Skip to main content
SpringerLink
Log in

Trends of Publications and Work Done in Different Areas in IoT: A Survey

  • Conference paper
  • First Online:
Recent Findings in Intelligent Computing Techniques

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 707))

  • 890 Accesses

Abstract

IoT is transforming the world into smart world. Current works in IoT are directing towards creation of smart things. However, to the best of our knowledge there is a lack of systematic literature review of work done in various domains in IoT. To bridge this gap, literature survey is provided which classifies the works done in IoT in four different domains according to the research contribution. The proposed classification furthermore provides applications of work done by different authors, techniques, datasets and tools used by peer group to analyze objectivity/subjectivity of problem domain. This paper also examines the status of numerous publications according to bibliographical citations on the basis of diverse global regions involved in research in IoT, various journals citing the work, year of publishing, research community involved in exploration, fund provisioning or self-promotion factors. Trends are illustrated in form of graphs. The outcomes will offer great assistance to peer research community.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

Similar content being viewed by others

References

  1. Atzori, L., Iera, A., Morabito, G.: The internet of things: A survey. Comput. Netw. 54(15), 2787–2805 (2010)

    Article  Google Scholar 

  2. Tsai, M.F., Kiong, Y.C., Sinn, A.: Smart service relying on Internet of Things technology in parking systems. J. Supercomput. 1–24 (2016)

    Google Scholar 

  3. Solano, A., Duro, N., Dormido, R., González, P.: Smart vending machines in the era of internet of things. Future Gener. Comput. Syst. (2016) (In Press)

    Google Scholar 

  4. Kokkonis, G., Psannis, K.E., Roumeliotis, M., Schonfeld, D.: Real-time wireless multisensory smart surveillance with 3D-HEVC streams for internet-of-things (IoT). J. Supercomput. 73(3), 1044–1062 (2017)

    Article  Google Scholar 

  5. Han, S.N., Crespi, N.: Semantic service provisioning for smart objects: Integrating IoT applications into the web. Future Gener. Comput. Syst. 76, 180–197 (2017)

    Article  Google Scholar 

  6. Zambrano, A.M., Perez, I., Palau, C., Esteve, M.: Technologies of internet of things applied to an earthquake early warning system. Future Gener. Comput. Syst. 75, 206–215 (2017)

    Article  Google Scholar 

  7. Rashid, Z., Melià-Seguí, J., Pous, R., Peig, E.: Using augmented reality and internet of things to improve accessibility of people with motor disabilities in the context of smart cities. Future Gener. Comput. Syst. 76, 248–261 (2017)

    Article  Google Scholar 

  8. Tao, X., Li, G., Sun, D., Cai, H.: A game-theoretic model and analysis of data exchange protocols for internet of things in clouds. Future Gener. Comput. Syst. 76, 582–589 (2017)

    Article  Google Scholar 

  9. Tao, M., Ota, K., Dong, M.: Ontology-based data semantic management and application in IoT and cloud-enabled smart homes. Future Gener. Comput. Syst. 76, 528–539 (2017)

    Article  Google Scholar 

  10. Antonic, A., Marjanovic, M., Pripuzic, K., Zarko, I.P.: A mobile crowd sensing ecosystem enabled by CUPUS: Cloud-based publish/subscribe middleware for the internet of things. Future Gener. Comput. Syst. 56, 607–622 (2016)

    Article  Google Scholar 

  11. Urbieta, A., Gonzalez-Beltran, A., Mokhtar, S.B., Hossain, M.A., Capra, L.: Adaptive and context-aware service composition for IoT-based smart cities. Future Gener. Comput. Syst. (2017) (In Press)

    Google Scholar 

  12. Han, S.N., Crespi, N.: Semantic service provisioning for smart objects: integrating IoT applications into the web. Future Gener. Comput. Syst. (2017) (In Press)

    Google Scholar 

  13. Yu, J., Lee, N., Pyo, CS., Lee, Y.S.: WISE: web of object architecture on IoT environment for smart home and building energy management. J. Supercomput. 1–16 (2016)

    Google Scholar 

  14. Fensel, A., Tomic, D.K., Koller, A.: Contributing to appliances’ energy efficiency with Internet of Things, smart data and user engagement. Future Gener. Comput. Syst. (2016) (In Press)

