IoT Based Urban Monitoring Systems for Energy Efficiency and Sustainability: Evidence from Saudi Arabia

References

[1] Atzori, L., Iera, A., &Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787–2805.

[2] Zanella, A., Bui, N., Castellani, A., Vangelista, L., &Zorzi, M. (2014). Internet of Things for smart cities. IEEE Internet of Things Journal, 1(1), 22–32.

[3] Gubbi, J., Buyya, R., Marusic, S., &Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660.

[4] Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., &Ayyash, M. (2015). Internet of Things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17(4), 2347–2376.

[5] Batty, M., Axhausen, K. W., Giannotti, F., et al. (2012). Smart cities of the future. European Physical Journal Special Topics, 214(1), 481–518.

[6] Rathore, M. M., Paul, A., Hong, W. H., Seo, H., Awan, I., & Saeed, S. (2018). Exploiting IoT and big data analytics: Defining smart digital city using real-time urban data. Sustainable Cities and Society, 40, 600–610.

[7] Bibri, S. E., &Krogstie, J. (2017). Smart sustainable cities of the future: An extensive interdisciplinary literature review. Sustainable Cities and Society, 31, 183–212.

[8] Zhou, K., Fu, C., & Yang, S. (2016). Big data driven smart energy management: From big data to big insights. Renewable and Sustainable Energy Reviews, 56, 215–225.

[9] Molina-Solana, M., Ros, M., Ruiz, M. D., Gómez-Romero, J., & Martín-Bautista, M. J. (2017). Data science for building energy management. Renewable and Sustainable Energy Reviews, 70, 598–609.

[10] Wang, S., & Ma, Z. (2008). Supervisory and optimal control of building HVAC systems. HVAC&R Research, 14(1), 3–32.

[11] Chen, M., Mao, S., & Liu, Y. (2014). Big data: A survey. Mobile Networks and Applications, 19(2), 171–209.

[12] Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016). Edge computing: Vision and challenges. IEEE Internet of Things Journal, 3(5), 637–646.

[13] Satyanarayanan, M. (2017). The emergence of edge computing. Computer, 50(1), 30–39.

[14] Xu, X., Zhang, Q., Chen, J., & He, D. (2018). Energy-efficient IoT-based smart building monitoring system. IEEE Access, 6, 34043–34056.

[15] Li, X., Zhang, L., Wang, Z., & Wu, J. (2019). A smart street lighting system based on IoT technology. IEEE Sensors Journal, 19(9), 3213–3222.

[16] López, G., Moura, P., Moreno, J. I., & Camacho, E. F. (2014). Multi-agent system for energy management in smart grids. IEEE Transactions on Smart Grid, 5(2), 937–947.

[17] Hong, T., Sun, H., Chen, Y., Taylor-Lange, S. C., & Yan, D. (2016). An occupant behavior modeling tool for building performance simulation. Energy and Buildings, 117, 272–281.

[18] Ahmad, T., Chen, H., &Guo, Y. (2018). Review of data-driven building energy consumption prediction studies. Renewable and Sustainable Energy Reviews, 98, 108–128.

[19] Ali, Z., Henna, S., &Hannan, M. A. (2021). Intelligent energy management systems for smart cities: A review. Energy Reports, 7, 4123–4149.

[20] Kitchin, R. (2014). The real-time city? Big data and smart urbanism. GeoJournal, 79(1), 1–14.

[21] United Nations. (2019). World Urbanization Prospects. UN Department of Economic and Social Affairs.

[22] International Energy Agency (IEA). (2022). Energy Efficiency 2022. Paris: IEA.

[23] ISO/IEC. (2019). ISO/IEC 30141: Internet of Things Reference Architecture. International Organization for Standardization.

[24] Gartner. (2020). Market Guide for Smart City Technologies and Solutions.

[25] Al Nuaimi, E., Al Neyadi, H., Mohamed, N., & Al-Jaroodi, J. (2015). Applications of big data to smart cities. Journal of Internet Services and Applications, 6(1), 25.

@article{1714519,
      author = {Eqrarul Haque},
      title = {IoT Based Urban Monitoring Systems for Energy Efficiency and Sustainability: Evidence from Saudi Arabia},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {8},
      pages = {1502-1514},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1714519.pdf},
      abstract = {Significantly, urban centers are responsible for huge percentages of energy consumption. Most of this energy is used for buildings, public lighting, and infrastructure. Energy efficiency is an essential aspect in attaining sustainability in arid regions such as Saudi Arabia, which are mostly urbanized. The paper aims to explore how Internet of Things (IoT) technology can be used to attain energy efficiency and sustainability in urban regions. The research paper will use Saudi Arabia as a case example. The paper will discuss an IoT architecture to be used to attain energy efficiency in urban regions. The IoT architecture is composed of different layers, such as distributed sensors, communication networks, edge computing, and cloud computing. The potential impacts of deploying IoT technology to attain energy efficiency are analyzed in this paper. The potential impacts are analyzed using a mixed approach. The paper presents some practical implications that are essential in guiding policymakers and organizations to attain energy efficiency through deploying IoT technology.},
      keywords = {Internet of Things (IoT); Smart Cities; Urban Monitoring; Energy Efficiency; Sustainability; Edge Computing; Saudi Arabia},
      month = {February},
      doi = {https://doi.org/10.64388/IREV9I8-1714519}
  }