基于人类真实场景的分时段的机会网络移动模型

Period dividing opportunistic networks mobility model based on human realistic scenarios

针对现有移动模型不能有效反映出节点移动过程中的行为特性,提出了一种基于人类真实场景中的分时段的机会网络移动模型,通过建立节点日常移动模型,依据时间段划分节点子移动模型,分析了基于人类真实场景的机会网络移动模型下的节点行为特性,包括节点平均停留时间、不同时段社区节点个数以及目的变换频率等。并与已采集到的真实移动数据和其他移动模型进行仿真比较。仿真结果充分表明,在节点相遇间隔时间等方面,该模型贴近真实场景中节点所表现出的行为特性,并且优于其他节点移动模型。

Existing mobility models are unable to effectively reflect the behavioral trait of nodes during movement, so the period dividing opportunistic network mobility model based on human realistic scenarios was proposed, by setting up a node daily mobility model and dividing node mobility submodels according to time segment. The features of node activities based on the realistic human scenario and the opportunistic network mobility model were analyzed, including the node average detention time, the number of nodes in a community during different time interval and the changing frequency of destinations etc. And a contrast has been made between the collected realistic mobility data and data from other mobility models in the way of simulation. The results of simulation show that with respect to node meeting time interval etc., the performances of the model are closer to the activity features in realistic scenarios than other node mobility models.