容迟移动传感器网络利用节点间的链路在时间和空间上的连通关系进行数据传递.移动节点的接触具有不确定性,本文提出一种基于节点时空维度相遇特性的接触概率预测方法,在节点获得的时空信息不够充分的场景下,引入区间数的不确定性理论对节点间接触的不确定性进行描述,并提出接触概率的区间数比较方法.在此基础上提出一种预测辅助的动态多副本数据传输机制,该机制降低了接触不确定性对可靠数据传输产生的影响,提高了数据成功转发率.
Data delivery in delay tolerant mobile sensor networks relies on the link which is connected both in time and space. The contacts of mobile nodes have the characteristic of uncertainty. In order to improve the reliability of data delivery, we propose a meth- od to predict the probability of nodes contacts which is based on the meeting features in time and space scale. In order to describe the uncertainty of nodes contacts in the scenario with inadequate spatio-temporal information, the uncertainty theory of interval number is introduced and a method of comparing contacts probability is proposed. On this basis, a prediction assisted dynamic multi-copy data delivery mechanism is proposed. The proposed scheme reduces the effect of contacts uncertainty on reliable data delivery, achieves a relatively high data delivery ratio.