摘要
为提高车载信息中心网络(Vehicular Information Centric Network,VICN)中内容发现效率和转发准确率,提出面向节点密度自适应性的内容发现策略(Adaptive Strategy of Content Discovery against Node Density,ASCD-ND)。节点通过邻居HELLO包感知局部节点密度。在节点密度高时采用De M(Dense Mode)模式,通过轻量级的探测包和反馈包交互,在大流量网络中抑制网络开销;在节点密度低时采用SpM(Sparse Mode)模式,通过多源多路径的兴趣包广播和内容反馈,在低连通度网络中提高数据分组到达率。同时,通过概率因子调整两种模式执行比例,实现对不同节点密度场景的平滑切换。仿真结果表明,提出的方案能有效实现不同节点密度下网络开销和内容发现率的权衡,提高了传输效率和数据分组到达率。
In order to improve the efficiency of content discovery and forwarding accuracy in Vehicular Information Centrie Network （VICN）, an adaptive strategy of content discovery against node density is proposed （ASCD-ND）. Nodes perceive the local node density through the HELLO packets from their neighbors. The DeM （Dense Mode） mode is adopted for the dense network so that the network overhead is suppressed through the interaction of lightweight detection packets and feedback packets. In contrast, the SpM （Sparse Mode） mode is then adopted under the sparse network so that the packet arrival rate is improved in the low connectivity network by the multicast and content feedback of multi-sources and multipath networks. In addition, it adjusts the proportion of the two modes through probability factor to achieve smooth switching under different node density scenes. The simulation shows that the proposed scheme can effectively balance the network overhead and the content discovery rate under different node density. Moreover, the performance of transmission efficiency and the data packet arrival rate can be significantly improved.
作者
陈秉试
CHEN Bing-shi(Xiamen Ocean Vocational College,Xiamen Fujian 361012,China)
出处
《通信技术》
2018年第11期2669-2674,共6页
Communications Technology
关键词
车载信息中心网络
节点密度
自适应
内容发现
平滑切换
vehicular information centfic network
node density
adaptive
content discovery
smooth handoff
