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Leveraging SDN for Smart City Applications Support

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Distributed Computing for Emerging Smart Networks (DiCES-N 2020)

Abstract

Recently, Software Defined Network (SDN) paradigm has been viewed as a promising solution that can help creating and designing more efficient intelligent solutions for smart city projects. By splitting the control and data planes, SDN presents an efficient methodology to overcome compatibility, interoperability and scalability issues. In this paper, we introduce the smart city concept and further conduct an analysis of the challenges facing smart cities. We also present a general overview of research that focuses on leveraging the benefits of software-defined networking in specific applications domains of smart cities that has been carried out to date. Furthermore, we discuss the associated potential issues that need to be addressed.

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References

  1. Berzins, K., Greb, H., Young, M.H., Hardee, K.: Urbanization, population, and health myths: addressing common misconceptions with strategic health communication. In: Okigbo, C.C. (ed.) Strategic Urban Health Communication, pp. 25–36. Springer, New York (2014). https://doi.org/10.1007/978-1-4614-9335-8_3

    Chapter  Google Scholar 

  2. Sanchez-Corcuera, R., et al.: Smart cities survey: technologies, application domains and challenges for the cities of the future. Int. J. Distrib. Sensor Netw. 15(6), 1550147719853984 (2019)

    Article  Google Scholar 

  3. Pellicer, S., Santa, G., Bleda, A.L., Maestre, R., Jara, A.J., Skarmeta, A.G.: A global perspective of smart cities: a survey. In: 2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, pp. 439–444. IEEE, July 2013

    Google Scholar 

  4. Kim, T.H., Ramos, C., Mohammed, S.: Smart city and IoT (2017)

    Google Scholar 

  5. Yin, C., Xiong, Z., Chen, H., Wang, J., Cooper, D., David, B.: A literature survey on smart cities. Sci. China Inf. Sci. 58(10), 1–18 (2015)

    Article  Google Scholar 

  6. Zhang, K., Ni, J., Yang, K., Liang, X., Ren, J., Shen, X.S.: Security and privacy in smart city applications: challenges and solutions. IEEE Commun. Mag. 55(1), 122–129 (2017)

    Article  Google Scholar 

  7. Silva, B.N., Khan, M., Han, K.: Towards sustainable smart cities: a review of trends, architectures, components, and open challenges in smart cities. Sustain. Cities Soc. 38, 697–713 (2018)

    Article  Google Scholar 

  8. Okai, E., Feng, X., Sant, P.: Smart cities survey. In: IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), pp. 1726–1730. IEEE, June 2018

    Google Scholar 

  9. Martins, J.S.: Towards smart city innovation under the perspective of software-defined networking, artificial intelligence and big data (2018). arXiv preprint arXiv:1810.11665

  10. Kreutz, D., Ramos, F.M., Verissimo, P.E., Rothenberg, C.E., Azodolmolky, S., Uhlig, S.: Software-defined networking: a comprehensive survey. Proc. IEEE 103(1), 14–76 (2014)

    Article  Google Scholar 

  11. Nunes, B.A.A., Mendonca, M., Nguyen, X.N., Obraczka, K., Turletti, T.: A survey of software-defined networking: past, present, and future of programmable networks. IEEE Commun. Surv. Tutor. 16(3), 1617–1634 (2014)

    Article  Google Scholar 

  12. da Rocha Fonseca, P.C., Mota, E.S.: A survey on fault management in software-defined networks. IEEE Commun. Surv. Tutor. 19(4), 2284–2321 (2017)

    Article  Google Scholar 

  13. Khan, S., Gani, A., Wahab, A.W.A., Guizani, M., Khan, M.K.: Topology discovery in software defined networks: threats, taxonomy, and state-of-the-art. IEEE Commun. Surv. Tutor. 19(1), 303–324 (2016)

    Article  Google Scholar 

  14. Guck, J.W., Van Bemten, A., Reisslein, M., Kellerer, W.: Unicast QoS routing algorithms for SDN: a comprehensive survey and performance evaluation. IEEE Commun. Surv. Tutor. 20(1), 388–415 (2017)

    Article  Google Scholar 

  15. Jaballah, W.B., Conti, M., Lal, C.: A survey on software-defined VANETs: benefits, challenges, and future directions (2019). arXiv preprint arXiv:1904.04577

  16. Chahal, M., Harit, S., Mishra, K.K., Sangaiah, A.K., Zheng, Z.: A survey on software-defined networking in vehicular ad hoc networks: challenges, applications and use cases. Sustain. Cities Soc. 35, 830–840 (2017)

