移动医疗大数据平台下基于社交网络中节点社会效用和可靠性的数据转发算法

SRSU: New Data Forwarding Algorithm Based on Node Social Utility and Reliability in Social Networks on Mobile Medical Large Data Platform

移动医疗社交网络现如今已成为无线通信领域的一个热点问题。特别是在有限的网络资源与大量医疗数据信息等待传输的背景下,对移动医疗社交网络中高效的数据转发算法的研究显得尤为重要。通过分析移动医疗社交网络中节点的移动规律和属性,提出了一种基于节点社会效用和可靠性的数据转发算法。该算法在节点社会效用和可靠性定义的基础上,通过分析所遇节点与目的社区的关系,选择合适的中继节点进行数据的转发。最后利用计算机进行实验仿真,实验结果表明转发算法与Epidemic和Label算法相比,能够明显降低网络中的数据包副本数并且传递率优于Label算法。

Mobile medical social network now has become a hot issue in the field of wireless communications.Especially in the background of the limited network resources and a large number of medical data information waiting for transmission, it is important for the research of efficient data forwarding algorithm in mobile medical social networks. The paper analyzed the movement and properties of node in mobile medical social network and put forward a new data forwarding algorithm based on node social utility and reliability in social networks on mobile medical large data platform from the social attribute of the node. The algorithm analyzed the relation of encountered node and destination community, and then chose the appropriate relay node for data forwarding based on the definition of node social utility and reliability. Finally, the experimental results showed that our algorithm could obviously reduce the data packets replications of the networks compared with the existing Epidemic and Label algorithm and the delivery was better than that of Label by computer.