Abstract
The concept of a Smart City Ecosystem has garnered significant attention due to its potential to revolutionize urban living through advanced technologies and data-driven solutions. This chapter explores the multifaceted dimensions of this ecosystem by delving into its requirements, architecture, applications, security considerations, and the open research questions it present. In the realm of requirements, it highlights the intricate balance between technological innovation, social inclusivity, economic sustainability, and environmental preservation that smart cities demand. It navigates these requirements’ challenges, shedding light on the trade-offs and synergies with which city planners and stakeholders must grapple. The chapter provides a comprehensive overview of the foundational structure of a smart city ecosystem. It dissects the intricate web of interconnected components, layers, and communication infrastructures that underpin its functionality. The architecture’s complexity is unraveled by examining the integration of diverse technologies and data sources. The diverse applications enabled by the smart city ecosystem are categorized across sectors such as transportation, energy, healthcare, and more. These applications are explored in detail, demonstrating their potential to enhance efficiency, sustainability, and citizen well-being. Real-world examples are presented, showcasing the transformative impact of these innovations. Security is critical in this ecosystem, as interconnectivity introduces new vulnerabilities. The chapter discusses the intricate web of security challenges encompassing data privacy, cybersecurity, and potential threats. Strategies and best practices for safeguarding smart city systems are highlighted, underscoring the paramount importance of secure design and operation. Then, it raises Open Research Questions that underscore the dynamic nature of the smart city landscape. It identifies areas where further exploration is needed, including the integration of emerging technologies, ethical considerations, and the societal impacts of data-centric urban environments. These questions beckon researchers and practitioners to actively shape the trajectory of smart city development.
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References
Ahmed, S. T., Basha, S. M., Ramachandran, M., Daneshmand, M., & Gandomi, A. H. (2023). An edge-AI enabled autonomous connected ambulance route resource recommendation protocol (ACA-R3) for eHealth in smart cities. IEEE Internet of Things Journal. https://doi.org/10.1109/JIOT.2023.3243235
Aldhyani, T. H. H., Khan, M. A., Almaiah, M. A., Alnazzawi, N., Hwaitat, A. K. A., Elhag, A., Shehab, R. T., & Alshebami, A. S. (2023). A secure internet of medical things framework for breast cancer detection in sustainable smart cities. Electronics (Switzerland), 12(4). https://doi.org/10.3390/electronics12040858
Aldossary, M. (2023). Multi-layer fog-cloud architecture for optimizing the placement of IoT applications in smart cities. Computers, Materials and Continua, 75(1). https://doi.org/10.32604/cmc.2023.035414
Alwakeel, A., Alwakeel, M., Zahra, S. R., Saleem, T. J., Hijji, M., Alwakeel, S. S., Alwakeel, A. M., & Alzorgi, S. (2023). Common mental disorders in smart city settings and use of multimodal medical sensor fusion to detect them. Diagnostics, 13(6). https://doi.org/10.3390/diagnostics13061082
AlZu’bi, S., Elbes, M., Mughaid, A., Bdair, N., Abualigah, L., Forestiero, A., & Zitar, R. A. (2023). Diabetes monitoring system in smart health cities based on big data intelligence. Future Internet, 15(2). https://doi.org/10.3390/fi15020085
Badr, N. G. (2023). Smart cities for people with IDD—Foundations for digitally inclusive healthcare ecosystems. ITM Web of Conferences, 51. https://doi.org/10.1051/itmconf/20235104002
Berawi, M. A. (2023). Smart cities: Accelerating sustainable development agendas. International Journal of Technology, 14(1). https://doi.org/10.14716/ijtech.v14i1.6323
Cabrera, C., Svorobej, S., Palade, A., Kazmi, A., & Clarke, S. (2023). MAACO: A dynamic service placement model for smart cities. IEEE Transactions on Services Computing, 16(1). https://doi.org/10.1109/TSC.2022.3143029
Chakraborty, A., Banerjee, J. S., Bhadra, R., Dutta, A., Ganguly, S., Das, D., Kundu, S., Mahmud, M., & Saha, G. (2023). A framework of intelligent mental health monitoring in smart cities and societies. IETE Journal of Research. https://doi.org/10.1080/03772063.2023.2171918
