Fog Computing in Healthcare-A Review and Discussion

IEEE Access

Volumn 5, Issue , 2017, Pages 9206-9222

  Kraemer, Frank Alexander ^a   Braten, Anders Eivind ^a   Tamkittikhun, Nattachart ^a   Palma, David ^a  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

Body sensor networks; fog computing; health information management; healthcare; internet of things; sensor devices; wireless sensor networks

Indexed keywords

BODY SENSOR NETWORKS; COMPUTATION THEORY; FOG; HEALTH CARE; INFORMATION MANAGEMENT; INTERNET OF THINGS; WIRELESS SENSOR NETWORKS;

APPLICATION SPECIFIC; ARCHITECTURAL STYLE; COMPUTATION TASKS; HEALTH CARE INFORMATICS; HEALTH INFORMATION MANAGEMENT; PRIVACY CONCERNS; RESEARCH AND DEVELOPMENT; SENSOR DEVICE;

DISTRIBUTED COMPUTER SYSTEMS;

EID: 85028008668     PISSN: None     EISSN: 21693536     Source Type: Journal    
DOI: 10.1109/ACCESS.2017.2704100     Document Type: Review

References (96)

1. E. Topol, The Creative Destruction of Medicine. New York, NY, USA: Basic Books, 2013.
2. (Nov. 2016). BioStamp. [Online]. Available: https://www. mc10inc. com
3. D. Y. Kang, Y.-S. Kim, G. Ornelas, M. Sinha, K. Naidu, and T. P. Coleman, "Scalable microfabrication procedures for adhesive-integrated fiexible and stretchable electronic sensors, " Sensors, vol. 15, no. 9, pp. 23459-23476, Sep. 2015.
4. N. M. Farandos, A. K. Yetisen, M. J. Monteiro, C. R. Lowe, and S. H. Yun, "Contact lens sensors in ocular diagnostics, " Adv. Healthcare Mater., vol. 4, no. 6, pp. 792-810, Apr. 2015.
5. Z. Obermeyer and E. J. emanuel, "Predicting the future Big data, machine learning, and clinical medicine, " New england J. Med., vol. 375, no. 13, pp. 1216-1219, Sep. 2016.
6. I. Corporation, "Bigger data for better healthcare, " Tech. Rep., Oct. 2016.
7. IntelliVue Telemetry System Infrastructure Installation and Service Guide, 2nd ed, Philips, New York, NY, USA, Jun. 2007. [Online]. Available: https://manualslib. com
8. G. Montenegro, J. Hui, D. Culler, and N. Kushalnagar, Transmission of IPv6 Packets Over IEEE 802. 15. 4 Networks, document RFC 4944, Oct. 2015. [Online]. Available: https://rfc-editor. org/rfc/rfc4944. txt
9. S. Deering and R. Hinden, Internet Protocol, Version 6 (IPv6) Specifi-cation, document RFC 2460, Dec. 1998. [Online]. Available: https://rfceditor. org/rfc/rfc2460. txt
10. H. Alemdar and C. ersoy, "Wireless sensor networks for healthcare: A survey, " Comput. Netw., vol. 54, no. 15, pp. 2688-2710, Oct. 2010.
11. S. Movassaghi, M. Abolhasan, J. Lipman, D. Smith, and A. Jamalipour, "Wireless body area networks: A survey, " IEEE Commun. Surveys Tuts., vol. 16, no. 3, pp. 1658-1686, 3rd Quart., 2014.
12. Y. Yin, Y. Zeng, X. Chen, andY. Fan, "The Internet of Things in healthcare: An overview, " J. Ind. Inf. Integr., vol. 1, pp. 3-13, Mar. 2016.
13. C. Orwat, A. Graefe, and T. Faulwasser, "Towards pervasive computing in health care-A literature review, " BMC Med. Informat. Decision Making, vol. 8, no. 1, p. 26, 2008.
14. B. M. C. Silva, J. J. P. C. Rodrigues, I. de la Torre Díez, M. López-Coronado, and K. Saleem, "Mobile-health: A review of current state in 2015, " J. Biomed. Informat., vol. 56, pp. 265-272, Aug. 2015.
15. F. Bonomi, R. Milito, J. Zhu, and S. Addepalli, "Fog computing and its role in the Internet of Things, " in Proc. 1st ed. MCC Workshop Mobile Cloud Comput. (MCC), New York, NY, USA, 2012, pp. 13-16.
