Study On Energy Consumption Optimization Routing Strategy Based On Adaptive Link Rate

There is an urgent need to reduce network system energy consumption for constructing green network in current computer area. At present, the Ethernet network interfaces consume a considerable part of the energy in the wired network system. But the utilization of Ethernet links is widely low in level for most of the time. Adaptive Link Rate (ALR), as an important energy-efficient method of dynamic adaptation, can effectively reduce the energy consumption of the Ethernet link by adaptively varying the link data rate according to the link load. So, the investigations of related policies with Adaptive Link Rate and routing strategy from global point of view are of great significance to building the next generation networking architecture of green environmental protection, low waste energy and high effective network devices.In this paper, the policy of the ALR has been investigated from the partial point of view at first. A mode of processing domain is proposed according to data-transfer process of Ethernet link. And in this mode, a kind of ALR control policy with hysteresis, called ALR hysteresis policy, is defined. Making use of related knowledge of Queuing Theory and Markov chain, the probabilities distribution of all operating states and frequency of rate switches are deduced. Simulation experiments show that ALR control policy is able to obtain better energy saving effect on the premise that the performance of the system has been satisfied.Then, on the basis of ALR hysteresis policy, a network routing programming problem is built in order to minimize energy consumption. Due to the fact that the programming problem is NP-hard problem, which means the optimal solution is virtually unobtainable, this paper presents a distributed energy efficient routing strategy based on ant colony algorithm to make sure the policy’s feasibility. In the simulation experiments, the results show that the energy consumption optimization routing algorithm in this paper can be more efficient for ALR by compared with other routing algorithms in terms of energy saving effect and performance.