移动机会网络感知数据收集的路由机理研究

Mobile opportunistic networks (MONs) utilize the communication opportunities arising from node contacts to forward data in a hop-by-hop manner, which play an important role in implementing the intensive perception and ubiquitous interconnection in internet of things. Opportunistic routing is the theoretical basis for data communication in intermittently connected scenarios, it hence is worthy to be studied. Considering several important characteristics of mobile opportunistic networks, such as constrained resource of nodes, continuous data sensing, weak interconnectivity of network, we mainly study opportunistic routing algorithm and information sharing mechanism to solve several key scientific problems including efficient forwarding of sensory data, adaptive maintenance of assistant information etc.. We investigate the theories and methods of opportunistic computing based on the typical application such as green travel, and aim to obtain the novel research results to enrich the theoretical architecture of IoT. This project will promote more intensive applications of IoT in data sensing, transmission and service provision etc..

移动机会网络利用节点接触形成的通信机会逐跳传输数据，是满足物联网透彻感知与泛在互联的一种重要技术手段。机会路由作为实现间歇式连通环境下节点通信的理论基础，具有十分重要的研究意义。本项目根据移动机会网络节点资源受限性、数据感知连续性、网络状态弱连接性等特点，重点研究移动机会网络路由算法、信息共享机制等，解决感知数据的高效转发、辅助信息的自适应获取等关键科学问题，以绿色出行等典型应用为背景研究机会计算的理论与方法，取得一批高水平的学术成果，丰富物联网的理论体系，推动物联网在数据感知、传输与服务提供等方面更深入、更广泛的应用。

本项目“移动机会网络感知数据收集的路由机理研究”（批准号：U1404602）针对感知数据的高效转发与辅助信息的自适应获取等问题进行了深入研究，项目取得了多项创新成果，包括移动机会网络接触模型、重叠社区识别方法、基于节点社会性的机会路由算法、辅助信息收集的社会性启发式算法等。 本项目发表学术论文33篇，其中SCI论文11篇，EI 论文8篇，国际著名刊物6篇，获得最佳论文奖1次；申请国家发明专利1项， 受权软件著作权1件；1人次获河南省高校青年骨干教师；培养硕士研究生4名。