移动机会网络中面向聚集点的数据转发策略

Data forwarding strategy based on gathering point in mobile opportunistic networks

移动机会网络利用节点接触进行数据转发的特点非常适合实际环境下的自主组网需求,促使了大量应用的产生。考虑到这些节点通常是由人或车来携带,人类行为的参与是这些应用成功的关键因素之一。探讨了人类的移动行为对机会网络中数据转发性能的影响,发现人们总是在一些热点区域之间往返,而很少访问其他区域。基于上述现象,提出了一种基于人类聚集点的机会路由策略——聚集分发策略(GS)。GS假设每一个热点区域都配置一个接入点(AP),相对于其他移动节点,接入点有着较高的对信息进行缓存和分发的权限。理论分析证实GS的平均投递延迟低于喷雾-等待机制,仿真结果显示GS同时提高了数据包投递率。

The characteristic that mobile opportunistic network exploits node contacts to forward packets is very suitable for the Ad Hoc networking requirements in actual environment, thus a large number of applications are produced. Considering the smart devices are generally carried by people or integrated in vehicles, human involvement is one of the most important factors for the success of these applications, this paper explored the influence of human mobility on data communication. The authors observed that people always visited hot regions, while other regions were visited less frequently. Motivated by this observation, the GS （ Gathering Spray）, a human gathering point assisted spraying scheme for mobile opportunistic scenarios was proposed. GS assumed each hot region configured a Access Point （AP）, which had a higher priority to cache and spray messages than other mobile nodes. Theoretical analysis verifies that GS achieves a lower mean delivery delay than the Spray- Wait, and the simulation results show that GS improves the packet delivery ratio simultaneously.