项目名称: 面向服务质量优化的无线传感器网络资源调度算法研究
项目编号: No.61203216
项目类型: 青年科学基金项目
立项/批准年度: 2013
项目学科: 自动化学科
项目作者: 纪鹏
作者单位: 东北大学
项目金额: 24万元
中文摘要: 通过对通信资源调度与控制实现网络服务质量(QoS)整体优化是无线传感器网络(WSN)的重要研究课题。但WSN参数体系和应用技术的复杂多样性对资源优化调度提出很高的要求,而现有资源调度策略缺少统一的参考标准和有效实现机制。为此,本项目将QoS参数体系作为研究对象,提出面向应用需求的QoS参数优化模型框架,为网络效能优化提供约束标准;进而,构建非线性网络效能最大化(NUM)模型,设计网络全局优化目标函数,基于拓扑学和非线性规划理论研究效能约束模型的分布式分解方法,提出跨层参数约束下网络整体优化控制方法;基于跨层控制研究结果,提出分布式与集中式相结合的通信资源调度策略,研究基于非合作博弈论的分布式调度算法以及相应的跨层通信协议;此外,为了验证理论研究的正确性构建仿真实验平台和测试实验系统,设计模型与算法的验证实验。项目研究为实现WSN工作效能的整体提升提供新的思路,具有一定的学术价值与研究意义。
中文关键词: 无线传感器网络;服务质量;资源调度;跨层优化;网络效能最大化模型
英文摘要: How to achieve the overall optimization of network quality of service (QoS) by scheduling and controlling the communication resources is an important research topic in Wireless Sensor Networks (WSN) theory. However, WSN parameters system and application technology are complex and diverse, it means that the resource optimal scheduling should meet more requirements, and existing resource scheduling strategies are lack of uniform reference standards and effective implementation mechanism. To this end, the QoS parameters system is considered as the study object in this project. The application-oriented optimal model framework of QoS parameters is proposed, so that the constraints standard for network utility optimization is determined. Furthermore, the nonlinear Network Utility Maximum (NUM) model should be constructed and the objective function of network global optimization also needs to design. With the thought of topology and nonlinear programming, the distributed decomposition algorithm of the utility constraint model will be studied, and the overall optimization scenario with the cross-layer parameter constraints will be proposed, too. Based on the findings of cross-layer optimization, the distributed and centralized joint scheduling mechanism of communication resource will discussed, so the non-cooperative ga
英文关键词: wireless sensor networks;Quality of Service (QoS);resource scheduling;cross-layer optimization;Network Utility Maximum (NUM) model