Distributed source coding for controlling cyber physical systems with application in smart grids

Communication is an important issue in cyber physical systems (CPS), which conveys information from sensor(s) to controller(s) in order to control the physical dynamics. When there are multiple sensors receiving correlated observations, it is important to design an efficient distributed source coding scheme. Although distributed source coding has been widely studied in the context of pure data communication networks, such as the information theoretic argument (such as Slepian-Wolf coding schemes) and practical codes design (such as the nested lattice based ones), there are many new challenges in the context of CPS, e.g., the cost function for the purpose of control. In this paper, we propose schemes of lattice based quantization, efficient coloring coding scheme and adaptation to physical dynamics. Numerical simulations with application in smart grids demonstrate that the proposed distributed source coding scheme can efficiently suppress the information source.