基于机会约束规划的无线Mesh网跨层优化算法  

Cross-layer optimization algorithm for wireless Mesh networks based on chance constrained programming

作　　者：李可维[1] 柳彬[1] 徐正喜[1] 徐争光[2] 

机构地区：[1]武汉第二船舶设计研究所,武汉430064 [2]华中科技大学电子与信息工程系,武汉430074

出　　处：《计算机应用研究》2012年第6期2306-2309,共4页Application Research of Computers

基　　金：中央高校基本科研业务费资助项目(2010QN032)

摘　　要：以无线Mesh网的联合拥塞控制与功率控制为优化目标,针对网络中的不可控数据流与无线传播环境的时变随机性两类随机性因素,结合随机网络效用最大化理论,建立了无线Mesh网的跨层联合优化模型。将无线Mesh网络中的不可控数据流和时变无线传播的干扰建模为随机变量,采用机会约束规划方法进行分析,最后利用遗传算法求解该随机优化问题,并进行了仿真验证。仿真结果反映了网络速率、节点发射功率与链路置信水平三者之间的定量制约关系。This paper proposed a stochastic model for joint optimal congestion control and power allocation in multi-radio multi-channel networks.It formulated the design problem as a network utility maximization subject to some constraints,which was a chance constrained programming.The model characterized the stochastic network flow and time-varying wireless environment in Mesh networks based on the stochastic network utility maximization.It used the genetic algorithm to solve the stochastic optimization problem.Simulations show that the results obtained by the chance constrained programming present the quantity relationship of network throughout,transmission power and link confidence level.

关 键 词：无线网状网 拥塞控制 随机优化 多无线多信道 跨层优化 

分 类 号：TN915.02[电子电信—通信与信息系统] TP301.6[电子电信—信息与通信工程]