兴趣和编码感知机会网络多源多宿数据分发

针对当前机会网络数据分发协议面向的主要是单源多宿数据分发模型的问题,提出了一种多源多宿机会网络数据分发模型,设计了一种兴趣和编码感知(ICA,interest-and coding-aware)的机会网络数据分发协议。首先,由中继节点将满足同一兴趣的不同数据源进行流间随机线性网络编码后转发;其次,拥有相同兴趣的节点彼此交换兴趣编码数据,当节点收到足够多的满足同一兴趣的线性无关编码包时,解码得到多个感兴趣的原始数据;最后,对多源多宿机会网络数据分发进行了ONE仿真。结果表明,和基于ER的多源多宿数据分发相比,ICA能通过较小的缓存、网络带宽和网络负载获得较低的分发时延。研究结果可为机会网络中的网络数据分发机制提供一种可行、高效的解决方案。

Interest-and coding-aware multi-source and multi-destination data dissemination for opportunistic networks

Aiming at the currently problem that data dissemination protocols in opportunistic networks are mainly based on single-source and multi-destination model, a multi-source and multi-destination data dissemination model for opportunistic networks is proposed, and an interest-and coding-aware (ICA) data dissemination protocol is designed.First, relays encode the different data flows which satisfy the same interest via inter-flow random linear network coding and then forward them. Second, nodes sharing the same interest exchange their interest coding data with each other. Once receiving enough independent coding packets which satisfy the same interest, the nodes decode the coding packets and obtain the original interest data. At last, ONE simulation is conducted for the multi-source and multi-destination data dissemination. The result shows that compared with the data dissemination protocol based on ER, ICA can obtain lower delay while consuming fewer buffers, less network bandwidth and network cost. The research result provides a feasible and efficient solution for opportunistic networks data dissemination mechanism.