Smart Cities IoT: Enablers and Technology Road Map

Chapter
First Online:
Part of the Springer Optimization and Its Applications book series (SOIA, volume 125)

Abstract

The Internet of Things (IoT) is a new paradigm that combines aspects and technologies from ubiquitous and pervasive computing, wireless sensor networks, Internet communication protocols, sensing technologies, communication technologies and embedded devices. Smart cities are advancing towards a pervasive, integrated and intelligent environment, where IoT is used to seamlessly interconnect, interact, control and provide insights about the various silos of fragmented systems within cities. The huge number of interconnected devices as well as the significant amount of data generated by them provides unprecedented opportunities to solve urban challenges. These technologies are merged together with city systems to form an environment where the real and digital worlds meet and are continuously in a synergetic interaction. This intelligent and pervasive environment forms the basis of the interconnected smart cities. In this paper, we elucidate the concept of smart cities, the key features and the driver technologies of IoT and the physical digital integration within city systems. We present smart cities applications enabled by the IoT and research challenges and open issues to be faced for the IoT realisation in smart cities.

Keywords

Smart cities Internet of Things City data 
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References

  1. Adams, W., Jeanrenaud, S.: Transition to Sustainability: Towards a Humane and Diverse World. IUCN, Gland (2008)Google Scholar
  2. Agarwal Y., Hodges S., Chandra R., Scott J., Bahl P., Gupta R.: Somniloquy: Augmenting Network Interfaces to Reduce PC Energy Usage. In Proc. of USENIX Symposium on Networked Systems Design and Implementation (NSDI ‘09) (2009)Google Scholar
  3. Al-Turjman, F.M., Hassanein, H.S., Ibnkahla, M.A.: Efficient deployment of wireless sensor networks targeting environment monitoring applications. Comput. Commun. 36(2), 135–148 (2013)CrossRefGoogle Scholar
  4. Andreini, F., Crisciani, F., Cicconetti, C., Mambrini, R.: A scalable architecture for geo-localized service access in smart cities. In Future Network and Mobile Summit, 1–8 (2011)Google Scholar
  5. Ashton, K.: That “The Internet of Things” thing. RFID J Int Telecommun Union, ‘ITU Internet Report 2005: The Internet of Things’, (2009)Google Scholar
  6. Asimakopoulou, E., Bessis, N.: Buildings and crowds: forming smart cities for more effective disaster management. In Fifth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), pp. 229–234 (2011)Google Scholar
  7. Attwood, A., Merabti, M., Fergus, P., Abuelmaatti, O.: Sccir: Smart cities critical infrastructure response framework. In Developments in E-systems Engineering (DeSE), pp. 460–464 (2011)Google Scholar
  8. Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54, 2787–2805 (2010)CrossRefMATHGoogle Scholar
  9. Berners-Lee, T., Fischetti, M.: Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web by Its Inventor. Harper, San Francisco (1999)Google Scholar
  10. Bogdanov A., Knudsen L.R., Le G., Paar C., Poschmann A., Robshaw M.J.B., Seurin Y., Vikkelsoe C.: PRESENT: an ultra-lightweight block cipher, In: Proceedings of Workshop on Cryptographic Hardware and Embedded Systems (CHES). Springer (2000)Google Scholar
