Embedded Virtual Machines for Robust Wireless Control Systems.

Loading...
Thumbnail Image
Penn collection
Real-Time and Embedded Systems Lab (mLAB)
Degree type
Discipline
Subject
Real-time systems
embedded systems
wireless sensor networks
virtual machines.
Funder
Grant number
License
Copyright date
Distributor
Related resources
Contributor
Abstract

Embedded wireless networks have largely focused on openloop sensing and monitoring. To address actuation in closedloop 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 programming abstraction where virtual components and their properties are maintained across node boundaries. In the context of process and discrete control, an EVM is the distributed runtime system that dynamically selects primary-backup sets of controllers to guarantee QoS given spatial and temporal constraints of the underlying wireless network. The EVM architecture defines explicit mechanisms for control, data and fault communication within the virtual component. EVM-based algorithms introduce new capabilities such as predictable outcomes and provably minimal graceful degradation during sensor/actuator failure, adaptation to mode changes and runtime optimization of resource consumption. Through the design of a natural gas process plant hardware-in-loop simulation we aim to demonstrate the preliminary capabilities of EVM-based wireless networks.

Advisor
Date of presentation
2009-01-01
Conference name
Real-Time and Embedded Systems Lab (mLAB)
Conference dates
2023-05-17T06:34:26.000
Conference location
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
Suggested Citation: Mangharam, R. and Pajic, M. (2009). Embedded Virtual Machines for Robust Wireless Control Systems. Distributed Computing Systems Workshops, 2009. ©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. http://dx.doi.org/10.1109/ICDCSW.2009.31
Recommended citation
Collection