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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
L. Atzori, A. Iera, G. Morabito, The internet of things: a survey. Comput. Netw. 54(15), 27872805 (2010)
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)
H. Ning, Z. Wang, Future internet of things architecture: like mankind neural system or social organization framework? IEEE Commun. Lett. 15(4), 461463 (2011)
J. Ma, J. Wen, R. Huang, B. Huang, Cyber-individual meets brain informatics. IEEE Intell. Syst. 26(5), 3037 (2011)
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
L. Atzori, A. Iera, G. Morabito, SIoT: giving a social structure to the internet of things. IEEE Commun. Lett. 15(11), 11931195 (2011)
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)
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)
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)
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)
R.T. Kellogg, Cognitive Psychology, 2nd edn (Sage Publications, 2003)
J. Nocedal, S.J. Wright, Numerical Optimization (Springer Verlag, 1999)
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)
Acknowledgments
We thank IEEE’s authorization to use some related materials from Ref. [13].
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights 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)