  11. Bormann, C., Castellani, A.P., Shelby, Z.: CoAP: an application protocol for billions of tiny internet nodes. IEEE Internet Comput. 16(2), 62–67 (2012)CrossRefGoogle Scholar
  12. Brennan, R., Wei Tai, O’Sullivan, D., Aslam, M.S., Rea, S., Pesch, D.: Open Framework Middleware for intelligent WSN topology adaption in smart buildings, Ultra Modern Telecommunications & Workshops, 2009. ICUMT’09, vol., no., pp.1,7, 12–14 Oct. 2009Google Scholar
  13. Chen, H., Chou, P., Duri, S., Lei, H., Reason, J.: The design and implementation of a smart building control system, In: IEEE Int. Conf. on e-Business Engineering, pp. 255–262 (2009)Google Scholar
  14. Cheshire, S., Krochmal, M.: Multicast DNS. Internet Eng. Task Force (IETF), Fremont. Request for Comments: 6762 (2013)Google Scholar
  15. Cirani, S., Ferrari, G., Veltri, L.: Enforcing security mechanisms in the ip-based internet of things: an algorithmic overview. Algorithms. 6(2), 197–226 (2013)CrossRefGoogle Scholar
  16. Compton, M., Henson, C., Lefort, L., Neuhaus, H., Sheth, A.: A survey of the semantic specification of sensors. Networks. 17(522), (2009)Google Scholar
  17. Day, J., Zimmerman, H.: The OSI reference model. Proc. IEEE. 71(12), 1334–1340 (1983)CrossRefGoogle Scholar
  18. Deak, G., Curran, K., Condell, J.: A survey of active and passive indoor localisation systems. Comput. Commun. 35(16), 1939–1954 (2012)CrossRefGoogle Scholar
  19. Delaney, D. T., O’Hare, G. M. P., Ruzzelli, A. G.: Evaluation of energy-efficiency in lighting systems using sensor networks. Proc. of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings’, pp. 61–66, (2009)Google Scholar
  20. D’Souza, M., Wark, T., Karunanithi, M., Ros, M.: Evaluation of realtime people tracking for indoor environments using ubiquitous motion sensors and limited wireless network infrastructure. Pervas Mob Comput. 9(4), 498–515 (2013)CrossRefGoogle Scholar
  21. Eid, M., Liscano, R., El Saddik, A.: A universal ontology for sensor networks data. In IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, 2007. CIMSA 2007, pp. 59–62 (2007)Google Scholar
  22. Eisenbarth, T., Kumar, S.: A survey of lightweight-cryptography implementations. IEEE Des. Test Comp. 24(6), 522–533 (2007)CrossRefGoogle Scholar
  23. Elkhodr, M., Shahrestani, S., Cheung, H.: A smart home application based on the Internet of Things management platform, In 2015 IEEE International Conference on Data Science and Data Intensive Systems, pp. 491–496 2015Google Scholar
  24. Erickson V. L., Lin Y., Kamthe A., Brahme R., Surana A., et al.: Energy efficient building environment control strategies using real-time occupancy measurements. Proc. of the First ACM Works. on Embed. Sensing Systems for Energy-Efficiency in Buildings, pp. 19–24, (2009)Google Scholar
  25. Fielding, R. T.: Architectural Styles and the Design of Network-Based Software Architectures, Ph.D. dissertation, Univ. California, Irvine, CA, USA (2000)Google Scholar
  26. Filipponi, L., Vitaletti, A., Landi, G., Memeo, V., Laura, G., Pucci, P.: Smart city: an event driven architecture for monitoring public spaces with heterogeneous sensors. In Sensor Technologies and Applications (SENSORCOMM), 2010 Fourth International Conference on, pp. 281–286 (2010)Google Scholar
