Skip to main content

A Review of IoT Applications in Smart Environments: From Smart Cities to Military Integration

  • Conference paper
  • First Online:
Advances in Intelligent Computing Techniques and Applications (IRICT 2023)

Abstract

Internet of Things (IoT) is a rapidly developing network of communication that enables data sharing and real-time analytics among physical objects. It has numerous applications in military operations, smart cities, environmental monitoring, purchasing, and livestock management. To provide a comprehensive overview of the topic, this study conducts a thorough review of the relevant literature and research papers. A detailed analysis of IoT applications in various fields, including smart cities, environmental monitoring, purchasing, livestock management, and military operations, is presented. The paper also examines the impact of IoT technologies on each sector, concluding that IoT integration enhances resource utilization and service delivery in the context of smart cities. IoT-driven data analysis benefits environmental monitoring by facilitating pollution control and weather forecasting. Through the use of IoT, the supply chain management and efficiency of the procurement sector have improved. IoT enables enhanced productivity and real-time animal health monitoring in the live-stock sector. Remote automation and surveillance are also made possible by the use of IoT in military applications. The results highlight how IoT technologies can optimize operations, sustainability, and resource management across a wide range of domains. To ensure the best possible use of IoT in each sector, ongoing research and development are needed to address challenges related to data security and interoperability.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Chataut, R., Phoummalayvane, A., Akl, R.: Unleashing the power of iot: a comprehensive review of iot applications and future prospects in healthcare, agriculture, smart homes, smart cities, and industry 4.0. Sensors 23(16), 7194 (2023)

    Article  Google Scholar 

  2. Gaber, T., El-Ghamry, A., Hassanien, A.E.: Injection attack detection using machine learning for smart iot applications. Phys. Commun. 52, 101685 (2022)

    Article  Google Scholar 

  3. Fazea, Y., Mohammed, F., Al-Nahari, A.: A review on 5G technology in IoT-application based on light fidelity (Li-Fi) indoor communication. In: Saeed, F., Mohammed, F., Ghaleb, F. (eds.) IRICT 2021. LNDECT, vol. 127, pp. 371–384. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-98741-1_31

    Chapter  Google Scholar 

  4. Kalita, A., Khatua, M.: 6tisch–ipv6 enabled open stack iot network formation: a review. ACM Trans. Internet Things 3(3), 1–36 (2022)

    Article  Google Scholar 

  5. Rani, S., Bhambri, P., Kataria, A.: Integration of iot, big data, and cloud computing technologies. In: Big Data, Cloud Computing and IoT: Tools and Applications (2023)

    Google Scholar 

  6. Arasteh, H., et al.: Iot-based smart cities: a survey. In: 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC), pp. 1–6. IEEE (2016)

    Google Scholar 

  7. Sehrawat, D., Gill, N.S.: Security requirements of iot applications in smart environment. In: 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI), pp. 324–329. IEEE (2018)

    Google Scholar 

  8. Balakumar, P., Vinopraba, T., Chandrasekaran, K.: Real time implementation of demand side management scheme for iot enabled pv integrated smart residential building. J. Build. Eng. 52, 104485 (2022)

    Article  Google Scholar 

  9. Mughees, A., et al.: Energy-efficient joint resource allocation in 5g hetnet using multi-agent parameterized deep reinforcement learning. Phys. Commun. 61, 102206 (2023)

    Article  Google Scholar 

  10. Mora, H., Peral, J., Ferrandez, A., Gil, D., Szymanski, J.: Distributed architectures for intensive urban computing: a case study on smart lighting for sustainable cities. IEEE Access 7, 58449–58465 (2019)

    Article  Google Scholar 

  11. Li, P.: The hazards and protection measures against electromagnetic radiation generated by household appliances. Acad. J. Sci. Technol. 7(3), 284–286 (2023)

    Article  MathSciNet  Google Scholar 

  12. Joseph, S.B., Dada, E.G., Yakubu, J.H., Moses, E.I.: Design and modeling of smart home with internet of things enabled automation and control system. Covenant J. Eng. Technol. (2023)

    Google Scholar 

  13. Sahasika, M.P., Pratiwi, D., Santoso, G.B.: Visualization of home security sensor system based on iot server. Qeios (2023)

    Google Scholar 

  14. Song, T., Li, R., Mei, B., Yu, J., Xing, X., Cheng, X.: A privacy preserving communication protocol for iot applications in smart homes. IEEE Internet Things J. 4(6), 1844–1852 (2017)

    Article  Google Scholar 

  15. Mainetti, L., Patrono, L., Stefanizzi, M.L., Vergallo, R.: A smart parking system based on iot protocols and emerging enabling technologies. In: 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), pp. 764–769. IEEE (2015)

    Google Scholar 

  16. Ghaleb, F.A., et al.: Deep kalman neuro fuzzy-based adaptive broadcasting scheme for vehicular ad hoc network: a context-aware approach. IEEE Access 8, 217744–217761 (2020)

    Article  Google Scholar 

  17. Rabby, M.K.M., Islam, M.M., Imon, S.M.: A review of iot application in a smart traffic management system. In: 2019 5th International Conference on Advances in Electrical Engineering (ICAEE), pp. 280–285. IEEE (2019)

    Google Scholar 

  18. Liu, C., Ke, L.: Cloud assisted internet of things intelligent transportation system and the traffic control system in the smart city. J. Control Decis. 10(2), 174–187 (2023)