16. "Predix architecture and services, " General electric, Boston, MA, USA, Whitepaper, Sep. 2015, accessed on Nov. 11, 2016. [Online]. Available: https://cloudfront. net
17. Y. C. Hu, M. Patel, D. Sabella, N. Sprecher, and V. Young, "Mobile edge computing-A key technology towards 5G, " eur. Telecommun. Standards Inst., Sophia Antipolis, France, White Paper 11, 1st ed., Sep. 2016. Online]. Available: http://etsi. org
18. M. Satyanarayanan, P. Bahl, R. Caceres, and N. Davies, "The case for VMbased cloudlets in mobile computing, " IEEE Pervasive Comput., vol. 8, no. 4, pp. 14-23, Oct. 2009.
19. N. Fernando, S. W. Loke, and W. Rahayu, "Mobile cloud computing: A survey, " Future Generat. Comput. Syst., vol. 29, no. 1, pp. 84-106, 2013.
20. C. Perera, D. S. Talagala, C. H. Liu, and J. C. estrella, "energy-efficient location and activity-aware on-demand mobile distributed sensing platform for sensing as a service in IoT clouds, " IEEE Trans. Comput. Social Syst., vol. 2, no. 4, pp. 171-181, Dec. 2015.
21. M. Yannuzzi, R. Milito, R. Serral-Gracia, D. Montero, and M. Nemirovsky, "Key ingredients in an IoT recipe: Fog computing, cloud computing, and more fog computing, " in Proc. 19th Int. Workshop Comput. Aided ModEl-ing Design Commun. Links Netw. (CAMAD), Dec. 2014, pp. 325-329.
22. S. Yi, Z. Hao, Z. Qin, and Q. Li, "Fog computing: Platform and applications, " in Proc. 3rd IEEE Workshop Hot Topics Web Syst. Technol. (HotWeb), Nov. 2015, pp. 73-78.
23. R. Deng, R. Lu, C. Lai, and T. H. Luan, "Towards power consumptiondelay tradeoff by workload allocation in cloud-fog computing, " in Proc. IEEE Int. Conf. Commun. (ICC), Jun. 2015, pp. 3909-3914.
24. L. M. Vaquero and L. Rodero-Merino, "Finding your way in the fog, " ACM SIGCOMM Comput. Commun. Rev., vol. 44, no. 5, pp. 27-32, 2014.
25. Y. Cao, S. Chen, P. Hou, and D. Brown, "FAST: A fog computing assisted distributed analytics system to monitor fall for stroke mitigation, " in Proc. IEEE Int. Conf. Netw., Archit. Storage (NAS), Aug. 2015, pp. 2-11.
26. K. Xu, Y. Li, and F. Ren, "An energy-efficient compressive sensing framework incorporating online dictionary learning for long-term wireless health monitoring, " in Proc. IEEE Int. Conf. Acoust., Speech Signal Process. (ICASSP), Shanghai, China, May 2016, pp. 804-808.
27. T. N. Gia, M. Jiang, A.-M. Rahmani, T. Westerlund, P. Liljeberg, and H. Tenhunen, "Fog computing in healthcare Internet of Things: A case study on eCG feature extraction, " in Proc. IEEE Int. Conf. Comput. Inf. Technol., Ubiquitous Comput. Commun., Dependable, Auto. Secur. Com-put., Pervasive Intell. Comput. (CIT/IUCC/DASC/PICOM), Oct. 2015, pp. 356-363.
28. M. Tentori and J. Favela, "Activity-aware computing in mobile collaborative working environments, " in Proc. 13th Int. Conf. Groupw., Design Implement. (CRIWG), Berlin, Germany, Sep. 2007, pp. 337-353.
29. L. Catarinucci et al., "An IoT-aware architecture for smart healthcare systems, " IEEE Internet Things J., vol. 2, no. 6, pp. 515-526, Dec. 2016.
30. The Cloud Standards Customer Council (CSCC), "Impact of cloud computing on healthcare, " RefErence architecture, Version 1. 0, Needham, MA, USA, May 2016. [Online]. Available: http://cloud-council. org
