Direction Density-Based Secure Routing Protocol for Healthcare Data in Incompletely Predictable Networks

Jian Shen, Chen Wang, Chin Feng Lai, Anxi Wang, Han Chieh Chao

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


Healthcare data are becoming increasingly important in the life of people. By utilizing healthcare data in a proper and secure manner, the elderly may avoid some sudden diseases, whereas young people can monitor their health condition. In the hospital, for certain sizes of detection objects, an effective method of data transmission becomes very significant. In view of the movement of patients in the hospital, we introduce a type of network called incompletely predictable networks to describe such scenarios. The patients move in a certain trend or are only active in a certain limited range. To achieve high performance when transmitting healthcare data in such networks, a novel protocol called the direction density-based secure routing protocol is proposed in this paper. Both the moving direction and the influence of node group movement are considered. The novel protocol innovatively takes the density of the node moving direction into consideration, which makes full use of the relationships among the moving individuals. Moreover, the design of the secure routing with authenticated message transmission ensures secure healthcare data communication. The simulation shows that our protocol achieves a high packet delivery ratio with low overhead and end-to-end delay.

Original languageEnglish
Article number7779130
Pages (from-to)9163-9173
Number of pages11
JournalIEEE Access
Publication statusPublished - 2016

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)


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