Skip to main content
SpringerLink
Log in

Internet of Things and Sustainability: A Literature Review

  • Conference paper
  • First Online:
Transfer, Diffusion and Adoption of Next-Generation Digital Technologies (TDIT 2023)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 699))

Included in the following conference series:

  • 265 Accesses

Abstract

The purpose of this study is to review the literature of Internet of things research in the sustainability domain. We used keyword co-occurrence analysis to identify the newly emerging areas keeping ‘internet of things’ and ‘sustainability’ as central themes. The findings indicate energy management, smart cities, industry 4.0, artificial intelligence, smart water management, supply chain management, smart farming, and digital transformation as key emerging areas. Further, we found a strong connection between energy efficiency, IoT, and AI research. The study also highlights the usage of emerging technologies like blockchain, machine learning, digital twins, cyber-physical system, etc. contributing towards the sustainable development goals.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 119.99
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. Ma, J.: Internet-of-Things: technology evolution and challenges. In: 2014 IEEE MTT-S International Microwave Symposium (IMS2014), pp. 1–4 (2014)

    Google Scholar 

  2. Chatterjee, S., Kar, A.K., Dwivedi, Y.K.: Intention to use IoT by aged Indian consumers. J. Comput. Inf. Syst. 62(4), 655–666 (2022)

    Google Scholar 

  3. Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of Things (IoT): a vision, architectural elements, and future directions. Futur. Gener. Comput. Syst. 29(7), 1645–1660 (2013)

    Article  Google Scholar 

  4. Internet of Things [IoT] Market Size, Share & Trends (2023). https://www.globenewswire.com/news-release/2022/08/03/2491076/0/en/With-26-4-CAGR-Internet-of-Things-IoT-Market-Worth-USD-2465-26-Billion-by-2029.html. Accessed 29 June 2023

  5. White, M.A.: Sustainability: i know it when i see it. Ecol. Econ. 86, 213–217 (2013)

    Article  Google Scholar 

  6. Dwivedi, Y.K., et al.: Climate change and COP26: are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action. Int. J. Inf. Manag. 63, 102456 (2022)

    Article  Google Scholar 

  7. Modarress Fathi, B., Ansari, A., Ansari, A.: Threats of Internet-of-Thing on environmental sustainability by E-waste. Sustainability 14(16), 10161 (2022)

    Google Scholar 

  8. Grover, P., Kar, A.K.: Big data analytics: a review on theoretical contributions and tools used in literature. Glob. J. Flex. Syst. Manag. 18(3), 203–229 (2017)

    Article  Google Scholar 

  9. Santillo, D.: Reclaiming the definition of sustainability (7 pp). Environ. Sci. Pollut. Res. Int. 14(1), 60–66 (2007)

    Article  Google Scholar 

  10. United Nations. Sustainable Development Goals: 17 Goals to Transform Our World. https://www.un.org/sustainabledevelopment/development-agenda-retired/. Accessed 29 June 2023

  11. Verma, N., Khatri, P.: The nomological network of organizational attachment: a systematic review approach. J. Decis. Syst. 1–22 (2021)

    Google Scholar 

  12. Lim, W.M., Rasul, T., Kumar, S., Ala, M.: Past, present, and future of customer engagement. J. Bus. Res. 140, 439–458 (2022)

    Article  Google Scholar 

  13. Kushwaha, A.K., Kar, A.K., Dwivedi, Y.K.: Applications of big data in emerging management disciplines: a literature review using text mining. Int. J. Inf. Manag. Data Insights 1(2), 100017 (2021)

    Google Scholar 

  14. Strong, R., Wynn, J.T., Lindner, J.R., Palmer, K.: Evaluating Brazilian agriculturalists’ IoT smart agriculture adoption barriers: understanding stakeholder salience prior to launching an innovation. Sensors 22(18) (2022)

    Google Scholar 

  15. Glória, A., Cardoso, J., Sebastião, P.: Sustainable irrigation system for farming supported by machine learning and real-time sensor data. Sensors 21(9) (2021)

    Google Scholar 

  16. Han, T., Zhang, L., Pirbhulal, S., Wu, W., de Albuquerque, V.H.C.: A novel cluster head selection technique for edge-computing based IoMT systems. Comput. Netw. 158, 114–122 (2019)

    Article  Google Scholar 

  17. Pincheira, M., Vecchio, M., Giaffreda, R., Kanhere, S.S.: Cost-effective IoT devices as trustworthy data sources for a blockchain-based water management system in precision agriculture. Comput. Electron. Agric. 180 (2021)

    Google Scholar 

  18. Verdouw, C., Tekinerdogan, B., Beulens, A., Wolfert, S.: Digital twins in smart farming. Agric. Syst. 189 (2021)

    Google Scholar 

  19. Chatterjee, S., Kar, A.K.: Regulation and governance of the Internet of Things in India. Digit. Policy Regulat. Govern. 20(5), 399–412 (2018)

