Profiling primitives of networked embedded automation

Authors:
Branden Archer;Shivakumar Sastry;Anthony Rowe;Ragunathan Rajkumar
Affiliations:
Department of Electrical and Computer Engineering, The University of Akron, Akron, OH;Department of Electrical and Computer Engineering, The University of Akron, Akron, OH;Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA;Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA
Venue:
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Year:
2009

Citing 4
Cited 2

Parallel program design: a foundation

Parallel program design: a foundation
The platforms enabling wireless sensor networks

Communications of the ACM - Wireless sensor networks
Nano-RK: An Energy-Aware Resource-Centric RTOS for Sensor Networks

RTSS '05 Proceedings of the 26th IEEE International Real-Time Systems Symposium
Voice over Sensor Networks

RTSS '06 Proceedings of the 27th IEEE International Real-Time Systems Symposium

Hybrid systems tools for compiling controllers for cyber-physical systems

Discrete Event Dynamic Systems
Systematic selection of cluster heads for data collection

Journal of Network and Computer Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Recent advances in wireless technologies allow us to deeply embed novel sensors, actuators, computation, and communication devices to enhance automation systems. It is important to understand predictability and safety issues that are inherent in these enhanced systems. We propose a set of primitives that are suitable for developing composable automation systems that are regulated by embedded devices interacting over wireless links. We present an architecture and design that helps to realize these primitives. Using a robust platform called FireFly, we profile the performance of these primitives. Preliminary experimental results demonstrate that the latency and jitter associated with these primitives are promising and useful for a class of automation systems. In the future, this work can be extended to larger scale systems with tighter temporal constraints.