    Article  Google Scholar 

  17. Rehmani, M.H., Davy, A., Jennings, B., Assi, C.: Software defined networks-based smart grid communication: a comprehensive survey. IEEE Commun. Surv. Tutor. 21(3), 2637–2670 (2019)

    Article  Google Scholar 

  18. Alshnta, A.M., Abdollah, M.F., Al-Haiqi, A.: SDN in the home: a survey of home network solutions using software defined networking. Cogent Eng. 5(1), 1469949 (2018)

    Article  Google Scholar 

  19. Harrison, C., et al.: Foundations for smarter cities. IBM J. Res. Dev. 54(4), 1–16 (2010)

    Article  Google Scholar 

  20. Marsal-Llacuna, M.L., Colomer-Llinàs, J., Meléndez-Frigola, J.: Lessons in urban monitoring taken from sustainable and livable cities to better address the smart cities initiative. Technol. Forecast. Soc. Change 90, 611–622 (2015)

    Article  Google Scholar 

  21. Praharaj, S., Han, H.: Cutting through the clutter of smart city definitions: a reading into the smart city perceptions in India. City Cult. Soc. 18, 100289 (2019)

    Article  Google Scholar 

  22. Neirotti, P., De Marco, A., Cagliano, A.C., Mangano, G., Scorrano, F.: Current trends in smart city initiatives: some stylised facts. Cities 38, 25–36 (2014)

    Article  Google Scholar 

  23. Al-Turjman, F., Zahmatkesh, H., Shahroze, R.: An overview of security and privacy in smart cities’ IoT communications. Trans. Emerg. Telecomm. Technol. e3677 (2019)

    Google Scholar 

  24. Schaffers, H., Ratti, C., Komninos, N.: Special issue on smart applications for smart cities-new approaches to innovation: guest editors’ introduction. J. Theoret. Appl. Electron. Commer. Res. 7(3), 2–5 (2012)

    Article  Google Scholar 

  25. Giffinger, R., Fertner, C., Kramar, H., Kalasek, R., Pichler-Milanovic, N., Meijers, E.: Smart Cities: Ranking of European medium-sized cities. Centre of Regional Science (SRF), Vienna, Austria (2007)

    Google Scholar 

  26. Albino, V., Berardi, U., Dangelico, R.M.: Smart cities: definitions, dimensions, performance, and initiatives. J. Urban Technol. 22(1), 3–21 (2015)

    Article  Google Scholar 

  27. Winters, J.V.: Why are smart cities growing? Who moves and who stays. J. Reg. Sci. 51(2), 253–270 (2011)

    Article  Google Scholar 

  28. Nam, T., Pardo, T.A.: Conceptualizing smart city with dimensions of technology, people, and institutions. In: Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times, pp. 282–291, June 2011

    Google Scholar 

  29. Giffinger, R., Gudrun, H.: Smart cities ranking: an effective instrument for the positioning of the cities? ACE Archit. City Environ. 4(12), 7–26 (2010)

    Google Scholar 

  30. Zubizarreta, I., Seravalli, A., Arrizabalaga, S.: Smart city concept: what it is and what it should be. J. Urban Plann. Develop. 142(1), 04015005 (2016)

    Article  Google Scholar 

  31. Laohajaratsang, T.: e-Education in Thailand: equity, quality and sensitivity for learners and teachers. In: Global Learn, pp. 694–700. Association for the Advancement of Computing in Education (AACE), May 2010

    Google Scholar 

  32. Pereira, G.V., Parycek, P., Falco, E., Kleinhans, R.: Smart governance in the context of smart cities: a literature review. Inf. Polity 23(2), 143–162 (2018)

    Article  Google Scholar 

  33. Twizeyimana, J.D., Andersson, A.: The public value of e-government-a literature review. Govern. Inf. Q. 36(2), 167–178 (2019)

    Article  Google Scholar 

  34. Lindner, R., Aichholzer, G.: E-democracy: conceptual foundations and recent trends. In: Hennen, L., van Keulen, I., Korthagen, I., Aichholzer, G., Lindner, R., Nielsen, R.Ø. (eds.) European E-Democracy in Practice. SDPG, pp. 11–45. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-27184-8_2

    Chapter  Google Scholar 

  35. Chetouane, A., Mabrouk, S., Jemili, I., Mosbah, M.: A comparative study of vehicle detection methods in a video sequence. In: Jemili, I., Mosbah, M. (eds.) DiCES-N 2019. CCIS, vol. 1130, pp. 37–53. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-40131-3_3

