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