  27. Gann, D.M., Dodgson, M., Bhardwaj, D.: Physical-digital integration in city infrastructure. IBM J. Res. Dev. 55(1 and 2), 90–99 (2011)Google Scholar
  28. Ghayvat H., Mukhopadhyay S., Gui X., Suryadevara N.: WSN- and IOT-based smart homes and their extension to smart buildings. Sensors (2015)Google Scholar
  29. Hall, P., Pfeiffer, U.: Urban Future 21: A Global Agenda for Twenty-First Century Cities. Spon, London (2000)Google Scholar
  30. Heath, T., Bizer, C.: Linked data: evolving the web into a global data space. Synth. Lect. Semant. Web: Theory Technol. 1(1), 1–136 (2011)Google Scholar
  31. Heer, T., Garcia-Morchon, O., Hummen, R., et al.: Security challenges in the ip-based internet of things. Wirel. Pers. Commun.: Int. J. 61(3), 527–542 (2011)CrossRefGoogle Scholar
  32. Hernandez-Munoz, J.M., Bernat Vercher, J., Munoz, L., et al.: Smart Cities at the Forefront of the Future Internet, pp. 447–462. Springer, Heidelberg (2011)Google Scholar
  33. Hui, J., Thubert, P.: ‘Compression format for IPv6 datagrams over IEEE 802.15.4-based networks’, IETF Request for Comments (RFC) 6282 (September) (2011)Google Scholar
  34. Hunkeler, U., Truong, H.L., Stanford-Clark, A.: ‘MQTT-S – a publish/subscribe protocol for wireless sensor networks’, In: Proceedings of the COMSWARE, pp. 791–798 2008Google Scholar
  35. Janssen, M., Charalabidis, Y., Zuiderwijk, A.: Benefits, adoption barriers and myths of open data and open government. Inf. Syst. Manag. 29(4), 258–268 (2012)CrossRefGoogle Scholar
  36. Jara, A.J., Martinez-Julia, P., Skarmeta, A.: Light-weight multicast DNS and DNS-SD (lmDNS-SD): IPv6-based resource and service discovery for the web of things, In Proc. 6th Int. Conf. IMIS Ubiquitous Comput., pp. 731–738 (2012)Google Scholar
  37. Jennings, C.: IETF Internet-Draft – Transitive Trust Enrollment for Constrained Devices (2012)Google Scholar
  38. Jung, C., Shin, Y., Shin, D., Nah, Y.: Sturdy of Security Reference Model of U-City Integrated Operating Center (2009)Google Scholar
  39. Kamilaris, A., Trifa, V., Pitsillides, A.: HomeWeb: an application framework for Web-based smart homes. In: 18th International Conference on. IEEE, pp. e134–e139 (2011)Google Scholar
  40. Karvonen, E.: Informational Societies. Understanding the Third Industrial Revolution. Tampere University Press, Tampere (2001)Google Scholar
  41. Kelly, S.D.T., Suryadevara, K., Mukhopadhyay, C.: Towards the implementation of IoT for environmental condition monitoring in homes. IEEE Sensors J. 13(10), 3846–3853 (2013)CrossRefGoogle Scholar
  42. Klein, C., Kaefer, G.: From Smart Homes to Smart Cities: Opportunities and Challenges from an Industrial Perspective (2008).Google Scholar
  43. Ko, J., et al.: Connecting low-power and lossy networks to the internet. IEEE Commun. Mag. 49(4), 96–101 (2011)CrossRefGoogle Scholar
  44. Krochmal, M., Cheshire, S.: DNS-Based Service Discovery. Internet Eng. Task Force (IETF), Fremont. Request for Comments: 6763 (2013)Google Scholar
  45. Lawton, G.: Machine-to-machine technology gears up for growth. Computer. 37, 12–15 (2004)CrossRefGoogle Scholar
