【摘要】 移动医疗机会网络中存在不稳定的端到端的连接问题,该网络的数据转发是一个值得研究的重要问题。而现有的机会网络中的数据转发算法大多关注的是节点的静态属性,往往忽略了节点属性随时间变化而造成网络拓扑结构的改变。文章在分析了移动医疗机会网络中节点与相邻k跳邻居结构属性的基础上,提出了基于时间窗口的数据转发算法(DFTW)。该算法的主要思想是通过比较在相邻时间窗口节点的转发属性来选择合适的中继节点,进而提高网络的转发性能。通过仿真实验,与Epidemic、Label、Greedytotal算法相比,DFTW算法在保证较高传递率的同时,可以明显降低网络开销。更多还原

【Abstract】 Due to the unstable end-to-end connection problem in the mobile medical opportunity network,data forwarding in this network is an important issue worthy of study.However,most of the existing data forwarding algorithms mostly focus on the static attributes of the nodes,and often ignore the change of the network topology caused by the change of node attributes over time.Based on the analysis of the structural properties of nodes and adjacent k-hop neighbors in the mobile medical opportunity network,a data forwarding algorithm based on time window(DFTW) is proposed.The main idea of the algorithm is to select the appropriate relay node by comparing the forwarding properties of nodes in adjacent time windows,so as to improve the forwarding performance of the network.Simulation experiments show that compared with the algorithms of Epidemic,Label and Greedytotal,DFTW can significantly reduce network overhead while ensuring a high transmission rate.更多还原