Skip to main content

Attention Inspired Resource Allocation for Heterogeneous Sensors in Internet of Things

  • Chapter
  • First Online:
Book cover Wisdom Web of Things

Abstract

Internet of things (IoT) is an attractive paradigm for intelligent interconnections among ubiquitous things through physical-cyber-social space (CPSS). During the things’ cross-space interactions, heterogeneous sensors establish pervasive sensing during with the mapping from physical objects into the corresponding cyber entities in the cyber space. Such mapping depends on the available system resources, and thus resource allocation becomes challenging for resource-constrained IoT applications. In this chapter, human attention (including sustained attention, selective attention, and divided attention) is considered as limited cognitive resource to establish an attention-aware resource framework in IoT. The consideration of a heterogeneous sensors based IoT system model is built with ubiquitous attributes, and a human attention inspired resource allocation scheme is presented to facilitate the dynamic resource interaction.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
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. L. Atzori, A. Iera, G. Morabito, The internet of things: a survey. Comput. Netw. 54(15), 27872805 (2010)

    Article  MATH  Google Scholar 

  2. A. Georgakopoulos, K. Tsagkaris, D. Karvounas, P. Vlacheas, P. Demestichas, Cognitive networks for future internet: status and emerging challenges. IEEE Veh. Technol. Mag. 7(3), 4856 (2012)

    Article  Google Scholar 

  3. H. Ning, Z. Wang, Future internet of things architecture: like mankind neural system or social organization framework? IEEE Commun. Lett. 15(4), 461463 (2011)

    Article  Google Scholar 

  4. J. Ma, J. Wen, R. Huang, B. Huang, Cyber-individual meets brain informatics. IEEE Intell. Syst. 26(5), 3037 (2011)

    Article  Google Scholar 

  5. N. Zhong, J. Ma, R. Huang, J. Liu, Y. Yao, Y. Zhang, J. Chen, Research challenges and perspectives on wisdom web of things (W2T). J. Supercomput. (2010). doi:10.1007/s11227-010-0518-8

    Google Scholar 

  6. L. Atzori, A. Iera, G. Morabito, SIoT: giving a social structure to the internet of things. IEEE Commun. Lett. 15(11), 11931195 (2011)

    Article  Google Scholar 

  7. A. Sehgal, V. Perelman, S. Kuryla, J. Schonwalder, Management of resource constrained devices in the internet of things. IEEE Commun. Mag. 50(12), 144–149 (2012)

    Article  Google Scholar 

  8. K. Zheng, F. Hu, W. Wang, W. Xiang, M. Dohler, Radio resource allocation in LTE-advanced cellular networks with M2M communications. IEEE Commun. Mag. 50(7), 184–192 (2012)

    Article  Google Scholar 

  9. P.T. Endo, A.V. de Almeida Palhares, N.M. Pereira, G.E. Goncalves, D. Sadok, J. Kelner, B. Melander, J.E. Mangs, Resource allocation for distributed cloud: concepts and research challenges. IEEE Netw. 25(4), 42–46 (2011)

    Article  Google Scholar 

  10. H. Hildmann, S. Nicolas, F. Saffre, A bio-inspired resource-saving approach to dynamic client-server association. IEEE Intell. Syst. 27(6), 17–25 (2012)

    Article  Google Scholar 

  11. R.T. Kellogg, Cognitive Psychology, 2nd edn (Sage Publications, 2003)

    Google Scholar 

  12. J. Nocedal, S.J. Wright, Numerical Optimization (Springer Verlag, 1999)

    Google Scholar 

  13. H. Ning et al., Human-attention inspired resource allocation for heterogeneous sensors in the web of things. IEEE Intell. Syst. 28(6), 20–28 (2013)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgments

We thank IEEE’s authorization to use some related materials from Ref. [13].

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Huansheng Ning .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Ning, H., Liu, H., Li, A., Yang, L.T. (2016). Attention Inspired Resource Allocation for Heterogeneous Sensors in Internet of Things. In: Zhong, N., Ma, J., Liu, J., Huang, R., Tao, X. (eds) Wisdom Web of Things. Web Information Systems Engineering and Internet Technologies Book Series. Springer, Cham. https://doi.org/10.1007/978-3-319-44198-6_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-44198-6_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44196-2

  • Online ISBN: 978-3-319-44198-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics