Affiliations: [a] College of Communication Engineering, Chengdu University of Information Technology, Chengdu 610225, Sichuan, China | [b] School of Computer Science, Sichuan University, Chengdu 610065, Sichuan, China | [c] Infectious Diseases Center, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China | [d] School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, Sichuan, China
Correspondence:
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Corresponding author: Wenzao Li, College of Communication Engineering, Chengdu University of Information Technology, Chengdu 610225, Sichuan, China. E-mail: [email protected].
Abstract: As a high density and mobility area of population, urban areas need monitoring of communicable diseases desperately. In additional, there are some smart bracelets equipped with diverse sensors, which can provide the continuously individual health analysis of physiological parameters. Therefore, some individual abnormal signal, such as body temperature, heart rate, private pulse and other signals can be detected after a short-period time. Delay Tolerant Networks (DTNs) becoming mature enough to be used for the outbreak of communicable diseases observation. This paper presents a monitoring system architecture for sudden public health incidents in urban environments, and a routing algorithm named Historical Probability based Relay Selection (HPRS) is introduced, which is more suitable than other existing routing algorithms such as Epidemic and Prophet algorithms. Simulation results suggest that HPRS outperforms Direct Delivery, Epidemic, and Prophet routing for communicable diseases monitoring system in urban environments.
