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Journal of Sensors - Volume 2017 2017, Article ID 9303989, 10 pages - https:-doi.org-10.1155-2017-9303989

Research ArticleKey Laboratory of Smart Grid, Ministry of Education, Tianjin University, Tianjin, China

Correspondence should be addressed to Ting Yang

Received 4 November 2016; Revised 27 December 2016; Accepted 16 February 2017; Published 7 March 2017

Academic Editor: Jose N. De Souza

Copyright © 2017 Ting Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


IoT is the technical basis to realize the CPS Cyber Physical System for distribution networks, with which the complex system becomes more intelligent and controllable. Because of the multihop and self-organization characteristics, the large-scale heterogeneous CPS network becomes more difficult to plan. Using topological potential theory, one of typical big data analysis technologies, this paper proposed a novel optimal CPS planning model. Topological potential equalization is considered as the optimization objective function in heterogeneous CPS network with the constraints of communication requirements, physical infrastructures, and network reliability. An improved binary particle swarm optimization algorithm is proposed to solve this complex optimal problem. Two IEEE classic examples are adopted in the simulation, and the results show that, compared with benchmark algorithms, our proposed method can provide an effective topology optimization scheme to improve the network reliability and transmitting performance.

Autor: Ting Yang, Zhiyong Huang, Haibo Pen, and Yajian Zhang

Fuente: https://www.hindawi.com/


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