基于链路特征的无线传感网络重编程性能优化方法

The wireless sensor network reprogramming technology has an important value for the deployment and maintenance of large-scale sensor network applications. The dynamic characteristics of the wireless link have an important influence on the performance of sensor network reprogramming protocol. The existing reprogramming protocols are designed for specific network link conditions, lack of investigation of adaptive optimization method according to link characteristics. This project focus on optimizing the performance of code distribution protocol of wireless sensor network reprogramming. It analyses influence of wireless network link characteristics on the performance of code distribution protocol. From the link characteristics, the link unreliability, link relevance, link low duty cycle, etc., we study the performance optimization method for the reprogramming code distribution protocol based on the link characteristics, and design adaptive reprogramming protocol optimization strategy, build the reprogramming protocol performance analysis and evaluation model, provide a theoretical analysis methods for protocol design. We verify the protocol in the reprogramming network test platform, to ensure the effectiveness of the optimizing strategies and methods of the code distribution protocol based on link characteristics. The research will provide technical support for wireless sensor network software updating and maintenance, and to play an active role in the technical development of the Internet of Things.

无线传感网络重编程技术对于大规模传感网络应用部署、管理维护具有重要价值。无线链路的动态特征对重编程协议的性能有重要影响，已有重编程协议多针对特定网络链路状况设计，仍缺乏对链路自适应优化方法的系统研究分析。项目以无线传感网络重编程的代码分发协议的性能优化为目标，通过分析无线网络自身的链路特性对代码分发协议性能的影响，从链路不可靠性、空间相关性、低占空比等链路动态特征的角度，研究基于链路特征的重编程代码分发协议的性能优化方法，设计重编程协议的自适应优化策略，建立重编程协议性能分析评估模型，为协议设计提供理论分析方法；通过建立重编程网络测试平台进行的验证和分析改进，保证基于链路特征的代码分发协议优化策略和方法的有效性。项目研究成果将为无线传感器网络的软件更新维护提供技术支撑，对于物联网技术发展起到积极推动作用。

无线传感网重编程协议是大规模物联网系统的在线软件更新维护中的重要技术问题。项目研究了物理层和网络层相关参数对链路相关性和协议性能的影响，首次建立综合考虑信号强度、噪音干扰、数据包长度等参数的无线链路相关性评估预测模型，获得更好的无线链路相关性估计精度，为链路相关性协议设计提供了理论模型；研究了大规模物联网传输时延精确测量方法，端到端时延测量精度比提高了3倍；研究了基于链路相关性的代码分发协议和性能优化方法，优化设计了利用链路相关性和无比率编码重编程协议，传输数据量降低48.5%，传输完成时间提高了45.3%；研究了大规模重编程的高效数据传输协议，提出了基于关联核心的批量数据传输协议，用于大规模物联网的代码映像数据批量传输，批量传输性能提升52%，整个数据传输时间完成降低49%，大幅度提升大规模物联网软件更新效率；项目研究成果在大规模视频物联网中应用并获得浙江省科技进步一等奖。