  46. Le Phuoc, D., Hauswirth, M.: In Kerry Taylor, Arun Ayyagari, David De Roure (editors) Linked open data in sensor data Mashups, Proc. of the 2nd International Workshop on Semantic Sensor Networks (SSN09), Vol-522, CEUR, 2009Google Scholar
  47. Lu, J., Sookoor, T., Srinivasan, V., Gao, G., Holben, B., Stankovic, J., Field, E., Whitehouse, K.: The smart thermostat: using occupancy sensors to save energy in homes. Proc. of the 8th ACM Conference on Embd. Netw. Sensor Systems (SenSys ‘10), pp. 211–224 (2010)Google Scholar
  48. Lüthi, Y., Meisinger, R., Wenzler, M.: Pressure sensors in the HVAC industry. In: Gassmann, O., Meixner, H., Hesse, J., Gopel, J.W., Gopel, W. (eds.) Sensor Application Vol. 2: Sensors in Intelligent Buildings, pp. 173–199. Wiley-VCH, Weinheim (2001)CrossRefGoogle Scholar
  49. Maier, M., Chowdhury, M., Rimal, B.P., Van, D.P.: The tactile internet: vision, recent progress, and open challenges. IEEE Commun. Mag. 54(5), 138–145 (2016)CrossRefGoogle Scholar
  50. McDaniel, P., McLaughlin, S.: Security and privacy challenges in the smart grid. Secur. Priv, IEEE. 7(3), 75–77 (2009)CrossRefGoogle Scholar
  51. Metje, N., Chapman, D.N., Cheneler, D., Ward, M., Thomas, A.M.: Smart pipes-instrumented water pipes, can this be made a reality? Sensors. 11(8), 7455–7475 (2011)CrossRefGoogle Scholar
  52. Milton, N., P. S. e. a.: Combining cloud and sensors in a smart city environment. EURASIP J Wirel Commun Netw, p. 247 (2012)Google Scholar
  53. Montenegro, G., Kushalnagar, N., Hui, J., Culler, D.: ‘Transmission of IPv6 packets over IEEE 802.15.4 networks’, IETF Request for Comments (RFC) 4944 (September) (2007)Google Scholar
  54. Montenegro, G., Kushalnagar, N., Hui, J., Culler, D.: ‘Transmission of IPv6 Packets over IEEE 802.15.4 Networks,’ RFC 4944, Internet Engineering Task Force, 2007 (2010)Google Scholar
  55. MQ Telemetry Transport.: http://mqtt.org. Accessed 10 Mar 2015 (n.d.)
  56. Mulligan, G.: ‘The 6LoWPAN architecture’, EmNets’07: Proceedings of the 4th workshop on Embedded networked sensors, ACM (2007)Google Scholar
  57. Myers, C.: Intelligent Buildings: A Guide for Facility Managers. UpWord Publishing, New York (1996)Google Scholar
  58. Nasir, A., Hussain, S., Soong, B., Qaraqe, K.: Energy efficient cooperation in underlay RFID cognitive networks for a water smart home. Sensors. 2015Google Scholar
  59. Nikander, P., Gurtov, A., Henderson, T.R.: Host identity protocol (HIP): connectivity, mobility, multi-homing, security, and privacy over IPv4 and IPv6 networks. IEEE Commun Surv Tut. 12(2), 186–204 (2010)CrossRefGoogle Scholar
  60. Nye, D.: American Technological Sublime. MIT Press, Cambridge, MA (1996)Google Scholar
  61. Ratti, C., Townsend, A.: Harnessing Residents’ Electronic Devices Will Yield Truly Smart Cities (2011)Google Scholar
  62. Shadbolt, N., O'Hara, K., Berners-Lee, T., Ibbins, N., Glaser, H., Hall, W., Schraefel, M.C.: Linked open goverment data: lessons from Data.gov.uk. IEEE Intell. Syst. 27(3, Spring Issue), 16–24 (2012). doi: 10.1109/MIS.2012.23
  63. Shelby, Z., Hartke, K., Bormann, C., Frank, B.: ‘Constrained Application Protocol (CoAP)’, draft-ietf-core-coap-11 (2012)Google Scholar
  64. Shi, W., Dustdar, S.: The promise of edge computing. Computer. 49(5), 78–81 (2016)CrossRefGoogle Scholar
  65. Simsek, M., Aijaz, A., Dohler, M., Sachs, J., Fettweis, G.: 5G-enabled tactile internet. IEEE J Sel Areas Commun. 34(3), 460–473 (2016)CrossRefGoogle Scholar