Dutta, A., Kovid, R. K., Thatha, M., & Gupta, J. (2023). Adoption of IoT-based healthcare devices: An empirical study of end consumers in an emerging economy. Paladyn, 14(1). https://doi.org/10.1515/pjbr-2022-0106
El-Fouly, F. H., Kachout, M., Alharbi, Y., Alshudukhi, J. S., Alanazi, A., & Ramadan, R. A. (2023). Environment-aware energy efficient and reliable routing in real-time multi-sink wireless sensor networks for smart cities applications. Applied Sciences (Switzerland), 13(1). https://doi.org/10.3390/app13010605
El-Shafai, W., Ali, R., Sedik, A., Taha, T. E. S., Abd-Elnaby, M., & Abd El-Samie, F. E. (2023). Analysis of brain MRI: AI-assisted healthcare framework for the smart cities. Intelligent Automation and Soft Computing, 35(2). https://doi.org/10.32604/iasc.2023.019198
Fan, J., Yang, W., Liu, Z., Kang, J., Niyato, D., Lam, K. Y., & Du, H. (2023). Understanding security in smart city domains from the ANT-centric perspective. IEEE Internet of Things Journal. https://doi.org/10.1109/JIOT.2023.3252040
Fong, B., Kim, H., & Sai, V. (2023). Special section: Consumer healthcare technologies in smart cities. IEEE Consumer Electronics Magazine. https://doi.org/10.1109/MCE.2023.3245303
Gagliardi, A. R., & Albergo, F. (2023). The rise of smart healthcare in smart cities: A bibliometric literature review and avenue for a research agenda. ITM Web of Conferences, 51. https://doi.org/10.1051/itmconf/20235103002
Joe, S. S. A., Mary, S. J. J., Cordova, R. S., Kalash, H. S., & Al-Badi, A. (2023). IoT-based smart campus monitoring based on an improved chimp optimization-based deep belief neural network. Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 11(1). https://doi.org/10.52549/ijeei.v11i1.4410
Jun, Y., Craig, A., Shafik, W., & Sharif, L. (2021). Artificial intelligence application in cybersecurity and cyberdefense. In Wireless communications and mobile computing (Vol. 2021). https://doi.org/10.1155/2021/3329581
Kushwaha, R., Shambharkar, R., Gupta, S., & Malik, M. (2023). Integration of block chain model for energy efficient WSN for IOT application. International Journal for Research in Applied Science and Engineering Technology, 11(2). https://doi.org/10.22214/ijraset.2023.48942
Mengash, H. A., Alharbi, L. A., Alotaibi, S. S., AlMuhaideb, S., Nemri, N., Alnfiai, M. M., Marzouk, R., Salama, A. S., & Duhayyim, M. A. (2023). Deep learning enabled intelligent healthcare management system in smart cities environment. Computers, Materials and Continua, 74(2). https://doi.org/10.32604/cmc.2023.032588
Mohammed, B. G., & Hasan, D. S. (2023). Smart healthcare monitoring system using IoT. International Journal of Interactive Mobile Technologies, 17(1). https://doi.org/10.3991/ijim.v17i01.34675
Pandya, S., Srivastava, G., Jhaveri, R., Babu, M. R., Bhattacharya, S., Maddikunta, P. K. R., Mastorakis, S., Piran, M. J., & Gadekallu, T. R. (2023). Federated learning for smart cities: A comprehensive survey. Sustainable Energy Technologies and Assessments, 55. https://doi.org/10.1016/j.seta.2022.102987
Reddy Yeruva, A. (2023). Providing a personalized healthcare service to the patients using AIOPs monitoring. Eduvest—Journal of Universal Studies, 3(2). https://doi.org/10.36418/eduvest.v3i2.742
Samy-El Menchawy, A., Hassan Moustafa, H., & Ibrahim Abdel-Hamid, N. (2023). Smart capital cities: Towards a smart new administrative capital (NAC). F1000Research, 12. https://doi.org/10.12688/f1000research.130322.1
Shafik, W. (2023a). A comprehensive cybersecurity framework for present and future global information technology organizations. https://doi.org/10.4018/978-1-6684-9018-1.ch002
Shafik, W. (2023b). Cyber security perspectives in public spaces: Drone case study. In Handbook of research on cybersecurity risk in contemporary business systems. https://doi.org/10.4018/978-1-6684-7207-1.ch004
Shafik, W. (2023c). Making cities smarter: IoT and SDN applications, challenges, and future trends. In Opportunities and challenges of industrial IoT in 5G and 6G networks (pp. 73–94). IGI Global. https://doi.org/10.4018/978-1-7998-9266-3.ch004
Shafik, W. (2024a). Blockchain-based internet of things (B-IoT): Challenges, solutions, opportunities, open research questions, and future trends. In Blockchain-based internet of things (pp. 35–58).
