利用改进型命名数据网络的物联网大数据高效转发策略

AN EFFICIENT FORWARDING STRATEGY OF IOT BIG DATA USING IMPROVED NAMED DATA NETWORK

针对传统基于定向扩散命名数据网络(Directed Diffusion Named Data Network,DD-NDN)转发策略未考虑传感器节点的能量、存储、带宽的实际约束,无法完全适用于物联网大数据转发的问题,提出考虑邻居节点空间信息与能量信息的改进NDN路由转发策略。在分析传统NDN转发策略的优点与不足的基础上,建立适用于物联网大数据转发的NDN通信模型;通过邻居节点交换空间信息与剩余电量信息的方式构建转发列表,并采用贪婪转发策略实现数据的高效转发;在NDNSim仿真环境下,对相同算例进行对比验证分析。仿真结果表明,与仅考虑最邻近节点转发的定向扩散NDN方法相比,该策略的平均路由跳数、平均路由延时和丢包率分别下降了11.11%、20.40%和82.14%。

The traditional forwarding strategy based on directed diffusion named data network(DD-NDN)cannot be fully applied to the big data forwarding of the Internet of things without considering the actual constraints of energy,storage and bandwidth of the sensor nodes.Therefore,we propose an improved NDN routing and forwarding strategy considering the spatial and energy information of neighbor nodes.Based on the analysis of the advantages and disadvantages of the traditional NDN forwarding strategy,we established a model of NDN communication for big data forwarding of the Internet of Things;the forwarding list was constructed by exchanging spatial information and residual power information by means of neighbor nodes,and the greedy forwarding strategy was adopted to achieve the efficient forwarding of data;in the NDNSim simulation environment,the same example was compared and validated.The simulation results show that the average routing hops,average routing delay and packet loss rate of our strategy are reduced by 11.11%,20.40%and 82.14%respectively,compared with the directed diffusion NDN method,which only considers the forwarding of the nearest nodes.