%0 Journal Article
%T Cross-layer optimization algorithm for wireless Mesh networks based on chance constrained programming<br>基于机会约束规划的无线Mesh网跨层优化算法
%A LI Ke-wei
%A LIU Bin
%A XU Zheng-xi
%A XU Zheng-guang
%A <br>李可维
%A 柳　彬
%A 徐正喜
%A 徐争光
%J 计算机应用研究
%D 2012
%I 
%X 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.
%K wireless Mesh network
%K congestion control
%K stochastic optimization
%K multi-radio multi-channel
%K cross-layer optimization<br>无线网状网
%K 拥塞控制
%K 随机优化
%K 多无线多信道
%K 跨层优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=924F7D591EA7595E338E0705F6452FA5&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=B31275AF3241DB2D&sid=62430EC5AE2C2006&eid=A7D54564544DD8A6&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=14