    Chapter  Google Scholar 

  36. Chetouane, A., Mabrouk, S., Jemili, I., Mosbah, M.: Vision-based vehicle detection for road traffic congestion classification. Concurr. Comput. Pract. Exp. e5983 (2020)

    Google Scholar 

  37. Abdallah, A., Jemili, I., Mabrouk, S., Mosbah, M.: Leveraging GPS data for vehicle maneuver detection. In: International Workshop on Communication Technologies for Vehicles. Springer, Cham (2020)

    Google Scholar 

  38. Ahmed, E., Yaqoob, I., Gani, A., Imran, M., Guizani, M.: Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges. IEEE Wirel. Commun. 23(5), 10–16 (2016)

    Article  Google Scholar 

  39. Dileep, G.: A survey on smart grid technologies and applications. Renewab. Energy 146, 2589–2625 (2020)

    Article  Google Scholar 

  40. Chew, I., Karunatilaka, D., Tan, C.P., Kalavally, V.: Smart lighting: the way forward? Reviewing the past to shape the future. Energy and Build. 149, 180–191 (2017)

    Article  Google Scholar 

  41. Negra, R., Jemili, I., Belghith, A., Mosbah, M.: MTM-MAC: medical traffic management mac protocol for handling healthcare applications in WBANs. In: Palattella, M.R., Scanzio, S., Coleri Ergen, S. (eds.) ADHOC-NOW 2019. LNCS, vol. 11803, pp. 483–497. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-31831-4_33

    Chapter  Google Scholar 

  42. Negra, R., Jemili, I., Belghith, A.: Wireless body area networks: applications and technologies. Procedia Comput. Sci. 83, 1274–1281 (2016)

    Article  Google Scholar 

  43. Negra, R., Jemili, I., Zemmari, A., Mosbah, M., Belghith, A.: WBAN path loss based approach for human activity recognition with machine learning techniques. In: 14th International Wireless Communications & Mobile Computing Conference (IWCMC), pp. 470–475. IEEE, June 2018

    Google Scholar 

  44. Hargreaves, T., Wilson, C., Hauxwell-Baldwin, R.: Learning to live in a smart home. Build. Res. Inf. 46(1), 127–139 (2018)

    Article  Google Scholar 

  45. Alaa, M., Zaidan, A.A., Zaidan, B.B., Talal, M., Kiah, M.L.M.: A review of smart home applications based on Internet of Things. J. Netw. Comput. Appl. 97, 48–65 (2017)

    Article  Google Scholar 

  46. Sookhak, M., Tang, H., He, Y., Yu, F.R.: Security and privacy of smart cities: a survey, research issues and challenges. IEEE Commun. Surv. Tutor. 21(2), 1718–1743 (2018)

    Article  Google Scholar 

  47. Ksouri, C., Jemili, I., Mosbah, M., Belghith, A.: Data gathering for Internet of vehicles safety. In: 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC), pp. 904–909. IEEE, June 2018

    Google Scholar 

  48. Capponi, A., Fiandrino, C., Kantarci, B., Foschini, L., Kliazovich, D., Bouvry, P.: A survey on mobile crowdsensing systems: challenges, solutions, and opportunities. IEEE Commun. Surv. Tutor. 21(3), 2419–2465 (2019)

    Article  Google Scholar 

  49. Cui, L., Xie, G., Qu, Y., Gao, L., Yang, Y.: Security and privacy in smart cities: challenges and opportunities. IEEE Access 6, 46134–46145 (2018)

    Article  Google Scholar 

  50. Balakrishna, C.: Enabling technologies for smart city services and applications. In: Sixth International Conference on Next Generation Mobile Applications, Services and Technologies, pp. 223–227. IEEE, September 2012

    Google Scholar 

  51. Habibzadeh, H., Nussbaum, B.H., Anjomshoa, F., Kantarci, B., Soyata, T.: A survey on cybersecurity, data privacy, and policy issues in cyber-physical system deployments in smart cities. Sustain. Cities Soc. 50, 101660 (2019)

    Article  Google Scholar 

  52. Kazmi, A., Jan, Z., Zappa, A., Serrano, M.: Overcoming the heterogeneity in the internet of things for smart cities. In: Podnar Žarko, I., Broering, A., Soursos, S., Serrano, M. (eds.) InterOSS-IoT 2016. LNCS, vol. 10218, pp. 20–35. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-56877-5_2