31. G. J. Mandellos, G. V. Koutelakis, T. C. Panagiotakopoulos, M. N. Koukias, and D. K. Lymberopoulos, "Requirements and solutions for advanced telemedicine applications, " in Biomedical engineering. Rijeka, Croatia: InTech, Oct. 2009.
32. M. Bertini, L. Marcantoni, T. Toselli, and R. Ferrari, "Remote monitoring of implantable devices: Should we continue to ignore it?' Int. J. Cardiol., vol. 202, pp. 368-377, Jan. 2016.
33. E. MacIntosh, N. Rajakulendran, Z. Khayat, and A. Wise. (Mar. 2016). Transforming Health: Shifting From Reactive to Proactive and Predictive Care. [Online]. Available: https://www. marsdd. com/newsand-insights/transforming-health-shifting-from-reactive-to-proactive-andpredictive-care/
34. A. Tanaka, F. Utsunomiya, and T. Douseki, "Wearable self-powered diaper-shaped urinary-incontinence sensor suppressing response-time variation with 0. 3 V start-up converter, " IEEE Sensors J., vol. 16, no. 10, pp. 3472-3479, May 2016.
35. (Jul. 2012). Digital Pills Make Their Way to Market. [Online]. Available: http://blogs. nature. com/news/2012/07/digital-pills-make-their-wayto-market. html
36. (Nov. 2008). Philips' Intelligent Pill Targets Drug Development and Treatment for Digestive Tract Diseases. [Online]. Available: http://phys. org/news/2008-11-philips-intelligent-pill-drug-treatment. html
37. R. eide, "Lowenergy wireless eCG: An exploration of wireless electrocardiography and the utilization of low energy sensors for clinical ambulatory patient monitoring, " M. S. thesis, Dept. Comput. Inf. Sci., Norwegian Univ. Sci. Technol., Trondheim, Norway, Jun. 2016.
38. M. Paksuniemi, H. Sorvoja, E. Alasaarela, and R. Myllyla, "Wireless sensor and data transmission needs and technologies for patient monitoring in the operating room and intensive care unit, " in Proc. 27th Annu. Int. Conf. eng. Med. Biol. Soc. (IEEE-eMBS), Jan. 2005, pp. 5182-5185.
39. Á. Alesanco and J. García, "Clinical assessment of wireless eCG transmission in real-time cardiac telemonitoring, " IEEE Trans. Inf. Technol. Biomed., vol. 14, no. 5, pp. 1144-1152, Sep. 2010.
40. R. Zhang, S. Bernhart, and O. Amft, "Diet eyeglasses: Recognising food chewing using emg and smart eyeglasses, " in Proc. IEEE 13th Int. Conf. Wearable Implant. Body Sensor Netw. (BSN), Jun. 2016, pp. 7-12.
41. R. N. Khushaba, S. Kodagoda, M. Takruri, and G. Dissanayake, "Toward improved control of prosthetic fingers using surface electromyogram (eMG) signals, " expert Syst. Appl., vol. 39, no. 12, pp. 10731-10738, 2012.
42. G. P. Fettweis, "The tactile Internet: Applications and challenges, " IEEE Veh. Technol. Mag., vol. 9, no. 1, pp. 64-70, Mar. 2016.
43. R. Steele and A. Lo, "Telehealth and ubiquitous computing for bandwidthconstrained rural and remote areas, " Pers. Ubiquitous Comput., vol. 17, no. 3, pp. 533-543, Mar. 2013.
44. J. Sametinger, J. Rozenblit, R. Lysecky, and P. Ott, "Security challenges for medical devices, " Commun. ACM, vol. 58, no. 4, pp. 74-82, Mar. 2015.
45. Y. Cao, S. Chen, P. Hou, and D. Brown, "Fast: A fog computing assisted distributed analytics system to monitor fall for stroke mitigation, " in Proc. IEEE Int. Conf. Netw., Archit. Storage (NAS), Aug. 2015, pp. 2-11.
46. K. Wac, M. S. Bargh, B. J. F. V. Beijnum, R. G. A. Bults, P. Pawar, and A. Peddemors, "Power-and delay-awareness of health telemonitoring services: The mobihealth system case study, " IEEE J. Sel. Areas Commun., vol. 27, no. 4, pp. 525-536, May 2009.
