摘要
对地对空通信网络路由能耗进行优化设计,可节省通信网络路由能耗。但由于地对空通信网络容易受到周伟环境影响,使得采用传统的方法时,通信网络传输出现延迟,导致路由能耗较大的问题。提出改进模糊K均值算法的大型地对空通信网络路由设计方法。定义通信传输预测值,利用预测值描述数据传输的成功概率,融合于模糊K均值算法构建大型地对空通信能量消耗模型,设定各节点至汇聚节点间的距离阈值,定义地对空通信网络各簇头到汇聚节点的最小跳数为目标簇头适应度函数,采用改进的自适应混合蛙跳算法对簇头进行寻优,将最优解作为最终的簇头,完成对大型地对空通信网络路由设计。仿真结果证明,采用改进的方法设计地对空通信网络路由,可以有效的降低数据传输时延及能耗。
Optimization of design can save the route energy consumption of large ground-to-air communication network. However, the environment around can influence the network easily. In this paper, we proposed a route design method for communication network based on modified fuzzy K-means algorithm. Firstly, we utilized the defined predictive value of communication transmission to describe success probability. It was integrated with fuzzy K-means algorithm to establish energy consumption model. We also set distance threshold between nodes and sink nodes and defined minimum hops as target cluster heads fitness function between cluster heads and sink nodes. Then we optimized the cluster heads using modified adaptive hybrid leapfrog algorithm. Finally, we achieved the route design of communication network using optimum solution as final cluster. The simulation results show that using modified method can reduce the delay and energy consumption during data transmission effectively.
出处
《计算机仿真》
CSCD
北大核心
2016年第7期395-398,共4页
Computer Simulation
基金
吉林省教育厅"十二五"科研基金项目(120150054)
关键词
大型地对空
通信网络
路由设计
Large surface-to-air
Communication network
Route design
