一种基于混合社区的移动机会网络数据传输机制

由人携带或使用智能设备组成的移动机会网络采用"存储-携带-转发"的通信机制,通过中继转发来实现节点之间的数据传递。为了改善网络性能,往往需要借助节点的社会属性来进行中继选择和制定转发策略。然而,在已有的传输机制中,往往只是利用节点的部分社会属性,不能完全反映出节点之间的社会关系。为此,提出了一种新的基于混合社区的数据传输机制,并给出了混合社区的内涵、混合社区的构建方法和基于混合社区的数据传输算法。基于几种真实轨迹数据集的实验结果表明,与已有的几种经典路由算法相比,该方法传输成功率较高,传输延迟较短,性能更好。

A packet transmission mechanism based on hybrid social groups in mobile opportunistic networks

Mobile opportunistic networks which are formed by human carried intelligent devices, implement the packet transmission between nodes by taking advantages of the relay forwarding based on the “store carry forward” principle of communication. In order to improve the network performance, the social attributes of nodes are often used to select the relay and make data forwarding decisions. However, the existing packet transmission mechanisms usually use partial social attributes of nodes therefore the social relationship between the nodes cannot be fully reflected. We propose a new packet transmission mechanism based on hybrid social groups in mobile opportunistic networks. We define the concept of hybrid social group, provide the construction method of hybrid social groups and design a packet transmission algorithm. Experiments on several real data sets demonstrate that the proposed mechanism has a higher transmission success rate, a shorter transmission delay and a better performance in comparison with the existing social group routing schemes.