    Article  Google Scholar 

  19. Oladimeji, D., Gupta, K., Kose, N.A., Gundogan, K., Ge, L., Liang, F.: Smart transportation: an overview of technologies and applications. Sensors 23(8), 3880 (2023)

    Article  Google Scholar 

  20. Jyothi, S.N., Vardhan, K.V.: Design and implementation of real time security surveillance system using iot. In: 2016 International Conference on Communication and Electronics Systems (ICCES), pp. 1–5. IEEE (2016)

    Google Scholar 

  21. Mughees, A., Tahir, M., Sheikh, M.A., Ahad, A.: Energy-efficient load-aware user association in ultra-dense wireless network. In: 2021 26th IEEE Asia-Pacific Conference on Communications (APCC), pp. 254–259. IEEE (2021)

    Google Scholar 

  22. Chandra, B.R., Teja, T., Thirupathaiah, S., Shashavali, S., Khan, P.S.: Monitoring vehicle noise and pollution with a smart iot system. J. Artif. Intell. Mach. Learn. Neural Netw. (JAIMLNN) 3(01), 47–58 (2023). ISSN: 2799–1172

    Google Scholar 

  23. Kamaruidzaman, N., Rahmat, S.N.: Water monitoring system embedded with internet of things (iot) device: a review. In: IOP Conference Series: Earth and Environmental Science, vol. 498, no. 1, p. 012068. IoP Publishing (2020)

    Google Scholar 

  24. Malleswari, S., Mohana, T.K.: Air pollution monitoring system using iot devices. Mater. Today: Proc. 51, 1147–1150 (2022)

    Google Scholar 

  25. Rejeb, A., Rejeb, K., Treiblmaier, H., Appolloni, A., Alghamdi, S., Alhasawi, Y., Iranmanesh, M.: The internet of things (iot) in healthcare: taking stock and moving forward. Internet Things 22, 100721 (2023)

    Article  Google Scholar 

  26. Zhang, G., Navimipour, N.J.: A comprehensive and systematic review of the iot- based medical management systems: applications, techniques, trends and open issues. Sustain. Cities Soc. 82, 103914 (2022)

    Article  Google Scholar 

  27. Ahmetoglu, S., Cob, Z.C., Ali, N.: A systematic review of internet of things adoption in organizations: taxonomy, benefits, challenges and critical factors. Appl. Sci. 12(9), 4117 (2022)

    Article  Google Scholar 

  28. Ahad, A., Tahir, M., Sheikh, M.A.S., Mughees, A., Ahmed, K.I.: Optimal route selection in 5g-based smart health-care network: a reinforcement learning approach. In: 2021 26th IEEE Asia-Pacific Conference on Communications (APCC), pp. 248–253. IEEE (2021)

    Google Scholar 

  29. Iwasaki, W., Morita, N., Nagata, M.P.B.: Iot sensors for smart livestock management. In: Chemical, Gas, and Biosensors for Internet of Things and Related Applications, pp. 207–221. Elsevier (2019)

    Google Scholar 

  30. Gotarane, V., Raskar, S.: Iot practices in military applications. In: 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), pp. 891–894. IEEE (2019)

    Google Scholar 

  31. Kaarlenkaski, T.: Cows and humans as technology users: multispecies agency and gender in automated milking systems in finland. Technol. Cult. 64(4), 1093–1119 (2023)

    Article  Google Scholar 

  32. Gehlot, A., Malik, P.K., Singh, R., Akram, S.V., Alsuwian, T.: Dairy 4.0: intelligent communication ecosystem for the cattle animal welfare with blockchain and iot enabled technologies. Appl. Sci. 12(14), 7316 (2022)

    Article  Google Scholar 

  33. Dutta, D., Natta, D., Mandal, S., Ghosh, N.: Moonitor: an iot based multi-sensory intelligent device for cattle activity monitoring. Sens. Actuators A 333, 113271 (2022)

    Article  Google Scholar 

  34. Banafaa, M., et al.: 6g mobile communication technology: requirements, targets, applications, challenges, advantages, and opportunities. Alex. Eng. J. 64, 245–274 (2023)

    Article  Google Scholar 

  35. Johnsen, F.T., et al.: Application of iot in military operations in a smart city. In: 2018 International Conference on Military Communications and Information Systems (ICMCIS), pp. 1–8. IEEE (2018)

    Google Scholar 

  36. Riberto, G., Govoni, M., Stefanelli, C., Suri, N., Tortonesi, M.: Leveraging civilian iot infrastructures to support warfighting activities in urban environments. In: 2018 IEEE 4th World Forum on Internet of Things (WF-IoT), pp. 118–123. IEEE (2018)

    Google Scholar 

Download references

Acknowledgements

This research is funded by A’Sharqiyah University in the Sultanate of Oman through Research Project under grant number (BFP/RGP/ICT/22/490).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Abdulaziz Alashbi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Alashbi, A., Mohamed, A.H., Shayea, I., El-Saleh, A.A., Ahad, A. (2024). A Review of IoT Applications in Smart Environments: From Smart Cities to Military Integration. In: Saeed, F., Mohammed, F., Fazea, Y. (eds) Advances in Intelligent Computing Techniques and Applications. IRICT 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-031-59707-7_16

Download citation

Publish with us

Policies and ethics