47. A. Monteiro, H. Dubey, L. Mahler, Q. Yang, and K. Mankodiya, "Fit: A fog computing device for speech tele-treatments, " in Proc. IEEE Int. Conf. Smart Comput. (SMARTCOMP, May 2016, pp. 1-3.
48. R. Craciunescu, A. Mihovska, M. Mihaylov, S. Kyriazakos, R. Prasad, and S. Halunga, "Implementation of Fog computing for reliable e-health applications, " in Proc. 49th Asilomar Conf. Signals, Syst. Comput., Nov. 2015, pp. 459-463.
49. G. López, V. Custodio, and J. I. Moreno, "LOBIN: e-textile and wirelesssensor-network-based platform for healthcare monitoring in future hospital environments, " IEEE Trans. Inf. Technol. in Biomed., vol. 14, no. 6, pp. 1446-1458, May 2016.
50. M.-P. Hosseini, A. Hajisami, and D. Pompili, "Real-time epileptic seizure detection from eeg signals via random subspace ensemble learning, " in Proc. IEEE Int. Conf. Auto. Comput. (ICAC), Jul. 2016, pp. 209-218.
51. E. A. Oladimeji, L. Chung, H. T. Jung, and J. Kim, "Managing security and privacy in ubiquitous ehealth information interchange, " in Proc. 5th Int. Conf. Ubiquitous Inf. Manage. Commun. (ICUIMC), New York, NY, USA, 2011, pp. 26:1-26:10. [Online]. Available: http://doi. acm. org/10. 1145/1968613. 1968645
52. X. Masip-Bruin, E. Marín-Tordera, A. Alonso, and J. Garcia, "Fog-tocloud computing (F2C): The key technology enabler for dependable ehealth services deployment, " in Proc. Medit. Ad Hoc Netw. Workshop (Med-Hoc-Net), Jun. 2016, pp. 1-5.
53. K. Zhang, X. Liang, M. Baura, R. Lu, and X. Shen, "PHDA: A priority based health data aggregation with privacy preservation for cloud assisted WBANs, " Inf. Sci., vol. 284, pp. 130-141, Nov. 2014.
54. M. S. Hossain and G. Muhammad, "Cloud-assisted speech and face recognition framework for health monitoring, " Mobile Netw. Appl., vol. 20, no. 3, pp. 391-399, Jun. 2015.
55. B. Mei, W. Cheng, and X. Cheng, "Fog computing based ultraviolet radiation measurement via smartphones, " in Proc. 3rd IEEEWorkshop Hot Topics Web Syst. Technol. (HotWeb), Nov. 2015, pp. 79-84.
56. H. Dubey, J. Yang, N. Constant, A. M. Amiri, Q. Yang, and K. Makodiya, "Fog data: enhancing telehealth big data through fog computing, " in Proc. ASe BigData SocialInform. (ASe BD&SI), Oct. 2015, p. 14.
57. H. Nejati, V. Pomponiu, T.-T. Do, Y. Zhou, S. Iravani, and N.-M. Cheung, "Smartphone and mobile image processing for assisted living: Healthmonitoring apps powered by advanced mobile imaging algorithms, " IEEE Signal Process. Mag., vol. 33, no. 4, pp. 30-48, Jul. 2016.
58. K. Øyri, I. Balasingham, E. Samset, J. O. Høgetveit, and E. Fosse, "Wireless continuous arterial blood pressure monitoring during surgery: A pilot study, " Anesthesia Analgesia, vol. 102, no. 2, pp. 478-483, 2006.
59. H. Chen and H. Liu, "A remote electrocardiogram monitoring system with good swiftness and high reliablility, " Comput. elect. eng., vol. 53, pp. 191-202, Jul. 2016.
60. Y. M. Huang, M. Y. Hsieh, H. C. Chao, S. H. Hung, and J. H. Park, "Pervasive, secure access to a hierarchical sensor-based healthcare monitoring architecture in wireless heterogeneous networks, " IEEE J. Sel. Areas Commun., vol. 27, no. 4, pp. 400-411, May 2009.
