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将灰色-马尔科夫位置预测模型与基于节点活跃系数的喷射-等待路由算法相结合,提出了适用于容迟网络的基于灰色-马尔科夫预测模型的路由算法.该算法利用灰色-马尔科夫链预测模型预测目的节点的位置,提出节点活跃系数并利用节点活跃系数来量化节点活动性的强弱,算法以预测位置为基准,基于节点活跃系数喷射转发数据包,增强了数据包扩散的方向性.仿真结果表明,与Epidemic算法以及传统的喷射-等待路由算法相比,提出的路由算法具有更好的网络性能.
The gray-Markov location prediction model is combined with the jet-wait routing algorithm based on the node activity coefficient to propose a gray-Markov-based routing algorithm which is suitable for the capacity-tolerant network. The algorithm uses Gray-Markov Predict the location of the destination node by the chain prediction model, propose the activity coefficient of the node and use the activity coefficient of the node to quantify the activity of the node. The algorithm predicts the location as a benchmark, and based on the activity coefficient of the node, it injects and forwards the data packet to enhance the data packet diffusion The simulation results show that the proposed routing algorithm has better network performance than the Epidemic algorithm and the traditional jet-wait routing algorithm.