    Chapter  Google Scholar 

  53. Mehmood, Y., Ahmad, F., Yaqoob, I., Adnane, A., Imran, M., Guizani, S.: Internet-of-things-based smart cities: recent advances and challenges. IEEE Commun. Mag. 55(9), 16–24 (2017)

    Article  Google Scholar 

  54. Gharaibeh, A., et al.: Smart cities: a survey on data management, security, and enabling technologies. IEEE Commun. Surv. Tutor. 19(4), 2456–2501 (2017)

    Article  Google Scholar 

  55. Khalid, A.: Smart applications for smart live. Int. J. Comput. Sci. Mob. Comput. 5, 97–103 (2016)

    Google Scholar 

  56. Pasolini, G., et al.: Smart city pilot projects using LoRa and IEEE802.15.4 technologies. Sensors 18(4), 1118 (2018)

    Article  Google Scholar 

  57. Yaqoob, I., Hashem, I.A.T., Mehmood, Y., Gani, A., Mokhtar, S., Guizani, S.: Enabling communication technologies for smart cities. IEEE Commun. Mag. 55(1), 112–120 (2017)

    Article  Google Scholar 

  58. Chourabi, H., et al.: Understanding smart cities: an integrative framework. In: 45th Hawaii International Conference on System Sciences, pp. 2289–2297. IEEE, January 2012

    Google Scholar 

  59. Santana, E.F.Z., Chaves, A.P., Gerosa, M.A., Kon, F., Milojicic, D.S.: Software platforms for smart cities: concepts, requirements, challenges, and a unified reference architecture. ACM Comput. Surv. (CSUR) 50(6), 1–37 (2017)

    Article  Google Scholar 

  60. Oussous, A., Benjelloun, F.Z., Lahcen, A.A., Belfkih, S.: Big data technologies: a survey. J. King Saud Univ. Comput. Inf. Sci. 30(4), 431–448 (2018)

    Google Scholar 

  61. Lu, G., Zeng, W.H.: Cloud computing survey. In Applied Mechanics and Materials, vol. 530, pp. 650–661. Trans Tech Publications Ltd. (2014)

    Google Scholar 

  62. Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)

    Article  MATH  Google Scholar 

  63. Bannour, F., Souihi, S., Mellouk, A.: Distributed SDN control: survey, taxonomy, and challenges. IEEE Commun. Surv. Tutor. 20(1), 333–354 (2018)

    Article  Google Scholar 

  64. Kim, H., Feamster, N.: Improving network management with software defined networking. IEEE Commun. Mag. 51(2), 114–119 (2013)

    Article  Google Scholar 

  65. Zemrane, H., Baddi, Y., Hasbi, A.: SDN-based solutions to improve IoT: survey. In: IEEE 5th International Congress on Information Science and Technology (CiSt), pp. 588–593. IEEE, October 2018

    Google Scholar 

  66. Neghabi, A.A., Navimipour, N.J., Hosseinzadeh, M., Rezaee, A.: Load balancing mechanisms in the software defined networks: a systematic and comprehensive review of the literature. IEEE Access 6, 14159–14178 (2018)

    Article  Google Scholar 

  67. Alouache, L., Nguyen, N., Aliouat, M., Chelouah, R.: Survey on IoV routing protocols: security and network architecture. Int. J. Commun. Syst. 32(2), e3849 (2019)

    Article  Google Scholar 

  68. Alsaeedi, M., Mohamad, M.M., Al-Roubaiey, A.A.: Toward adaptive and scalable OpenFlow-SDN flow control: a survey. IEEE Access 7, 107346–107379 (2019)

    Article  Google Scholar 

  69. Fang, X., Misra, S., Xue, G., Yang, D.: Smart grid-the new and improved power grid: a survey. IEEE Commun. Surv. Tutor. 14(4), 944–980 (2011)

    Article  Google Scholar 

  70. Kim, J., Filali, F., Ko, Y.B.: Trends and potentials of the smart grid infrastructure: from ICT sub-system to SDN-enabled smart grid architecture. Appl. Sci. 5(4), 706–727 (2015)

    Article  Google Scholar 

  71. Dorsch, N., Kurtz, F., Dalhues, S., Robitzky, L., Häger, U., Wietfeld, C.: Intertwined: Software-defined communication networks for multi-agent system-based smart grid control. In: IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 254–259. IEEE, November 2016

    Google Scholar 

  72. Rayati, M., Ranjbar, A.: Resilient transactive control for systems with high wind penetration based on cloud computing. IEEE Trans. Ind. Inf. 14(3), 1286–1296 (2018)