61. J. Granados, A.-M. Rahmani, P. Nikander, P. Liljeberg, and H. Tenhunen, "Towards energy-efficient HealthCare: An Internet-of-Things architecture using intelligent gateways, " in Proc. 4th Int. Conf. Wireless Mobile Com-mun. Healthcare (ICST), Nov. 2014, pp. 279-282.
62. C. Rotariu, V. Manta, and H. Costin, "Wireless remote monitoring system for patients with cardiac pacemakers, " in Proc. Int. Conf. expo. elect. Power eng. (ePe), Oct. 2012, pp. 845-848.
63. J. S. Preden, K. Tammemäe, A. Jantsch, M. Leier, A. Riid, and E. Calis, "The benefits of self-awareness and attention in fog and mist computing, " Computer, vol. 48, no. 7, pp. 37-45, Jul. 2015.
64. IEEE Standard for Local and Metropolitan Area Networks. Part 15. 6: Wireless Body Area Networks, IEEE Computer Society, IEEE Standard 802. 15. 6-2012, Feb. 2012.
65. R. Vauche, S. Bourdel, J. Gaubert, N. Dehaese, and H. Barthelemy, "emitters and receivers for impulse radio ultra-wideband and their healthcare applications, " in Proc. IEEE Int. Conf. Ubiquitous Wireless Broadband (ICUWB), Oct. 2015, pp. 1-5.
66. R. K. Dokania, X. Y. Wang, S. G. Tallur, and A. B. Apsel, "A low power impulse radio design for body-area-networks, " IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 58, no. 7, pp. 1458-1469, Jul. 2011.
67. H. Lee, H. Cho, and H.-J. Yoo, "A 33 -w/node duty cycle controlled hbc transceiver system for medical ban with 64 sensor nodes, " in Proc. IEEE Custom Integr. Circuits Conf., Sep. 2014, pp. 1-8.
68. P. K. Manchi, R. Paily, and A. K. Gogoi, " Design and implementation of low-power digital baseband transceivers for IEEE802. 15. 6 standard, " in Proc. 29th Int. Conf. VLSI Design 15th Int. Conf. embedded Syst. (VLSID), Jan. 2016, pp. 581-582.
69. K. Nair et al., "Optimizing power consumption in iot based wireless sensor networks using bluetooth low energy, " in Proc. Int. Conf. Green Comput. Internet Things (ICGCIoT), 2015, pp. 589-593.
70. S. Mijovic, R. Cavallari, and C. Buratti, "experimental characterisation of energy consumption in body area networks, " in Proc. IEEE 2nd World Forum Internet Things (WF-IoT), 2015, pp. 514-519.
71. C.-C. Chen et al., "Low-cost electronic dose counter for pressurized metered dose inhaler, " in Proc. IEEE Int. Conf. Consum. electron.-Taiwan, Jun. 2015, pp. 400-401.
72. K. Øyri, "Feasibility of short-range wireless monitoring in critical care environments, " Ph. D. dissertation, Inst. Clinical Medicine, Univ. Oslo., Oslo, Norway, Aug. 2015.
73. M. S. Gordon, D. A. Jamshidi, S. A. Mahlke, Z. M. Mao, and X. Chen, "COMeT Code of oad by migrating execution transparently, " in Proc. OSDI, 2012, pp. 93-106.
74. Y. Xu, V. Mahendran, and S. Radhakrishnan, "Towards SDN-based fog computing: MQTT broker virtualization for effective and reliable delivery, " in Proc. 8th Int. Conf. Commun. Syst. Netw. (COMSNeTS), Jan. 2016, pp. 1-6.
75. W. Hu et al., "Quantifying the impact of edge computing on mobile applications, " in Proc. 7th ACM SIGOPS Asia-Pacific Workshop, New York, NY, USA, 2016, pp. 1-8.
76. B. Tang, Z. Chen, G. Hefferman, T. Wei, H. He, and Q. Yang, "A hierarchical distributed fog computing architecture for big data analysis in smart cities, " in Proc. ASe BigData SocialInform. (ASe BD&SI), New York, NY, USA, 2015, pp. 28:1-28:6.
77. M. Aazam and E.-N. Huh, "Fog computing and smart gateway based communication for cloud of things, " in Proc. 2nd Int. Conf. Future Internet Things Cloud (FiCloud), May 2016, pp. 464-470.
