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Internet of Things Shaping Smart Cities: A Survey

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Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

Part of the book series: Studies in Big Data ((SBD,volume 30))

Abstract

Driven by the advances in hardware and software technologies, the term Internet of things has emerged as a worldwide framework of ‘smart’ internet-based interconnected electronic devices through web having a significant impact in the betterment of our traditional living style. The use of these web connected embedded devices, as Information and communication technologies for re-shaping modern cities, lead to the concept of smart cities. This chapter surveys the most important domains of smart cities and illustrates the recent research and development in them. After identifying critical areas, the chapter also highlights and discusses the issues and research gaps in recent technologies. Finally, it presents the opportunities and research directions in future advancements of intelligent cities.

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References

  1. Aazam, M., Khan, I., Alsaffar, A. A., & Huh, E.-N. (2014). Cloud of things: Integrating Internet of things and cloud computing and the issues involved. In Proceedings of 2014 11th International Bhurban Conference on Applied Sciences & Technology (IBCAST) Islamabad, Pakistan, 14th–18th January, 2014 (pp. 414–419). IEEE.

    Google Scholar 

  2. Alam, M. R., Reaz, M. B. I., & Ali, M. A. M. (2012). A review of smart homes—Past, present, and future. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 42, 1190–1203.

    Article  Google Scholar 

  3. Aldrich, F. K. (2003). Smart homes: Past, present and future. In Inside the smart home (pp. 17–39). Berlin: Springer.

    Google Scholar 

  4. Amin, S. M., & Wollenberg, B. F. (2005). Toward a smart grid: Power delivery for the 21st century. IEEE Power and Energy Magazine, 3, 34–41.

    Article  Google Scholar 

  5. Atzori, L., Iera, A., & Morabito, G. (2010). The internet of things: A survey. Computer Networks, 54, 2787–2805.

    Article  MATH  Google Scholar 

  6. Augusto, J. C., & Nugent, C. D. (2006). Smart homes can be smarter. In Designing smart homes (pp. 1–15). Berlin: Springer.

    Google Scholar 

  7. Bekara, C. (2014). Security issues and challenges for the IoT-based smart grid. Procedia Computer Science, 34, 532–537.

    Article  Google Scholar 

  8. Benzi, F., Anglani, N., Bassi, E., & Frosini, L. (2011). Electricity smart meters interfacing the households. IEEE Transactions on Industrial Electronics, 58, 4487–4494.

    Article  Google Scholar 

  9. Berbers, Y., De Decker, B., Moons, H., & Verbaeten, P. (1987). The design of the HERMIX distributed system. In Proceedings of the 34th ISMM International Symposium Mini and Microcomputers.

    Google Scholar 

  10. Byun, J., Jeon, B., Noh, J., Kim, Y., & Park, S. (2012). An intelligent self-adjusting sensor for smart home services based on ZigBee communications. IEEE Transactions on Consumer Electronics, 58, 794–802.

    Article  Google Scholar 

  11. Chan, M., Campo, E., Estève, D., & Fourniols, J.-Y. (2009). Smart homes—Current features and future perspectives. Maturitas, 64, 90–97.

    Article  Google Scholar 

  12. Chan, M., Estève, D., Escriba, C., & Campo, E. (2008). A review of smart homes—Present state and future challenges. Computer Methods and Programs in Biomedicine, 91, 55–81.

    Article  Google Scholar 

  13. Chen, S., Xu, H., Liu, D., Hu, B., & Wang, H. (2014). A vision of IoT: Applications, challenges, and opportunities with china perspective. IEEE Internet of Things Journal, 1, 349–359.

    Article  Google Scholar 

  14. Chen, Y.-K., & Chien, S.-Y. (2012). Perpetual video camera for Internet-of-things. In Visual communications and image processing (VCIP), 2012 IEEE (pp. 1–7). IEEE.

    Google Scholar 

  15. Genge, B., Haller, P., Gligor, A., & Beres, A. (2014, May). An approach for cyber security experimentation supporting sensei/iot for smart grid. In 2nd International Symposium on Digital Forensics and Security.  

    Google Scholar 

  16. Chien, S.-Y., Chan, W.-K., Tseng, Y.-H., Lee, C.-H., Somayazulu, V. S., & Chen, Y.-K. (2015). Distributed computing in IoT: System-on-a-chip for smart cameras as an example. In The 20th Asia and South Pacific Design Automation Conference (pp. 130–135). IEEE.