    Article  Google Scholar 

  73. Hannon, C., Yan, J., Jin, D.: DSSnet: a smart grid modeling platform combining electrical power distribution system simulation and software defined networking emulation. In: Proceedings of the ACM SIGSIM Conference Principles Advanced Discrete Simulation (SIGSIM-PADS), pp. 131–142 (2016)

    Google Scholar 

  74. Jin, D.: Toward a cyber resilient and secure microgrid using software-defined networking. IEEE Trans. Smart Grid 8(5), 2494–2504 (2017)

    Article  Google Scholar 

  75. Chaudhary, R., Aujla, G.S., Garg, S., Kumar, N., Rodrigues, J.J.: SDN-enabled multi-attribute-based secure communication for smart grid in IIoT environment. IEEE Trans. Ind. Inf. 14(6), 2629–2640 (2018)

    Article  Google Scholar 

  76. Demirci, S., Sagiroglu, S.: Software-defined networking for improving security in smart grid systems. In: 7th International Conference on Renewable Energy Research and Applications (ICRERA), pp. 1021–1026. IEEE, October 2018

    Google Scholar 

  77. Ibdah, D., Kanani, M., Lachtar, N., Allan, N., Al-Duwairi, B.: On the security of SDN-enabled smartgrid systems. In: International Conference on Electrical and Computing Technologies and Applications (ICECTA), pp. 1–5. IEEE, November 2017

    Google Scholar 

  78. Ghosh, U., Chatterjee, P., Shetty, S.: A security framework for SDN-enabled smart power grids. In: IEEE 37th International Conference on Distributed Computing Systems Workshops (ICDCSW), pp. 113–118. IEEE, June 2017

    Google Scholar 

  79. Rinaldi, S., Ferrari, P., Brandão, D., Sulis, S.: Software defined networking applied to the heterogeneous infrastructure of smart grid. In: IEEE World Conference on Factory Communication Systems (WFCS), pp. 1–4. IEEE, May 2015

    Google Scholar 

  80. Molina, E., Jacob, E., Matias, J., Moreira, N., Astarloa, A.: Using software defined networking to manage and control IEC 61850-based systems. Comput. Electric. Eng. 43, 142–154 (2015)

    Article  Google Scholar 

  81. Pfeiffenberger, T., Du, J.L., Arruda, P.B., Anzaloni, A.: Reliable and flexible communications for power systems: fault-tolerant multicast with SDN/OpenFlow. In: 7th International Conference on New Technologies, Mobility and Security (NTMS), pp. 1–6. IEEE, July 2015

    Google Scholar 

  82. Chang, K.H.: Interoperable nan standards: a path to cost-effective smart grid solutions. IEEE Wirel. Commun. 20(3), 4–5 (2013)

    Article  Google Scholar 

  83. Ali, S.T., Sivaraman, V., Radford, A., Jha, S.: A survey of securing networks using software defined networking. IEEE Trans. Reliab. 64(3), 1086–1097 (2015)

    Article  Google Scholar 

  84. Dorsch, N., Jablkowski, B., Georg, H., Spinczyk, O., Wietfeld, C.: Analysis of communication networks for smart substations using a virtualized execution platform. In: IEEE International Conference on Communications (ICC), pp. 4239–4245. IEEE, June 2014

    Google Scholar 

  85. Kurtz, F., Bektas, C., Dorsch, N., Wietfeld, C.: Network slicing for critical communications in shared 5G infrastructures-an empirical evaluation. In: 4th IEEE Conference on Network Softwarization and Workshops (NetSoft), pp. 393–399. IEEE, June 2018

    Google Scholar 

  86. Bui, N., Castellani, A.P., Casari, P., Zorzi, M.: The internet of energy: a web-enabled smart grid system. IEEE Network 26(4), 39–45 (2012)

    Article  Google Scholar 

  87. Smart Home Energy. http://smarthomeenergy.co.uk. Accessed 06 Oct 2020

  88. Sivaraman, V., Gharakheili, H.H., Vishwanath, A., Boreli, R., Mehani, O.: Network-level security and privacy control for smart-home IoT devices. In: IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), pp. 163–167. IEEE, October 2015

    Google Scholar 

  89. Shirali-Shahreza, S., Ganjali, Y.: Protecting home user devices with an SDN-based firewall. IEEE Trans. Consum. Electron. 64(1), 92–100 (2018)

