NDLI: Demo abstract: Embedded Virtual Machines for wireless industrial automation

Content Provider	IEEE Xplore Digital Library
Author	Mangharam, R. Pajic, M. Sastry, S.
Copyright Year	2009
Description	Author affiliation: Dept. Electrical & Computer Engineering, University of Akron, USA (Sastry, S.) \|\| Dept. of Electrical & Systems Engineering, University of Pennsylvania, USA (Mangharam, R.; Pajic, M.)
Abstract	The factory of the future is the Wireless Factory - fully programmable, nimble and adaptive to planned mode changes and unplanned faults. Today automotive assembly lines loose over $22,000 per minute of downtime. The systems are rigid, difficult to maintain, operate and diagnose. Our goal is to demonstrate the initial architecture and protocols for all-wireless factory control automation. Embedded wireless networks have largely focused on open-loop sensing and monitoring. To address actuation in closed-loop wireless control systems there is a strong need to re-think the communication architectures and protocols for reliability, coordination and control. As the links, nodes and topology of wireless systems are inherently unreliable, such time-critical and safety-critical applications require programming abstractions where the tasks are assigned to the sensors, actuators and controllers as a single component rather than statically mapping a set of tasks to a specific physical node at design time. To this end, we introduce the Embedded Virtual Machine (EVM), a powerful and flexible runtime system where virtual components and their properties are maintained across node boundaries. EVM-based algorithms introduce new capabilities such as provably minimal graceful degradation during sensor/actuator failure, adaptation to mode changes and runtime optimization of resource consumption. Through the design of a micro-factory we aim to demonstrate the capabilities of EVM-based wireless networks.
Starting Page	413
Ending Page	414
File Size	571035
Page Count	2
File Format	PDF
ISBN	9781424451081
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Association for Computing Machinery, Inc. (ACM)
Subject Keyword	Actuators wireless sensor networks Communication system control Open loop systems Control systems Virtual machining Production facilities Automotive engineering Wireless sensor networks embedded systems virtual machines Automatic control Real-time systems Manufacturing automation
Content Type	Text
Resource Type	Article

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