78. A. S. Gomes et al., "edge caching with mobility prediction in virtualized LTe mobile networks, " Future Generat. Comput. Syst., vol. 70, pp. 148-162, May 2016.
79. H. S. Gunawi et al., "Why does the cloud stop computing?' in Proc. 7th ACM Symp., New York, NY, USA, 2016, pp. 1-16.
80. C. C. Byers and P. Wetterwald, "Fog computing: Distributing data and intelligence for resiliency and scale necessary for IoT, " in Proc. Ubiquity, Nov. 2015, pp. 1-12.
81. N. Davies, N. Taft, M. Satyanarayanan, S. Clinch, and B. Amos, "Privacy mediators: Helping IoT cross the chasm, " in Proc. 17th Int. Workshop Mobile Comput. Syst. Appl. (HotMobile), New York, NY, USA, 2016, pp. 39-44.
82. S. Yi, Z. Qin, and Q. Li, "Security and privacy issues of fog computing: A survey, " in Proc. WASA, 2015, pp. 685-695.
83. I. Stojmenovic and S. Wen, "The Fog computing paradigm: Scenarios and security issues, " in Proc. Fed. Conf. Comput. Sci. Inf. Syst. (FedCSIS), Sep. 2014, pp. 1-8.
84. R. Gennaro, C. Gentry, and B. Parno, "Non-interactive verifiable computing: Outsourcing computation to untrusted workers, " in Proc. CRYPTO, vol. 6223. 2010, pp. 465-482.
85. R. Hummen, H. Shafagh, S. Raza, T. Voig, and K. Wehrle, "Delegationbased authentication and authorization for the IP-based Internet of Things, " in Proc. 11th Annu. IEEE Int. Conf. Sens., Commun., Netw. (SeCON), Jun. 2014, pp. 284-292.
86. M. Vueinic, B. Tourancheau, F. Rousseau, A. Duda, L. Damon, and R. Guizzetti, "OSCAR: Object security architecture for the Internet of Things, " Ad Hoc Netw., vol. 32, pp. 3-16, Sep. 2015.
87. Y. Shi, S. Abhilash, and K. Hwang, "Cloudlet mesh for securing mobile clouds from intrusions and network attacks, " in Proc. 3rd IEEE Int. Conf. Mobile Cloud Comput., Services, eng. (MobileCloud), Mar. 2015, pp. 109-118.
88. V. Cerf and M. Senges, "Taking the Internet to the next physical level, " Computer, vol. 49, no. 2, pp. 80-86, Feb. 2016.
89. O. Salman, I. elhajj, A. Kayssi, and A. Chehab, "edge computing enabling the Internet of Things, " in Proc. IEEE 2nd World Forum Internet Things (WF-IoT), Dec. 2015, pp. 603-608.
90. T. Zachariah, N. Klugman, B. Campbell, J. Adkins, N. Jackson, and P. Dutta, "The Internet of Things has a gateway problem, " in Proc. 16th Int. Workshop, New York, NY, USA, 2015, pp. 27-32.
91. M. Zhanikeev, "A cloud visitation platform to facilitate cloud federation and fog computing, " vol. 48, no. 5, pp. 80-83, 2015.
92. A. M. Rahmani et al., "exploiting smart e-health gateways at the edge of healthcare Internet-of-Things: A fog computing approach, " Future Generat. Comput. Syst., Feb. 2017. [Online]. Available: http://sciencedirect. com
93. O. Bibani et al., "A demo of IoT healthcare application provisioning in hybrid cloud/fog environment, " in Proc. IEEE Int. Conf. Cloud Comput. Technol. Sci. (CloudCom), Dec. 2016, pp. 472-475.
94. A. M. elmisery, S. Rho, and D. Botvich, "Afog based middleware for automated compliance with OeCD privacy principles in Internet of healthcare things, " IEEE Access, vol. 4, pp. 8418-8441, 2016.
95. About Continua, accessed on Aug. 30, 2016. [Online]. Available: http://www. continuaalliance. org/about-continua
96. Openfog Consortium, accessed on Nov. 24, 2016. [Online]. Available: http://www. openfogconsortium. org/