Dynamically Managing the Real-time Fabric of a Wireless Sensor-Actuator Network
Abstract:
Wireless sensor-actuator networks (WSAN) consist of numerous sensing and actuation devices that share information over an ad hoc wireless communication network. WSANs can be used to manage networked systems that distribute goods and services over large spatially distributed domains. Examples of such systems include the national power grid, ground/air traffic networks, and water/gas distribution networks. These particular examples are components of our national civil infrastructure and the optimal management of such networks is in the national interest. This project studies the implementation of feedback control algorithms over WSANs, particularly with regard to the management of large-scale networked systems such as the electric power grid or water distribution networks. Controlling such physical processes traditionally requires some type of hard real-time support. This means that each packet of feedback data must be serviced within a specified deadline to assure the overall control application’s performance level. It has, in practice, been difficult to provide such guarantees in real-life wireless networks. This project will address that issue by developing scheduling algorithms that allow control applications and the communication network to work together in maximizing application performance subject to firm real-time service constraints.
Submitted by Michael Lemmon
on
Abstract:
Wireless sensor-actuator networks (WSAN) consist of numerous sensing and actuation devices that share information over an ad hoc wireless communication network. WSANs can be used to manage networked systems that distribute goods and services over large spatially distributed domains. Examples of such systems include the national power grid, ground/air traffic networks, and water/gas distribution networks. These particular examples are components of our national civil infrastructure and the optimal management of such networks is in the national interest. This project studies the implementation of feedback control algorithms over WSANs, particularly with regard to the management of large-scale networked systems such as the electric power grid or water distribution networks. Controlling such physical processes traditionally requires some type of hard real-time support. This means that each packet of feedback data must be serviced within a specified deadline to assure the overall control application’s performance level. It has, in practice, been difficult to provide such guarantees in real-life wireless networks. This project will address that issue by developing scheduling algorithms that allow control applications and the communication network to work together in maximizing application performance subject to firm real-time service constraints.