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在容迟网络中,掌握节点之间的接触间隔时间(ICT)的特性,能够为网络性能分析、路由协议设计以及算法优化等研究提供理论指导和帮助,但目前的ICT模型往往缺乏普适性.通过对节点运动做出一般性假设,基于可靠性数学方法,给出了一个基于ICT分布的接触模型——IDCM.该模型证明了两个移动节点之间的ICT服从指数分布,且指数分布的参数仅与两个节点的历史接触次数和累积ICT有关.在随机方向(RD)移动模型、随机路点(RWP)移动模型、北京市出租车网络、口袋交换网4个数据集上进行了仿真验证,并与基于统计拟合参数的指数分布模型进行对比.仿真实验结果表明,IDCM能够准确反映节点对之间的接触间隔时间分布,且模型准确性优于基于统计拟合参数的指数分布模型.
In the capacity-tolerant network, grasping the characteristics of the inter-node contact time interval (ICT) can provide theoretical guidance and help for the research of network performance analysis, routing protocol design and algorithm optimization. However, the current ICT models often lack universality Based on the general assumption of nodal motion and based on reliability mathematical method, a contact distribution model based on ICT distribution - IDCM is proposed, which shows that the ICT between two mobile nodes follows an exponential distribution with exponential distribution Is only related to the number of historical contacts and cumulative ICT of two nodes.We conducted a series of experiments on four datasets of random directional (RD) moving model, random moving point (RWP) moving model, Beijing taxi network and pocket switching network The simulation results show that IDCM can accurately reflect the contact interval time distribution between node pairs and the model accuracy is better than the exponential distribution based on statistical fitting parameters model.