While smart grid technology is a research hotspot in academia nowadays,as well as a main trend of the development of electrical Systems,the communication rate and quality of the power communication network,a significant part of smart grid,will directly affect the performance of the whole electrical networks.Considering this practical demand,the goal of this article is designing appropriate routing strategies to improve the transmission efficiency according to the actual situation of power communication networks.First,we add a variable parameter to regulate the weight of two pieces of information,in routing design,which is a kind of adaptive local routing strategy based on degree and waiting time,considering the static and dynamic information in network topology.And then,we firstly design a scheduling algorithm based on maximum waiting time with the respect of businesses with different significance,and combine the algorithm with the routing strategy designed in this paper to obtain a routing strategy based on business importance.In this paper,I perform stimulation to both of the two strategies.The results show that,while using average travel time of data packets as index,comparing to the performances of single-static,single-dynamic and non-adaptive strategies,the first routing strategy improve by 90.0%,22.4%,9.9% respectively.Under the second routing strategy,which provides a guarantee of basic transmission rate,the proportion of average transmission time against whole average transmission time with of four kinds of data packets,which have importance degree: one,two,three and four respectively,are 8.4%,12.0%,18.9% and 115.6%,demonstrating that the packets with higher importance degree take priority of being transmitted. |