Sage Journals: Discover world-class research

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.

Keywords

Delay Tolerant Networks monitoring system architecture routing algorithm urban environments

Get full access to this article

View all access options for this article.

References

Morens

D.M.

Folkers

G.K.

and Fauci

A.S.

, The challenge of emerging and re-emerging infectious diseases, Nature 430(6996) (2004), 242–249.

Peiris

J.S.M.

et al., The severe acute respiratory syndrome, New England Journal of Medicine 349(25) (2003), 2431–2441.

Yang

Sugimoto

J.D.

Halloran

M.E.

et al., The transmissibility and control of pandemic influenza A (H1N1) virus, Science 326(5953) (2009), 29–733.

Wright

D.E.

, Influenza viruses, Nelson Textbook of Pediatrics of Pediatrics 4(2) (2004), 583–588.

Anderson

R.M.

Fraser

Ghani

A.C.

et al., Epidemiology, transmission dynamics and control of SARS: the 2002–2003 epidemic, Philosophical Transactions Biological Sciences 359(1447) (2004), 1091–105.

Rainer

T.H.

Cameron

P.S.

Smit

et al., Evaluation of WHO criteria for identifying patients with severe acute respiratory syndrome out of hospital: prospective observational study, Bmj British Medical Journal 326(7403) (2003), 1354–1358.

Wang

et al., A Survey on Geographic Routing Protocols in Delay/Disruption Tolerant Networks (DTNs), International Journal of Distributed Sensor Networks 2016(6).

Fall

, Delay-Tolerant Network Architecture for Challenged Internets, Sigcomm03 Aug 33(4) (2003), 27–34.

J.G.

Srivastava

M.B.

et al., Wireless Sensor Networks for Healthcare, Proceedings of the IEEE 98(11) (2010), 1947–1960.

10.

Lymberis

, Smart wearable systems for personalised health management: current R&D and future challenges, in: Engineering in Medicine and Biology Society International Conference of the IEEE, 2003, pp. 3716–3719.

11.

Ginsberg

et al., Swine influenza A (H1N1) infection in two children-Southern California, Morbidity and Mortality Weekly Report 58(15) (2009), 400–402.

12.

Prevention (CDC), Outbreak of swine-origin influenza A (H1N1) virus infection-Mexico, March-April 2009, Morbidity and Mortality Weekly Report 58(17) (2009), 467–470.

13.

Cao

et al., Clinical features of the initial cases of 2009 pandemic influenza A (H1N1) virus infection in China, New England Journal of Medicine 361(26) (2009), 2507–2517.

14.

Chan

et al., Smart wearable systems: Current status and future challenges, Artificial Intelligence in Medicine 56(3) (2012), 137–156.

15.

Pentland

, Healthwear: medical technology becomes wearable, Studies in Health Technology & Informatics 37(5) (2005), 42–49.

16.

Monton

Hernandez

J.F.

Blasco

J.M.

et al., Body area network for wireless patient monitoring, Iet Communications 2(2) (2008), 215–222.

17.

Vahdat

and Becker

, Epidemic Routing for Partially-Connected Ad Hoc Networks, Master Thesis, University of Duke, 2000.

18.

Lindgren

Doria

and Schelen

, Probabilistic routing in intermittently connected networks, in Service Assurance with Partial and Intermittent Resources (2004), 239–254.

19.

Peiris

J.M.

Poon

L.L.

and Guan

, Emergence of a novel swine-origin influenza A virus (S-OIV) H1N1 virus in humans, Journal of Clinical Virology 45(3) (2009), 169–173.

20.

Looker

et al., Influenza A (H1N1) in Victoria, Australia: a community case series and analysis of household transmission, PloS One 5(10) (2010), e13702.

21.

W.Z.

et al., DTN Routing with Fixed Stations Based on the Geographic Grid Approach in an Urban Environmen, Wireless Personal Communications (2015), 1–17.

22.

Khuwaja

A.K.

and Kadir

M.M.

, Gender differences and clustering pattern of behavioural risk factors for chronic non-communicable diseases: community-based study from a developing country, Chronic Illness 6(3) (2010), 163.

23.

Sharpey-Schafer

, The mechanism of syncope after coughing, British Medical Journal 2(4841) (1953), 860.

24.

Ibarra

, Network centrality, power, and innovation involvement: Determinants of technical and administrative roles, Academy of Management Journal 36(3) (1993), 471–501.

25.

Ekman

et al., Working day movement model, in: Proceedings of the 1st ACM SIGMOBILE Workshop on Mobility Models ACM, 2008, pp. 33–40.

26.

Keränen

Ott

and Kärkkäinen

, The ONE simulator for DTN protocol evaluation, in: Proceedings of the 2nd International Conference on Simulation Tools and Techniques, 2009, p. 55.

DTNs for monitoring of communicable diseases in urban environments

Abstract

Keywords

Get full access to this article

References