    Google Scholar 

  17. Cho, M., Choi, H. R., & Kwak, C. (2015). A study on the navigation aids management based on IoT. International Journal of Control and Automation, 8, 193–204.

    Article  Google Scholar 

  18. Chourabi, H., Nam, T., Walker, S., Gil-Garcia, J. R., Mellouli, S., Nahon, K., et al. (2012). Understanding smart cities: An integrative framework. In System Science (HICSS), 2012 45th Hawaii International Conference on (pp. 2289–2297). IEEE.

    Google Scholar 

  19. Cities, S. (2013). Trace analysis and mining for smart cities: Issues, methods, and applications. IEEE Communications Magazine, 51, 121.

    Google Scholar 

  20. Clastres, C. (2011). Smart grids: Another step towards competition, energy security and climate change objectives. Energy Policy, 39, 5399–5408.

    Article  Google Scholar 

  21. Darianian, M., & Michael, M. P. (2008). Smart home mobile RFID-based Internet-of-things systems and services. In 2008 International Conference on Advanced Computer Theory and Engineering (pp. 116–120). IEEE.

    Google Scholar 

  22. Fang, X., Misra, S., Xue, G., & Yang, D. (2012). Smart grid—The new and improved power grid: A survey. IEEE Communications Surveys & Tutorials, 14, 944–980.

    Article  Google Scholar 

  23. Farhangi, H. (2010). The path of the smart grid. IEEE Power and Energy Magazine, 8, 18–28.

    Article  Google Scholar 

  24. Fischer, C. (2008). Feedback on household electricity consumption: A tool for saving energy? Energy Efficiency, 1, 79–104.

    Article  Google Scholar 

  25. Foschini, L., Taleb, T., Corradi, A., & Bottazzi, D. (2011). M2M-based metropolitan platform for IMS-enabled road traffic management in IoT. IEEE Communications Magazine, 49, 50–57.

    Article  Google Scholar 

  26. Garcia, F. D., & Jacobs, B. (2010). Privacy-friendly energy-metering via homomorphic encryption. In International Workshop on Security and Trust Management (pp. 226–238). Berlin: Springer.

    Google Scholar 

  27. Genge, B., Haller, P., Gligor, A., & Beres, A. (2014). An approach for cyber security experimentation supporting sensei/IoT for smart grid. In 2nd International Symposium on Digital Forensics and Security.

    Google Scholar 

  28. Genge, B., Siaterlis, C., & Hohenadel, M. (2012). Amici: An assessment platform for multi-domain security experimentation on critical infrastructures. In International Workshop on Critical Information Infrastructures Security (pp. 228–239). Berlin: Springer.

    Google Scholar 

  29. Goodspeed, T., Bratus, S., Melgares, R., Speers, R., & Smith, S. W. (2012). Api-do: Tools for exploring the wireless attack surface in smart meters. In System Science (HICSS), 2012 45th Hawaii International Conference on (pp. 2133–2140). IEEE.

    Google Scholar 

  30. Guesgen, H. W., & Marsland, S. (2016). Using contextual information for recognising human behaviour. International Journal of Ambient Computing and Intelligence (IJACI), 7, 27–44.

    Article  Google Scholar 

  31. Hall, P. (1988). Cities of tomorrow. Oxford: Blackwell Publishers.

    Google Scholar 

  32. Harrison, C., & Donnelly, I. A. (2011). A theory of smart cities. In Proceedings of the 55th Annual Meeting of the ISSS-2011, Hull, UK.

    Google Scholar 

  33. He, W., Yan, G., & Da Xu, L. (2014). Developing vehicular data cloud services in the IoT environment. IEEE Transactions on Industrial Informatics, 10, 1587–1595.

    Article  Google Scholar 

  34. Heer, T., Garcia-Morchon, O., Hummen, R., Keoh, S. L., Kumar, S. S., & Wehrle, K. (2011). Security challenges in the IP-based Internet of things. Wireless Personal Communications, 61, 527–542.