    Google Scholar 

  15. Qiu, T., Zhao, A., Ma, R., Chang, V., Liu, F., Fu, Z.: A task-efficient sink node based on embedded multi-core soC for internet of things. Future Gener. Comput. Syst. (2016) (In Press)

    Google Scholar 

  16. Kim, T.Y., Kim, E.J.: Uplink scheduling of MU-MIMO gateway for massive data acquisition in internet of things. J. Supercomput.. 1–15 (2016)

    Google Scholar 

  17. Yeh, W.C., Lin, J.S.: New parallel swarm algorithm for smart sensor systems redundancy allocation problems in the Internet of Things. J. Supercomput. 1–27 (2016)

    Google Scholar 

  18. Fyffe, D.E., Hines, W.W., Lee, N.K.: System reliability allocation and a computation algorithm. IEEE Trans. Reliab. 64–69 (1968)

    Article  Google Scholar 

  19. Moosavi, S.R., Gia, T.N., Nigussie, E., Rahmani, A.M., Virtanen, S., Tenhunen, H., Isoaho, J.: End-to-end security scheme for mobility enabled healthcare internet of things. Future Gener. Comput. Syst. 64, 108–124 (2016)

    Article  Google Scholar 

  20. Kim, H.Y., Kim, J.M.: A load balancing scheme based on deep learning in IoT. Clust. Comput. 20(1), 873–878 (2017)

    Article  Google Scholar 

  21. Wan, L., Wei, L., Xiong, N., Yuan, J., Xiong, J.: Pareto optimization for the two-agent scheduling problems with linear non-increasing deterioration based on internet of things. Future Gener. Comput. Syst. (2016) (In Press)

    Google Scholar 

  22. Xu, Q., Aung, K.M.M., Zhu, Y., Yong, K.L.: Building a large-scale object-based active storage platform for data analytics in the internet of things. J. Supercomput. 72(7), 2796–2814 (2016)

    Article  Google Scholar 

  23. Boumkheld, N., Ghogho, M., Koutbi, M.E.: Energy consumption scheduling in a smart grid including renewable energy. J. Inf. Process. Syst. 11(1), 116–124 (2015)

    Google Scholar 

  24. Vanus, J., Smolon, M., Martinek, R., Koziorek, J., Zidek, J., Bilik, P.: Testing of the voice communication in smart home care. Hum. Center Comput. Inf. Sci. 5(15), 1–22 (2015)

    Google Scholar 

  25. Rahmani, A.M., Gia, T.N., Negash, B., Anzanpour, A., Azimi, I., Jiang, M., Liljeberg, P.: Exploiting smart e-Health gateways at the edge of healthcare internet-of-things: a fog computing approach. Future Gener. Comput. Syst. (2017) (In Press)

    Google Scholar 

  26. Yao, X., Chen, Z., Tian, Y.: A lightweight attribute-based encryption scheme for the internet of things. Future Gener. Comput. Syst. 49, 104–112 (2015)

    Article  Google Scholar 

  27. Jiang, H., Shen, F., Chen, S., Li, K.C., Jeong, Y.S.: A secure and scalable storage system for aggregate data in IoT. Future Gener. Comput. Syst. 49, 133–141 (2015)

    Article  Google Scholar 

  28. Mai, V., Khalil, I.: Design and implementation of a secure cloud-based billing model for smart meters as an Internet of things using homomorphic cryptography. Future Gener. Comput. Syst. (2016) (In Press)

    Google Scholar 

  29. García, C.G., Meana-Llorian, D., G-Bustelo, B.C.P., Lovelle, J.M.C., Garcia-Fernandez, N.: Midgar: detection of people through computer vision in the internet of things scenarios to improve the security in smart cities, smart towns, and smart homes. Future Gener. Comput. Syst. (2017) (In Press)

    Google Scholar 

  30. Moosavi, S.R., Gia, T.N., Nigussie, E., Rahmani, A.M., Virtanen, S., Tenhunen, H., Isoaho, J.: End-to-end security scheme for mobility enabled healthcare internet of things. Future Gener. Comput. Systs. 64, 108–124 (2016)

    Article  Google Scholar 

  31. Su, J., Cao, D., Zhao, B., Wang, X., You, I.: ePASS: an expressive attribute-based signature scheme with privacy and an unforgeability guarantee for the Internet of Things. Future Gener. Comput. Syst. 33, 11–18 (2014)

