An Energy Efficient Optimization Routing Strategy Based on Rate Adaptation

It is a very important topic to reduce network energy consumption for constructing green network in current computing area. Rate adaptation of network device provides an effective approach to optimize network energy consumption and improve network energy efficiency. In this paper, we propose a global optimization approach for network energy efficiency based on rate adaptation. According to the characteristics of service in network system, we establish an energy consumption model by abstracting network service components as a processing domain from a global point of view. In order to obtain the average rate of service and the switched number of running mode in processing domain, the service process of the processing domain is regarded as the queuing system with variable service rate. Then, we construct energy consumption optimization model to minimize network energy consumption. We give a genetic algorithm to solve energy consumption optimization model, and the comparison results of energy consumption and delay in simulation. Compare with the two GreenOSPF energy efficiency algorithms with rate adaptation in simulation, the energy consumption optimization model proposed by this paper is suitable for rate adaptation mechanism at link, and then obtain the goal of optimization and reducing of energy consumption.