last, we put forward a improved energy saving algorithm of immunization strategy for the complex network. Based on three kinds of immune strategy, we designed three kinds of Immune energy saving method. Through simulation verification, three kinds of energy saving strategies are effective, but with different amplitude. The stability and energy saving effect of one target immunity are both better than the other two immune strategy. Compared with the original energy consumption, the three groups of experimental data based on target immune decreased by 58%, 58% and 58%.