Shafik, W. (2024b). Introduction to ChatGPT. In Advanced applications of generative AI and natural language processing models (pp. 1–25). IGI Global. https://doi.org/10.4018/979-8-3693-0502-7.ch001
Shafik, W. (2024c). Navigating emerging challenges in robotics and artificial intelligence in Africa. In Examining the rapid advance of digital technology in Africa (pp. 124–144). IGI Global. https://doi.org/10.4018/978-1-6684-9962-7.ch007
Shafik, W. (2024d). Predicting future cybercrime trends in the metaverse era. In Forecasting cyber crimes in the age of the metaverse (pp. 78–113). IGI Global. https://doi.org/10.4018/979-8-3693-0220-0.ch005
Shafik, W., Matinkhah, S. M., & Ghasemazade, M. (2019). Fog-mobile edge performance evaluation and analysis on internet of things. Journal of Advance Research in Mobile Computing, 1(3), 1–17. https://doi.org/10.5281/zenodo.3591228
Shafik, W., Matinkhah, S. M., & Ghasemzadeh, M. (2020). Internet of things-based energy management, challenges, and solutions in smart cities. Journal of Communications Technology, Electronics and Computer Science, 27, 1–11. https://doi.org/10.22385/jctecs.v27i0.302
Shafik, W., Matinkhah, S. M., & Shokoor, F. (2023). Cybersecurity in unmanned aerial vehicles: A review. International Journal on Smart Sensing and Intelligent Systems, 16(1). https://doi.org/10.2478/ijssis-2023-0012
Sharma, O., Rathee, G., Kerrache, C. A., & Herrera-Tapia, J. (2023). Two-stage optimal task scheduling for smart home environment using fog computing infrastructures. Applied Sciences (Switzerland), 13(5). https://doi.org/10.3390/app13052939
Tareen, F. N., Alvi, A. N., Malik, A. A., Javed, M. A., Khan, M. B., Saudagar, A. K. J., Alkhathami, M., & Abul Hasanat, M. H. (2023). Efficient load balancing for Blockchain-based healthcare system in smart cities. Applied Sciences (Switzerland), 13(4). https://doi.org/10.3390/app13042411
Tripathi, A. K., Akul Krishnan, K., & Pandey, A. C. (2023). A novel blockchain and internet of things-based food traceability system for smart cities. Wireless Personal Communications. https://doi.org/10.1007/s11277-023-10230-9
Tripathy, S. S., Imoize, A. L., Rath, M., Tripathy, N., Bebortta, S., Lee, C. C., Chen, T. Y., Ojo, S., Isabona, J., & Pani, S. K. (2023). A novel edge-computing-based framework for an intelligent smart healthcare system in smart cities. Sustainability (Switzerland), 15(1). https://doi.org/10.3390/su15010735
Wang, Y., Shafik, W., Seong, J. T., Al Mutairi, A., Mustafa, M. S., & Mouhamed, M. R. (2023). Service delay and optimization of the energy efficiency of a system in fog-enabled smart cities. Alexandria Engineering Journal, 84, 112–125. https://doi.org/10.1016/j.aej.2023.10.034
Yang, Z., Jianjun, L., Faqiri, H., Shafik, W., Talal Abdulrahman, A., Yusuf, M., & Sharawy, A. M. (2021). Green internet of things and big data application in smart cities development. Complexity, 2021. https://doi.org/10.1155/2021/4922697
Zakari, R. Y., Shafik, W., Kalinaki, K., & Iheaturu, C. J. (2024). Internet of forestry things (IoFT) technologies and applications in Forest management. In Advanced IoT technologies and applications in the industry 4.0 digital economy (pp. 275–295). CRC Press. https://doi.org/10.1201/9781003434269-15
Zakzouk, A., El-Sayed, A., & Hemdan, E. E. D. (2023). A blockchain-based electronic medical records management framework in smart healthcare infrastructure. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-15152-z
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Shafik, W. (2024). Sha** the Next Generation Smart City Ecosystem: An Investigation on the Requirements, Applications, Architecture, Security and Privacy, and Open Research Questions. In: Majumdar, S., Kandpal, V., Anthopoulos, L.G. (eds) Smart Cities. S.M.A.R.T. Environments. Springer, Cham. https://doi.org/10.1007/978-3-031-59846-3_1
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