多传感器协同下的远程状态估计传输管理
Multi-sensor Transmission Management for Remote State Estimation under Coordination
摘要：
研究了多传感器信息物理系统（CPS）中的远程状态估计问题。每个传感器的测量值通过共享信道传输到远程估计器，其中来自其他传感器的同时传输被视为干扰信号。在这样的竞争环境中，每个传感器都需要考虑其他传感器的行为来选择其发送数据包的传输功率。为了模拟传感器之间的交互决策过程，我们引入了一个多人非合作博弈框架。为了克服纳什均衡（NE）的解决方案所产生的低效率，我们提出了一个相关的政策，以及相关均衡（CE）的概念。NE和CE之间的游戏值的分析比较提供，有/没有每个传感器的功耗约束。数值模拟结果也验证了这一结论。
英文摘要：
This paper considers the remote state estimation in a cyber-physical system (CPS) using multiple sensors. The measurements of each sensor are transmitted to a remote estimator over a shared channel, where simultaneous transmissions from other sensors are regarded as interference signals. In such a competitive environment, each sensor needs to choose its transmission power for sending data packets taking into account of other sensors' behavior. To model this interactive decision-making process among the sensors, we introduce a multi-player non-cooperative game framework. To overcome the inefficiency arising from the Nash equilibrium (NE) solution, we propose a correlation policy, along with the notion of correlation equilibrium (CE). An analytical comparison of the game value between the NE and the CE is provided, with/without the power expenditure constraints for each sensor. Also, numerical simulations demonstrate the comparison results.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