    Article  Google Scholar 

  20. Herath, H.M.K.K.M.B., Mittal, M.: Adoption of artificial intelligence in smart cities: a comprehensive review. Int. J. Inf. Manag. Data Insights 2(1), 100076 (2022)

    Google Scholar 

  21. Meenaakshi Sundhari, R.P., Jaikumar, K.: IoT assisted hierarchical computation strategic making (HCSM) and dynamic stochastic optimization technique (DSOT) for energy optimization in wireless sensor networks for smart city monitoring. Comput. Commun. 150, 226–234 (2020)

    Google Scholar 

  22. Abbas, S., et al.: Modeling, simulation and optimization of power plant energy sustainability for IoT enabled smart cities empowered with deep extreme learning machine. IEEE Access 8, 39982–39997 (2020)

    Article  Google Scholar 

  23. Fraga-Lamas, P., et al.: Design and experimental validation of a Lorawan fog computing based architecture for IoT enabled smart campus applications. Sensors (Switzerland) 19(15) (2019)

    Google Scholar 

  24. Hanumantharaju, R., Shreenath, K.N., Sowmya, B.J., Srinivasa, K.G.: Fog based smart healthcare: a machine learning paradigms for IoT sector. Multimed. Tools Appl. 81(26), 37299–37318 (2022)

    Article  Google Scholar 

  25. Thapliyal, S., et al.: ACM-SH: an efficient access control and key establishment mechanism for sustainable smart healthcare. Sustainability 14(8), 4661 (2022)

    Article  Google Scholar 

  26. Ahsan, M.M., Siddique, Z.: Industry 4.0 in healthcare: a systematic review. Int. J. Inf. Manag. Data Insights 2(1), 100079 (2022)

    Google Scholar 

  27. Agarwal, N., Chauhan, S., Kar, A.K., Goyal, S.: Role of human behaviour attributes in mobile crowd sensing: a systematic literature review. Digit. Policy Regulat. Govern. 19(2), 168–185 (2017)

    Article  Google Scholar 

  28. Sumathi, M., Rajkamal, M., Raja, S.P., Venkatachalapathy, M., Vijayaraj, N.: A crop yield prediction model based on an improved artificial neural network and yield monitoring using a blockchain technique. Int. J. Wavelets Multiresolut. Inf. Process. 20(06) (2022)

    Google Scholar 

  29. Nie, X., Fan, T., Wang, B., Li, Z., Shankar, A., Manickam, A.: Big data analytics and IoT in operation safety management in under water management. Comput. Commun. 154, 188–196 (2020)

    Article  Google Scholar 

  30. Khorsandmanesh, Y., Emadi, M.J., Krikidis, I.: Average peak age of information analysis for wireless powered cooperative networks. IEEE Trans. Cogn. Commun. Netw. 7(4), 1291–1303 (2021)

    Article  Google Scholar 

  31. Agarwal, P., Alam, M.A., Idrees, S.M., Singh, A.V., Rodrigues, J.J.P.C.: Energy Harvesting for Sustainability (2022)

    Google Scholar 

  32. Garg, N., Garg, R.: Energy harvesting in IoT devices: a survey. In: 2017 International Conference on Intelligent Sustainable Systems (ICISS), pp. 127–131 (2017)

    Google Scholar 

  33. Yau, C.-W., Kwok, T. T.-O., Lei, C.-U., Kwok, Y.-K.: Energy Harvesting in Internet of Things, pp. 35–79 (2018)

    Google Scholar 

  34. Ounifi, H.-A., Gherbi, A., Kara, N.: Deep machine learning-based power usage effectiveness prediction for sustainable cloud infrastructures. Sustain. Energy Technol. Assess. 52, 101967 (2022)

    Google Scholar 

  35. Gill, S.S., Buyya, R.: A taxonomy and future directions for sustainable cloud computing. ACM Comput. Surv. 51(5), 1–33 (2019)

    Article  Google Scholar 

  36. Chong, C.T., van Fan, Y., Lee, C.T., Klemeš, J.J.: Post COVID-19 ENERGY sustainability and carbon emissions neutrality. Energy 241, 122801 (2022)

    Article  Google Scholar 

  37. Chen, Y., Han, D.: Water quality monitoring in smart city: a pilot project. Autom. Constr. 89, 307–316 (2018)

    Article  Google Scholar 

  38. Yu, Q., Xiong, F., Wang, Y.: Integration of wireless sensor network and IoT for smart environment monitoring system. J. Interconnect. Netw. 22(Supp02) (2022)

