INVITED PAPER Control and Communication Challenges in Networked

Systems now have the ability to do data processing and control at remote locations and can be coordinated through digital, even wireless, networks to meet overall objectives. By John Baillieul, Fellow IEEE, and Panos J. Antsaklis, Fellow IEEE ABSTRACT | A current survey of the emerging field of networked control systems is provided. The aim is to introduce the fundamental issues involved in designing successful networked control systems, to provide a snapshot assessment of the current state of research in the field, to suggest useful future research directions, and to provide a broad perspective on recent fundamental results. Reflecting the goals of the Special Issue itself, this paper surveys relevant work from the areas of systems and control, signal processing, detection and estimation, data fusion, and distributed systems. We discuss appropriate network architectures, topics such as coding fo

Investigating the Effect of Voltage-Switching on Low-Energy Task Scheduling in

We investigate the effect of voltage-switching on task execution times and energy consumption for dual-speed hard real-time systems, and present a new approach for scheduling workloads containing periodic tasks in real-time systems. Our method minimizes the total energy consumed by the task set and guarantees that the deadline for every periodic task is met. Energy is a scarce resource for embedded systems, and energy consumption must be carefully balanced against real-time responsiveness. As embedded software becomes a larger component of system-on-a-chip design, energy management using the operating system becomes increasingly important. We present a mixed-integer linear programming model for the NP-complete scheduling problem and solve it for moderate-sized problem instances using a public-domain solver. For larger task sets, we present a novel extended-low-energy earliest-deadlinefirst (E-LEDF) scheduling algorithm and apply it to two real-life task sets. Our results show that energy can be conserved in embedded real-time systems using energy-aware task scheduling. We also show that switching times have a significant effect on the energy consumed in hard real-time systems.