低占空比无线传感器网络跨层协同传输关键技术研究

项目名称： 低占空比无线传感器网络跨层协同传输关键技术研究

项目编号： No.61472217

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 自动化技术、计算机技术

项目作者： 曹志超

作者单位： 清华大学

项目金额： 85万元

中文摘要： 本研究针对大规模低占空比无线传感器网络数据收集过程中既要降低能量开销延长网络寿命，又要求提高收数率保证网络可靠性的迫切需求，综合考虑介质访问层，链路估计层和路由层在低占空比无线传感器网络中的时空特性，对跨层协同传输的关键技术进行深入的探索并计划提出实用高效的传输协议。本研究拟从实验测量，技术方法，理论分析和实验验证四个方面,自底向上协同优化低占空比无线传感器网络各层传输技术。根据实验测量验证现有协议性能缺陷，提出轻量级可靠高效低功耗侦听介质访问模型，在此介质访问模型上建立时空关联性链路估计模型，以此为基础建立动态路由优化问题并对其时间空间复杂度进行分析，通过实际无线传感网实验平台进行验证。本项目将为传统低占空比无线传感器网络数据传输技术研究提供新途径，为实现以最低能耗开销达到最可靠路由性能提供理论基础和技术支撑，具有显著的理论意义和应用价值。

中文关键词： 无线传感器网络；低占空比；跨层协同；时空关联性链路估计；动态路由

英文摘要： In large scale low duty-cycle wireless sensor networks, the network lifetime and the delivery reliability are two of the most important issues during data collection. To improve both lifetime and reliability simultaneously, by comprehensively considering the temporal-spatial characteristics of media access, link estimation and routing scheme under low duty-cycle context, we develop several key techniques of cross-layer forwarding, then propose practical and effective protocol. With experiment measurements, technical methods, theoretical analysis and experiment evaluation, we prepare to develop the cross-layer forwarding in down-to-up approach. According to several observations of experiment measurements, we first develop light-weight efficient low duty-cycle media access model. Then based on the new media access model, we construct temporal dependent link model and estimation methods. Further, we formulize the dynamic routing scheme as an optimization problem and analyze the time and space complexity of the algorithm. At last, we evaluate these key techniques on real testbeds. This project provides an alternative way for data forwarding in low duty-cycle wireless sensor networks. It provides the theoretical and technical foundation to find the most reliable route with the least energy consumption. This project has significant value on both theory and application.

英文关键词： Wireless Sensor Network;Low Duty Cycle;Cross Layer;Temporal-Spatial Link Estimation;Dynamic Routing