Abstract
The main goal of this chapter is to put together all pieces treated in previous chapters. We treat the subject from a system engineering point of view. This chapter motivates the whole book. We only have space to see the problems from ten-thousand feet high.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Unless mentioned otherwise, we assume in this section that the graph is undirected and that X is symmetric.
Bibliography
R. Qiu, Z. Hu, H. Li, and M. Wicks, Cognitiv Communications and Networking: Theory and Practice. John Wiley and Sons, 2012.
R. Qiu, Introduction to Smart Grid. John Wiley and Sons, 2014.
R. Ranganathan, R. Qiu, Z. Hu, S. Hou, Z. Chen, M. Pazos-Revilla, and N. Guo, Communication and Networking in Smart Grids, ch. Cognitive Radio Network for Smart Grid. Auerbach Publications, Taylor & Francis Group, CRC, 2013.
R. C. Qiu, Z. Chen, N. Guo, Y. Song, P. Zhang, H. Li, and L. Lai, “Towards a real-time cognitive radio network testbed: architecture, hardware platform, and application to smart grid,” in Networking Technologies for Software Defined Radio (SDR) Networks, 2010 Fifth IEEE Workshop on, pp. 1–6, IEEE, 2010.
R. Qiu, Z. Hu, Z. Chen, N. Guo, R. Ranganathan, S. Hou, and G. Zheng, “Cognitive radio network for the smart grid: Experimental system architecture, control algorithms, security, and microgrid testbed,” Smart Grid, IEEE Transactions on, no. 99, pp. 1–18, 2011.
R. Qiu, C. Zhang, Z. Hu,, and M. Wicks, “Towards a large-scale cognitive radio network testbed: Spectrum sensing, system architecture, and distributed sensing,” Journal of Communications, vol. 7, pp. 552–566, July 2012.
E. Estrada, The structure of complex networks: theory and applications. Oxford University Press, 2012.
S. Strogatz, “Exploring complex networks,” Nature, vol. 410, no. 6825, pp. 268–276, 2001.
A. Barrat, M. Barthelemy, and A. Vespignani, Dynamical processes on complex networks. Cambridge University Press, 2008.
M. Franceschetti and R. Meester, Random networks for communication: from statistical physics to information systems. Cambridge University Press, 2007.
P. Van Mieghem, Graph spectra for complex networks. Cambridge University Press, 2011.
D. Cvekovic, M. Doob, and H. Sachs, Spectra of graphs: theory and applications. Academic Press, 1980.
C. Godsil and G. Royle, Algebraic graph theory. Springer, 2001.
F. Chung and M. Radcliffe, “On the spectra of general random graphs,” the electronic journal of combinatorics, vol. 18, no. P215, p. 1, 2011.
L. Lu and X. Peng, “Loose laplacian spectra of random hypergraphs,” Random Structures & Algorithms, 2012.
F. Chung, Speatral graph theory. American Mathematical Society, 1997.
B. Osting, C. Brune, and S. Osher, “Optimal data collection for improved rankings expose well-connected graphs,” arXiv preprint arXiv:1207.6430, 2012.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media New York
About this chapter
Cite this chapter
Qiu, R., Wicks, M. (2014). From Network to Big Data. In: Cognitive Networked Sensing and Big Data. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4544-9_13
Download citation
DOI: https://doi.org/10.1007/978-1-4614-4544-9_13
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-4543-2
Online ISBN: 978-1-4614-4544-9
eBook Packages: EngineeringEngineering (R0)