    Article  Google Scholar 

  35. Internet of things and big data technologies for next|Chintan Bhatt| Springer, n.d.

    Google Scholar 

  36. Jabłońska, M. R. (2014). Internet of things in smart grid deployment. Rynek Energii, 2, 111.

    Google Scholar 

  37. Kimbahune, V. V., Deshpande, A. V., & Mahalle, P. N. (2017). Lightweight key management for adaptive addressing in next generation Internet. International Journal of Ambient Computing and Intelligence (IJACI), 8, 50–69. doi:10.4018/IJACI.2017010103

    Article  Google Scholar 

  38. Kinney, P., et al. (2003). Zigbee technology: Wireless control that simply works. In Communications Design Conference (pp. 1–7).

    Google Scholar 

  39. Kinzer, S. (2004). Chicago moving to “smart” surveillance cameras. New York Times, A18.

    Google Scholar 

  40. Kopetz, H. (2011). Internet of things. In Real-Time Systems (pp. 307–323). Berlin: Springer.

    Google Scholar 

  41. Kortuem, G., Kawsar, F., Sundramoorthy, V., & Fitton, D. (2010). Smart objects as building blocks for the internet of things. IEEE Internet Computing, 14, 44–51.

    Article  Google Scholar 

  42. Le Blond, S. P., Holt, A., & White, P. (2012). 3eHouses: A smart metering pilot in UK living labs. In 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) (pp. 1–6). IEEE.

    Google Scholar 

  43. Li, F., Luo, B., & Liu, P. (2010). Secure information aggregation for smart grids using homomorphic encryption. In Smart Grid Communications (SmartGridComm), 2010 First IEEE International Conference on (pp. 327–332). IEEE.

    Google Scholar 

  44. Lichtensteiger, B., Bjelajac, B., Müller, C., & Wietfeld, C. (2010). RF mesh systems for smart metering: System architecture and performance. In Smart Grid Communications (SmartGridComm), 2010 First IEEE International Conference on (pp. 379–384). IEEE.

    Google Scholar 

  45. Liu, Z., & Yan, T. (2013). Study on multi-view video based on IOT and its application in intelligent security system. In Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on (pp. 1437–1440). IEEE.

    Google Scholar 

  46. Misbahuddin, S., Zubairi, J. A., Saggaf, A., Basuni, J., Sulaiman, A., Al-Sofi, A., et al. (2015). IoT based dynamic road traffic management for smart cities. In 2015 12th International Conference on High-Capacity Optical Networks and Enabling/Emerging Technologies (HONET) (pp. 1–5). IEEE.

    Google Scholar 

  47. Molderink, A., Bakker, V., Bosman, M. G., Hurink, J. L., & Smit, G. J. (2009). Domestic energy management methodology for optimizing efficiency in smart grids. In PowerTech, 2009 IEEE Bucharest (pp. 1–7). IEEE.

    Google Scholar 

  48. Molina-Markham, A., Shenoy, P., Fu, K., Cecchet, E., & Irwin, D. (2010). Private memoirs of a smart meter. In Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building (pp. 61–66). ACM.

    Google Scholar 

  49. Momoh, J. A. (2009). Smart grid design for efficient and flexible power networks operation and control. In Power Systems Conference and Exposition, 2009. PSCE’09. IEEE/PES (pp. 1–8). IEEE.

    Google Scholar 

  50. Najjar, M., Courtemanche, F., Hamam, H., Dion, A., & Bauchet, J. (2009). Intelligent recognition of activities of daily living for assisting memory and/or cognitively impaired elders in smart homes. International Journal of Ambient Computing and Intelligence (IJACI), 1, 46–62. doi:10.4018/jaci.2009062204

    Article  Google Scholar 

  51. Odella, F. (2016). Technology studies and the sociological debate on monitoring of social interactions. International Journal of Ambient Computing and Intelligence (IJACI), 7, 1–26. doi:10.4018/IJACI.2016010101

    Article  Google Scholar 

  52. Poland, M. P., Nugent, C. D., Wang, H., & Chen, L. (2011). Smart home research: Projects and issues. In Ubiquitous Developments in Ambient Computing and Intelligence: Human-Centered Applications (pp. 259–272). IGI Global.

    Google Scholar 

  53. Pupillo, L., D’Amelia, B., Garino, P., & Turolla, M. (2010). Energy smart metering and policy approaches: The E-cube project.

    Google Scholar 

  54. Satyanarayanan, M., Simoens, P., Xiao, Y., Pillai, P., Chen, Z., Ha, K., et al. (2015). Edge analytics in the internet of things. IEEE Pervasive Computing, 14, 24–31.

