机会传感网络连通性监视方法研究

During the operation of opportunistic sensor netwok, the contacts between mobile nodes are opportunistic and intermittent. These features lead to connectivity uncertainty. For application, it is necessary to monitor its connectivity, so that some strategy can be adopted to improve its connectivity. Currently, the study in the field is at the beginning. The proposal will study on monitoring approache of opportunistic sensor network during its operation, and it will focus on,1) the degree of mobile node connectivity and factors impacting on parameter transmission,2) the processing and transmission of connectivity parameters, and 3)modeling and presentation of network connectivity. With the support of the funding, the proposal will provide a holistic view of opportunistic sensor network connectivity via network connectivity, connectivity failure predition, and connectivity equilibrium degree. A machanism of forwarding opportunistic sensor network connectivity parameters will be presented, which is based on network layer architecture and utility. Furthermore, a light monitoring connectivity approche will be achieved, which is based on percolation theory and complex network theory. These acheivements will sopport the operation and management of opportunistic sensor networks, and will leverage its application in Poyang lake for monitoring environment, migrant birds, channel and so on.

机会传感网络运行过程中，由于移动节点连接的机会性、间歇性，导致网络的连通具有不确定性，需要对其连通性进行监视，从而采取相应策略改善其连通性能，以满足实际应用的需要。目前，国内外在该方面的研究尚属起步阶段，本项目拟研究机会传感网络运行过程中连通性的监视方法，具体研究内容如下：1) 移动节点的连通度及影响连通性参数传输的因素；2) 网络连通性参数的处理与传输；3) 网络连通性监视模型的建立与表示。本项目从网络连通状态、网络连通失效预测、网络连通均衡度三方面刻画机会传感网络的连通性，提出基于网络层次模型和基于效用相结合的连通性参数转发机制，获得一种基于渗透理论与复杂网络理论的轻量级的网络连通性监视方法，为机会传感网络的正常运行和管理提供支持，为机会传感网络在鄱阳湖区域环境监测、湖区候鸟监测、航道监测等方面的应用奠定基础。

机会传感网络运行过程中，由于移动节点连接的机会性、间歇性，导致网络的连通具有不确定性，需要对其连通性进行监视，从而采取相应策略改善其连通性能，以满足实际应用的需要。目前，国内外在该方面的研究尚属起步阶段，本项目研究了机会传感网络运行过程中连通性的监视方法，具体开展了以下研究：1) 网络模型、连通性指标与连通性参数；2) 网络连通性参数的处理与传输；3)网络连通性监视模型的建立与表示。其工作表现在：定义了机会传感网络的3层网络模型，定义子网消息投递成功率和子网消息平均投递时延为连通性指标，提取了区域与移动节点信息交互度、区域节点活跃度、移动节点平均速度、移动节点平均缓存为连通性参数；设计了基于双正交小波的连通性参数融合机制，基于效用的连通性参数转发机制；构建了基于进化图的连通性监视模型，连通失效预测模型，网络连通均衡性模型。在此研究基础上，提出了：基于随机图、进化图和时间图的机会传感网络连通性监视模型；采用整网连通度表征机会传感网络连通性；基于消息重要度的多区域机会网络消息转发机制；基于时间进化图的机会传感网络连通均衡性模型；基于TOPSIS和改进TOPSIS的关键节点预测方法。本项目从网络连通状态、网络连通失效预测、网络连通均衡度三方面刻画了机会传感网络的连通性，为机会传感网络的网络演化研究提供了基础，为机会传感网络的正常运行和管理提供支持，为机会传感网络在鄱阳湖区域环境监测、湖区候鸟监测、航道监测等方面的应用奠定基础。