暂态社区感知的ICWN数据转发机制

Transient community awared data forwarding mechanism for intermittent connected wireless network

为了有效解决间断连接无线网络中的数据转发问题,提出了一种暂态社区感知的数据转发机制,运用半马尔可夫链模型描述节点在多个地理位置间的转移过程,预测节点在未来相遇的时间概率分布,确定节点相遇位置和时间,为下一跳中继节点的选择提供了理论依据。实验数值表明,与传统算法相比,所提机制能有效提高节点相遇预测的准确性,在数据成功投递率和传输时延等性能上都有较大的提升。

In order to solve the problem of data forwarding in intermittent connected wireless network effectively, a transient community awared data forwarding mechanism for intermittent connected wireless network（ICWN） was proposed. Utilizing the semi-Markov chain model, the transfer process of nodes＇ s between multiple geographic locations was described and the time probability distribution of nodes＇ encountering in the future was predicted, then the encountering time and locations could be obtained, which provided theoretical basis for the selection of next relay node. Experiment results show that the proposed mechanism can effectively improve the forecasting accuracy of nodes＇ encounter and has a great improvement in the data delivery ratio and transmission delay.