Skip to main content

Evaluating Energy Efficiency and Security for Internet of Things: A Systematic Review

  • Conference paper
  • First Online:
Book cover Advanced Information Networking and Applications (AINA 2020)

Abstract

The Internet of Things (IoT) contains devices to collect and transmit information that should not be captured by third parties. Although devices have internet connectivity, some devices have battery limited energy. Therefore, it is important the conducting of evaluations to investigate, compare and propose security mechanisms with energy-efficient. However, there is a very low number of research using practical evaluations with real devices, as measurement approach takes a long time to perform the experiments. Therefore, the aim of this paper is to analyze, categorize analytically and statistically the methodologies which have been presented in the area of IoT based on the Systematic Literature Review (SLR) method, in order to extract features of the research protocols (definition of a set of equipment, topology, traffic, parameters, metrics and other variables) to be used in new research that addresses the concepts of security, energy and IoT. The weaknesses and highlighting of each study is discussed as well as presenting some hints for addressing future research with lower execution times of experiments, as it will be possible to reuse the results of measurements already published for the same parameter and metrics.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Lazarescu, M.T.: Wireless sensor networks for the Internet of Things: barriers and synergies, pp. 155–186. Springer, Cham (2017)

    Google Scholar 

  2. Elshrkawey, M., Elsherif, S.M., Wahed, M.E.: An enhancement approach for reducing the energy consumption in wireless sensor networks. J. King Saud Univ. Comput. Inf. Sci. 30(2), 259–267 (2018). https://doi.org/10.1016/j.jksuci.2017.04.002

    Article  Google Scholar 

  3. Menezes, A.H.S., Kelvin, R.M.d.O., Oliveira, L.P., Oliveira, P.J.d.S.: IoT environment to train service dogs. In: 2017 IEEE First Summer School on Smart Cities (S3C), pp. 137–140, August 2017. https://doi.org/10.1109/S3C.2017.8501386

  4. Sittón-Candanedo, I., Alonso, R.S., Corchado, J.M., Rodríguez-González, S., Casado-Vara, R.: A review of edge computing reference architectures and a new global edge proposal. Future Gener. Comput. Syst. 99, 278–294 (2019). https://doi.org/10.1016/j.future.2019.04.016

    Article  Google Scholar 

  5. Alemdar, H., Ersoy, C.: Wireless sensor networks for healthcare: a survey. Comput. Netw. 54(15), 2688–2710 (2010). https://doi.org/10.1016/j.comnet.2010.05.003

    Article  Google Scholar 

  6. Saleem, Y., Crespi, N., Rehmani, M.H., Copeland, R.: Internet of things-aided smart grid: technologies, architectures, applications, prototypes, and future research directions. IEEE Access 7, 62962–63003 (2019). https://doi.org/10.1109/ACCESS.2019.2913984

    Article  Google Scholar 

  7. Dhasian, H.R., Balasubramanian, P.: Survey of data aggregation techniques using soft computing in wireless sensor networks. IET Inf. Secur. 7(4), 336–342 (2013). https://doi.org/10.1049/iet-ifs.2012.0292

    Article  Google Scholar 

  8. Sun, Q., Li, H., Ma, Z., Wang, C., Campillo, J., Zhang, Q., Wallin, F., Guo, J.: A comprehensive review of smart energy meters in intelligent energy networks. IEEE Internet Things J. 3(4), 464–479 (2016). https://doi.org/10.1109/JIOT.2015.2512325

    Article  Google Scholar 

  9. Sookhak, M., Tang, H., He, Y., Yu, F.R.: Security and privacy of smart cities: a survey, research issues and challenges. IEEE Commun. Surv. Tutor. 21, 1718–1743 (2019). https://doi.org/10.1109/COMST.2018.2867288

    Article  Google Scholar 

  10. Kantharaju, H.C., Murthy, K.N.N.: A survey on enhancing system performance of wireless sensor network by secure assemblage based data delivery. In: 2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT), pp. 289–296, March 2017. https://doi.org/10.1109/ICRAECT.2017.55

  11. Karakaya, A., Akleylek, S.: A survey on security threats and authentication approaches in wireless sensor networks. In: 2018 6th International Symposium on Digital Forensic and Security (ISDFS), pp. 1–4, March 2018. https://doi.org/10.1109/ISDFS.2018.8355381

  12. Ravindran, V., Subramanian, S.: Systematic reviews and meta-analysis demystified. Indian J. Rheumatol. 10 (2015). https://doi.org/10.1016/j.injr.2015.04.003

  13. Fabbri, S., Silva, C., Hernandes, E., Octaviano, F., Di Thommazo, A., Belgamo, A.: Improvements in the start tool to better support the systematic review process. In: Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering, EASE 2016, pp. 21:1–21:5. ACM, New York (2016). https://doi.org/10.1145/2915970.2916013

  14. Campelo, F., Takahashi, F.: Sample size estimation for power and accuracy in the experimental comparison of algorithms. J. Heuristics 25(2), 305–338 (2019). https://doi.org/10.1007/s10732-018-9396-7

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Luciana P. Oliveira .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Oliveira, L.P., Vieira, M.N., Leite, G.B., de Almeida, E.L.V. (2020). Evaluating Energy Efficiency and Security for Internet of Things: A Systematic Review. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Advanced Information Networking and Applications. AINA 2020. Advances in Intelligent Systems and Computing, vol 1151. Springer, Cham. https://doi.org/10.1007/978-3-030-44041-1_20

Download citation

Publish with us

Policies and ethics