    Google Scholar 

  39. Yu, Q., Xiong, F., Wang, Y.: Integration of wireless sensor network and IoT for smart environment monitoring system. J. Interconnect. Netw. 22 (2022)

    Google Scholar 

  40. Su, X., Shao, G., Vause, J., Tang, L.: An integrated system for urban environmental monitoring and management based on the environmental Internet of Things. Int. J. Sust. Dev. World 20(3), 205–209 (2013)

    Article  Google Scholar 

  41. Han, J., Heshmati, A., Rashidghalam, M.: Circular economy business models with a focus on servitization. Sustainability 12(21), 8799 (2020)

    Article  Google Scholar 

  42. Jamwal, A., Agrawal, R., Sharma, M.: Deep learning for manufacturing sustainability: models, applications in Industry 4.0 and implications. Int. J. Inf. Manag. Data Insights 2(2), 100107 (2022)

    Google Scholar 

  43. Kamble, S.S., Gunasekaran, A., Parekh, H., Mani, V., Belhadi, A., Sharma, R.: Digital twin for sustainable manufacturing supply chains: current trends, future perspectives, and an implementation framework. Technol. Forecast. Soc. Change 176, 121448 (2022)

    Article  Google Scholar 

  44. Gružauskas, V., Baskutis, S., Navickas, V.: Minimizing the trade-off between sustainability and cost effective performance by using autonomous vehicles. J. Clean. Prod. 184, 709–717 (2018)

    Article  Google Scholar 

  45. Nagy, J., Oláh, J., Erdei, E., Máté, D., Popp, J.: The role and impact of industry 4.0 and the internet of things on the business strategy of the value chain-the case of Hungary. Sustainability (Switzerland) 10(10) (2018)

    Google Scholar 

  46. Ahmed, U., Petri, I., Rana, O.: Edge-cloud resource federation for sustainable cities. Sustain Cities Soc. 82 (2022)

    Google Scholar 

  47. Wu, T.-Y., Wang, L., Guo, X., Chen, Y.-C., Chu, S.-C.: SAKAP: SGX-based authentication key agreement protocol in IoT-enabled cloud computing. Sustainability 14(17), 11054 (2022)

    Article  Google Scholar 

  48. Muralidharan, S., Yoo, B., Ko, H.: Decentralized ME-centric framework - a futuristic architecture for consumer IoT. IEEE Consum. Electron. Magaz. 1 (2022)

    Google Scholar 

  49. Alghamdi, A., et al.: Blockchain empowered federated learning ecosystem for securing consumer IoT features analysis. Sensors (Basel) 22 (2022)

    Google Scholar 

  50. Ahanger, T.A., Aldaej, A., Atiquzzaman, M., Ullah, I., Uddin, M.Y.: Securing consumer Internet of Things for botnet attacks: deep learning approach. Comput. Mater. Continua 73(2), 3199–3217 (2022)

    Article  Google Scholar 

  51. Cheng, Y., Zhang, J., Yang, L., Zhu, C., Zhu, H.: Joint multioperator virtual network sharing and caching in energy harvesting-aided environmental Internet of Things. IEEE Internet Things J. 7(8), 7689–7701 (2020)

    Article  Google Scholar 

  52. Zhang, T., Gou, Y., Liu, J., Yang, T., Cui, J.-H.: UDARMF: an underwater distributed and adaptive resource management framework. IEEE Internet Things J. 9(10), 7196–7210 (2022)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Management Studies, IIT Delhi, New Delhi, India

    Khusboo Gupta, Arpan Kumar Kar & M. P. Gupta

Authors
  1. Khusboo Gupta
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Arpan Kumar Kar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. P. Gupta
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Khusboo Gupta .

Editor information

Editors and Affiliations

  1. IIM Nagpur, Nagpur, India

    Sujeet K. Sharma

  2. Swansea University, Swansea, UK

    Yogesh K. Dwivedi

  3. IIM Nagpur, Nagpur, India

    Bhimaraya Metri

  4. University of Bradford, Bradford, UK

    Banita Lal

  5. Royal Holloway, University of London, Egham, UK

    Amany Elbanna

Rights and permissions

Reprints and permissions

Copyright information

© 2024 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gupta, K., Kar, A.K., Gupta, M.P. (2024). Internet of Things and Sustainability: A Literature Review. In: Sharma, S.K., Dwivedi, Y.K., Metri, B., Lal, B., Elbanna, A. (eds) Transfer, Diffusion and Adoption of Next-Generation Digital Technologies. TDIT 2023. IFIP Advances in Information and Communication Technology, vol 699. Springer, Cham. https://doi.org/10.1007/978-3-031-50204-0_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-50204-0_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-50203-3

  • Online ISBN: 978-3-031-50204-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Societies and partnerships

Search

Navigation