Title :
Optimal controller location in wireless sensor and actuator networks
Author :
Kefei Xin ; Xianghui Cao ; Peng Cheng ; Jiming Chen
Author_Institution :
Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
Abstract :
In wireless sensor and actuator networks (WSAN), both sensory measurements and control signals transmitted through the wireless media are prone to packet losses. Moreover, the distance between the sender and receiver is a critical factor for the loss rate. Therefore, where to place the controller to ensure optimal control performance is an interesting problem. In this paper, we focus on WSAN with one sensor and one actuator residing at different geographic locations. If the controller is constrained at either the sensor side or actuator side, we derive the necessary and sufficient conditions under which the optimal controller location can be directly determined. For the more general case when the controller can be placed anywhere, with mild assumptions on the packet drop model, we also provide the conditions under which the optimal controller location is unique and can be determined. Numerical simulations based on a practical packet loss model verify our results.
Keywords :
Kalman filters; actuators; distributed parameter systems; networked control systems; numerical analysis; optimal control; telecommunication control; wireless sensor networks; Kalman filter; WSAN; control signals; geographic locations; network control system; numerical simulations; optimal controller location; packet drop; packet loss model; sensory measurements; wireless media; wireless sensor-and-actuator networks; Actuators; Estimation; Packet loss; Robot sensing systems; Wireless communication; Wireless sensor networks; Kalman Filter; TCP; network control system; optimal control; packet drop;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1871-6
Electronic_ISBN :
978-1-4673-1870-9
DOI :
10.1109/ICARCV.2012.6485219