    Article  Google Scholar 

  55. Shapiro, J. M. (2006). Smart cities: Quality of life, productivity, and the growth effects of human capital. The Review of Economics and Statistics, 88, 324–335.

    Article  Google Scholar 

  56. Sigg, S., Shi, S., & Ji, Y. (2014). Teach your WiFi-device: Recognise simultaneous activities and gestures from time-domain RF-features. International Journal of Ambient Computing and Intelligence (IJACI), 6, 20–34.

    Article  Google Scholar 

  57. Solanki, V. K., Katiyar, S., BhashkarSemwal, V., Dewan, P., Venkatasen, M., & Dey, N. (2016). Advanced automated module for smart and secure city. Procedia Computer Science, 78, 367–374.

    Article  Google Scholar 

  58. Tamane, S., Solanki, V. K., & Dey, N. (2001). Privacy and security policies in big data. IGI Global.

    Google Scholar 

  59. van Rysewyk, S. (2014). Robot pain.

    Google Scholar 

  60. Vlacheas, P., Giaffreda, R., Stavroulaki, V., Kelaidonis, D., Foteinos, V., Poulios, G., et al. (2013). Enabling smart cities through a cognitive management framework for the internet of things. IEEE Communications Magazine, 51, 102–111.

    Article  Google Scholar 

  61. Wang, W., & Lu, Z. (2013). Cyber security in the smart grid: Survey and challenges. Computer Networks, 57, 1344–1371.

    Article  Google Scholar 

  62. Weiss, M., Mattern, F., Graml, T., Staake, T., & Fleisch, E. (2009). Handy feedback: Connecting smart meters with mobile phones. In Proceedings of the 8th International Conference on Mobile and Ubiquitous Multimedia (p. 15). ACM.

    Google Scholar 

  63. Whitmore, A., Agarwal, A., & Da Xu, L. (2015). The Internet of things—A survey of topics and trends. Information Systems Frontiers, 17, 261–274.

    Article  Google Scholar 

  64. Wolde-Rufael, Y. (2006). Electricity consumption and economic growth: A time series experience for 17 African countries. Energy Policy, 34, 1106–1114.

    Article  Google Scholar 

  65. Wolf, W., Ozer, B., & Lv, T. (2002). Smart cameras as embedded systems. Computer, 35, 48–53.

    Article  Google Scholar 

  66. Yoo, S.-H. (2005). Electricity consumption and economic growth: Evidence from Korea. Energy Policy, 33, 1627–1632.

    Article  Google Scholar 

  67. Zheng, H., Wang, H., & Black, N. (2008). Human activity detection in smart home environment with self-adaptive neural networks. In Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on (pp. 1505–1510). IEEE.

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland

    Arsalan Shahid

  2. Department of Electrical Engineering, HITEC University Taxila, Taxila, Pakistan

    Bilal Khalid & Shahtaj Shaukat

  3. Department of Computer Science & Engineering, HITEC University Taxila, Taxila, Pakistan

    Hashim Ali

  4. School of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, UK

    Muhammad Yasir Qadri

Authors
  1. Arsalan Shahid
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  2. Bilal Khalid
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  3. Shahtaj Shaukat
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  4. Hashim Ali
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  5. Muhammad Yasir Qadri
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Correspondence to Arsalan Shahid .

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Editors and Affiliations

  1. Techno India College of Technology , Kolkata, West Bengal, India

    Nilanjan Dey

  2. Cairo University , Cairo, Egypt

    Aboul Ella Hassanien

  3. Charotar University of Science and Tech , Changa, Gujarat, India

    Chintan Bhatt

  4. Tanta University , Tanta, Egypt

    Amira S. Ashour

  5. Dept of Computer Science and Engg, PVP Siddhartha Institute of Technology Dept of Computer Science and Engg, Vijayawada, Andhra Pradesh, India

    Suresh Chandra Satapathy

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Shahid, A., Khalid, B., Shaukat, S., Ali, H., Qadri, M.Y. (2018). Internet of Things Shaping Smart Cities: A Survey. In: Dey, N., Hassanien, A., Bhatt, C., Ashour, A., Satapathy, S. (eds) Internet of Things and Big Data Analytics Toward Next-Generation Intelligence. Studies in Big Data, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-319-60435-0_14

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  • DOI: https://doi.org/10.1007/978-3-319-60435-0_14

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