    Article  Google Scholar 

  90. Nobakht, M., Sivaraman, V., Boreli, R.: A host-based intrusion detection and mitigation framework for smart home IoT using OpenFlow. In: 11th International Conference on Availability, Reliability and Security (ARES), pp. 147–156. IEEE, August 2016

    Google Scholar 

  91. Lee, M., Kim, Y., Lee, Y.: A home cloud-based home network auto-configuration using SDN. In: IEEE 12th International Conference on Networking, Sensing and Control, pp. 444–449. IEEE, April 2015

    Google Scholar 

  92. Soetens, N., Famaey, J., Verstappen, M., Latre, S.: SDN-based management of heterogeneous home networks. In: 11th International Conference on Network and Service Management (CNSM), pp. 402–405. IEEE, November 2015

    Google Scholar 

  93. Britannica. https://www.britannica.com. Accessed 07 Oct 2020

  94. Srilakshmi, A., Mohanapriya, P., Harini, D., Geetha, K.: IoT based smart health care system to prevent security attacks in SDN. In: 2019 Fifth International Conference on Electrical Energy Systems (ICEES), pp. 1–7. IEEE, February 2019

    Google Scholar 

  95. Zemrane, H., Baddi, Y., Hasbi, A.: Improve IoT ehealth ecosystem with SDN. In: Proceedings of the 4th International Conference on Smart City Applications, pp. 1–8, October 2019

    Google Scholar 

  96. Sallabi, F., Naeem, F., Awad, M., Shuaib, K.: Managing IoT-based smart healthcare systems traffic with software defined networks. In: International Symposium on Networks, Computers and Communications (ISNCC), pp. 1–6. IEEE, June 2018

    Google Scholar 

  97. Hu, L., Qiu, M., Song, J., Hossain, M.S., Ghoneim, A.: Software defined healthcare networks. IEEE Wirel. Commun. 22(6), 67–75 (2015)

    Article  Google Scholar 

  98. Li, T.M., Liao, C.C., Cho, H.H., Chien, W.C., Lai, C.F., Chao, H.C.: An e-healthcare sensor network load-balancing scheme using SDN-SFC. In: IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom), pp. 1–4. IEEE, October 2017

    Google Scholar 

  99. Cicioğlu, M., Çalhan, A.: SDN-based wireless body area network routing algorithm for healthcare architecture. ETRI J. 41(4), 452–464 (2019)

    Article  Google Scholar 

  100. Hartmann, M., Hashmi, U.S., Imran, A.: Edge computing in smart health care systems: review, challenges, and research directions. Trans. Emerg. Telecomm. Tech. e3710 (2019)

    Google Scholar 

  101. Arif, M., Wang, G., Wang, T., Peng, T.: SDN-based secure VANETs communication with fog computing. In: Wang, G., Chen, J., Yang, L.T. (eds.) SpaCCS 2018. LNCS, vol. 11342, pp. 46–59. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-05345-1_4

    Chapter  Google Scholar 

  102. Hussein, A., Elhajj, I. H., Chehab, A., Kayssi, A.: SDN VANETs in 5G: an architecture for resilient security services. In 2017 Fourth International Conference on Software Defined Systems (SDS), pp. 67–74. IEEE, May 2017

    Google Scholar 

  103. Zhu, M., Cao, J., Pang, D., He, Z., Xu, M.: SDN-based routing for efficient message propagation in VANET. In: Xu, K., Zhu, H. (eds.) WASA 2015. LNCS, vol. 9204, pp. 788–797. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-21837-3_77

    Chapter  Google Scholar 

  104. Ji, X., Yu, H., Fan, G., Fu, W.: SDGR: an SDN-based geographic routing protocol for VANET. In: IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), pp. 276–281. IEEE, December 2016

    Google Scholar 

  105. Bhatia, J., Dave, R., Bhayani, H., Tanwar, S., Nayyar, A.: SDN-based real-time urban traffic analysis in VANET environment. Comput. Commun. 149, 162–175 (2020)

    Article  Google Scholar 

  106. Benzekki, K., El Fergougui, A., Elbelrhiti Elalaoui, A.: Software-defined networking (SDN): a survey. Secur. Commun. Netw. 9(18), 5803–5833 (2016)

    Article  Google Scholar 

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Rbii, E., Jemili, I. (2020). Leveraging SDN for Smart City Applications Support. In: Jemili, I., Mosbah, M. (eds) Distributed Computing for Emerging Smart Networks. DiCES-N 2020. Communications in Computer and Information Science, vol 1348. Springer, Cham. https://doi.org/10.1007/978-3-030-65810-6_6

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