  66. Singhvi, V., Krause, A., Guestrin, C., Garrett, J.H. Jr., Matthews, H.S.: Intelligent light control using sensor networks, In: Proc. of the 3rd International Conference on Embedded Networked Sensor Systems, SenSys ‘05, ACM, NY, USA, pp. 218–229 (2005)Google Scholar
  67. Skouby, K.E., Kivimäki, A., Haukiputo, L., Lynggaard, P., Windekilde, I.: Smart Cities and the Ageing Population; Proceedings of the 32nd Meeting of WWRF, 2014Google Scholar
  68. So, A.T.P., Tse, B.W.L.: Intelligent air-conditioning control. In: Gassmann, O., Meixner, H., Hesse, J., Gardner, J.W., Gopel, W. (eds.) Sensor Application Vol. 2: Sensors in Intelligent Buildings, pp. 29–61. Wiley-VCH, Weinheim (2001)Google Scholar
  69. Standaert, F.-X., Piret, G., Gershenfeld, N., Quisquater, J.-J.: SEA: a scalable encryption algorithm for small embedded applications, In: Proceedings of 7th IFIP WG 8.8/11.2 CARDIS, pp. 222–236. Springer, 2006Google Scholar
  70. Suzuki, L C S R: Data as Infrastructure for Smart Cities. PhD Thesis. University College London, UK (2015a)Google Scholar
  71. Suzuki, L. C.D.S.: The internet of things, the hype and the Road map, IET Eng Technol Ref., pp.1–12 (2015b)Google Scholar
  72. Terzis, S., Nixon, P., Narasimhan, N., Walsh, T.: Middleware for pervasive and ad hoc computing. Pers. Ubiquit. Comput. 10(1), 4–6 (2005)CrossRefGoogle Scholar
  73. Tiberi, U.; Fischione, C.; Johansson, K.H.; Di Benedetto, M.D.: ‘Adaptive self-triggered control over IEEE 802.15.4 networks,’ Decision and Control (CDC), 2010 49th IEEE Conference on, vol., no., pp.2099, 2104, 15–17 Dec. 2010Google Scholar
  74. Trankler, H.R., Kanoun, O.: Sensor systems in intelligent buildings. In: Gassmann, O., Meixner, H., Hesse, J., Gopel, J.W., Gopel, W. (eds.) Sensor Application Vol. 2: Sensors in Intelligent Buildings, pp. 485–510. Wiley-VCH, Weinheim (2001)Google Scholar
  75. van den Besselaar, P., Beckers, D.: The Life and Death of the Great Amsterdam Digital City Digital Cities III, pp. 1–16. Springer, Berlin (2005)Google Scholar
  76. Wang, S.W., Xie, J.L.: Integrating building management system and facility management on internet. Autom. Constr. 11(6), 707–715 (2002)CrossRefGoogle Scholar
  77. Wang, W., Dong, L., Wang, C.: A Linked-Data Model for Semantic Sensor Streams, Green Computing and Communications, 2013 IEEE and Internet of Things, pp. 468–475 (2013)Google Scholar
  78. Wen, Y., Yang, X., Xu, Y.: Cloud-Computing-Based Framework for Multicamera Topology Inference in Smart City Sensing System. (2010)Google Scholar
  79. Shelby Zach, Bormann Carsten: ‘6LoWPAN: The Wireless Embedded Internet’, Wiley Publishing (2009)Google Scholar
  80. Zhang, Q., Cheng, L., Boutaba, R.: Cloud computing: state-of-the-art and research challenges. J.Internet Serv. Appl. 1, 7–18 (2010)CrossRefGoogle Scholar
  81. Zhang, S., McCullagh, P., Nugent, C., Zheng, H., Black, N.: An ontological framework for activity monitoring and reminder reasoning in an assisted environment. J. Ambient. Intell. Humaniz. Comput. 4(2), 157–168 (2013)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity College LondonLondonUK
  2. 2.Digital City ExchangeImperial College Business SchoolLondonUK

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