Interference Game for Intelligent Sensors in Cyber-physical Systems
Ding, Kemi1; Ren, Xiaoqiang2; Qi, Hongsheng3; Shi, Guodong4; Wang, Xiaofan2; Shi, Ling1
Source PublicationAUTOMATICA
AbstractThis paper investigates the remote state estimation for a cyber-physical system (CPS) where a group of (primary) sensors transmit sensing data packets to the remote estimators for state estimation via their individual channels. In view of the complexity arising from the scale of such system, it is desirable for the primary sensors to share their channels with the newly-added (potential) ones, especially when the sensing data of primary ones contains less valuable information. However, the channel sharing inevitably leads to signal interference among sensors using the same channels, and it may further degenerate the remote estimation performance. Thus, the system designer should allocate the transmission power for sensors to maximize the global estimation accuracy. We emphasize the noncooperative nature among sensors, and solve the problem in an exchange market framework with a platform acting on behalf of the system designer, and prove that the optimal power allocation is a spontaneous outcome of the market under well-designed prices. More specifically, under (subsidized) prices announced by the platform, the primary sensors are willing to open up their channels for sharing, in which a distributed optimal power allocation is derived explicitly. To alleviate transmission interference, the platform will charge potential sensors for the use of channels, among which the mutual interaction is formulated as a non-cooperative game and the existence of a pure Nash equilibrium is proved. We also devise an algorithm for the platform to design subsidized/toll prices, which is given in an explicit recursive form with simple iterations, and therefore suited for the platform with limited computation capability. (C) 2021 Elsevier Ltd. All rights reserved.
Indexed BySCI
Funding ProjectHong Kong RGC General Research Fund[16210619] ; National Key R&D Program of China[2018AAA0102800] ; National Key R&D Program of China[2018AAA0102804] ; Shanghai Key Laboratory of Power Station Automation Technology ; Natural Science Foundation of China[61873262] ; Australian Research Council[DP190103615]
WOS Research AreaAutomation & Control Systems ; Engineering
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic
WOS IDWOS:000655690000013
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Document Type期刊论文
Corresponding AuthorRen, Xiaoqiang
Affiliation1.Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Hong Kong, Peoples R China
2.Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
4.Univ Sydney, Sch Aerosp Mech & Mechatron Engn, Sydney, NSW, Australia
Recommended Citation
GB/T 7714
Ding, Kemi,Ren, Xiaoqiang,Qi, Hongsheng,et al. Interference Game for Intelligent Sensors in Cyber-physical Systems[J]. AUTOMATICA,2021,129:13.
APA Ding, Kemi,Ren, Xiaoqiang,Qi, Hongsheng,Shi, Guodong,Wang, Xiaofan,&Shi, Ling.(2021).Interference Game for Intelligent Sensors in Cyber-physical Systems.AUTOMATICA,129,13.
MLA Ding, Kemi,et al."Interference Game for Intelligent Sensors in Cyber-physical Systems".AUTOMATICA 129(2021):13.
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