摘要
采用跨层优化方法,分析了移动性无线传感器网络点对点链路的吞吐量优化问题。首先推导出吞吐量的理论表达式;以最大化吞吐量为目标,采用一种基于分层优化的数学框架,分别得到物理层最优符号速率、最优调制星座体积和MAC层最优数据包长;在此基础上,通过联合优化物理层参数和MAC层参数实现了链路吞吐量的最大化;最后提出了一种基于节点间通信距离的自适应跨层优化策略。仿真结果表明,与传统的分层优化相比,跨层优化后链路的吞吐量性能得到了明显提高。
In this paper ,the throughput of point-to-point link for mobile wireless sensor networks is studied using cross-layer optimization. Firstly,the theoretical throughput expressions is derived. To maximize the throughput, an mathematical optimization framework based on hierarchical optimization is adopted. And then the optimal symbol rate , the optimal constellation size in physical layer and the optimal packet in MAC layer are derived. According to these optimization variables , the cross-layer design can be used for throughput optimization. Finally, a adaptive cross-layer optimization strategy is proposed. Simulation results show that the throughput is significantly improved with the cross-layer design compared with traditional hierarchical optimization.
出处
《电子技术应用》
北大核心
2013年第2期100-102,106,共4页
Application of Electronic Technique
基金
国家自然科学基金资助项目(11172181)
广东省自然科学基金资助项目(10451200501004408)
广东韶关学院校级科研基金资助项目(2010年207号文件)
关键词
无线传感器网络
移动性
吞吐量
跨层优化
wireless sensor networks
mobility
throughput
cross-layer optimization