    Article  Google Scholar 

  32. Alamr, A.A., Kausar, F., Kim, J., Seo, C.: A secure ECC-based RFID mutual authentication protocol for internet of things. J. Supercomput. 1–14 (2016)

    Google Scholar 

  33. Lee, B., Lee, J.H.: Blockchain-based secure firmware update for embedded devices in an internet of things environment. J. Supercomput. 1–16 (2016)

    Google Scholar 

  34. Henze, M., Hermerschmidt, L., Kerpen, D., Haubling, R., Rumpe, B., Wehrle, K.: A comprehensive approach to privacy in the cloud-based internet of things. Future Gener. Comput. Syst. 56, 701–718 (2016)

    Article  Google Scholar 

  35. Tao, M., Zuo, J., Liu, Z., Castiglione, A., Palmieri, F.: Multi-layer cloud architectural model and ontology-based security service framework for IoT-based smart homes. Future Gener. Comput. Syst. (2016) (In Press)

    Google Scholar 

  36. Jeong, Y.S., Shin, S.S.: An IoT healthcare service model of a vehicle using implantable devices. Clust. Comput. 1–10 (2016)

    Google Scholar 

  37. Lee, H.H., Kwon, J.H., Kim, E.J.: FS-IIoTSim: a flexible and scalable simulation framework for performance evaluation of industrial Internet of things systems. J. Supercomput. 1–18 (2016)

    Google Scholar 

  38. Meana-Llorian, D., Garcia, C.G., G-Bustelo, B.C.P., Lovelle, J.M.C., Garcia-Fernandez, N.: IoFClime: the fuzzy logic and the internet of things to control indoor temperature regarding the outdoor ambient conditions. Future Gener. Comput. Syst. (2016)

    Google Scholar 

  39. Tekchandani, R., Bhatia, R., Singh, M.: Semantic code clone detection for internet of things applications using reaching definition and liveness analysis. J. Supercomput. 1–28 (2016)

    Google Scholar 

  40. Barthwal, R., Misra, S., Obaidat, M.S.: Finding overlapping communities in a complex network of social linkages and Internet of things. J. Supercomput. 66(3), 1749–1772 (2013)

    Article  Google Scholar 

  41. Chen, Z., Xia, F., Huang, T., Bu, F., Wang, H.: A localization method for the internet of things. J. Supercomput. 63(3), 657–674 (2013)

    Article  Google Scholar 

  42. Hui, T.K., Sherratt, R.S., Sanchez, D.D.: Major requirements for building smart homes in smart cities based on internet of things technologies. Future Gener. Comput. Syst. (2016) (In Press)

    Google Scholar 

  43. Douzis, K., Sotiriadis, S., Petrakis, E.G., Amza, C.: Modular and generic IoT management on the cloud. Future Gener. Comput. Syst. (2016)

    Google Scholar 

  44. Farris, I., Militano, L., Nitti, M., Atzori, L., Iera, A.: MIFaaS: a mobile-IoT-Federation-as-a-Service model for dynamic cooperation of IoT cloud providers. Future Gener. Comput. Syst. 70, 126–137 (2017)

    Article  Google Scholar 

  45. de Farias, C.M., Brito, I.C., Pirmez, L., Delicato, F.C., Pires, P.F., Rodrigues, T.C., Batista, T.: COMFIT: a development environment for the internet of things. Future Gener. Comput. Syst. (2016) (In Press)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of CSE, CUIET, Chitkara University, Chandigarh, India

    Nagma, Jagpreet Sidhu & Jaiteg Singh

Authors
  1. Nagma
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jagpreet Sidhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jaiteg Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nagma .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Pankaj Kumar Sa

  2. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Sambit Bakshi

  3. Department of Computer Engineering and Informatics, University of Patras, Patras, Greece

    Ioannis K. Hatzilygeroudis

  4. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Manmath Narayan Sahoo

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nagma, Sidhu, J., Singh, J. (2019). Trends of Publications and Work Done in Different Areas in IoT: A Survey. In: Sa, P., Bakshi, S., Hatzilygeroudis, I., Sahoo, M. (eds) Recent Findings in Intelligent Computing Techniques . Advances in Intelligent Systems and Computing, vol 707. Springer, Singapore. https://doi.org/10.1007/978-981-10-8639-7_40

Download citation

Publish with us

Policies and ethics

Search

Navigation