Modern embedded control systems are asked to exhibit higher distribution, higher degree of integration and to support operational flexibility. Conventionally the planning of distributed control systems was done either...
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Modern embedded control systems are asked to exhibit higher distribution, higher degree of integration and to support operational flexibility. Conventionally the planning of distributed control systems was done either by considering worst-case requirements, leading to expensive and inefficient designs, or by considering average requirements, potentially leading to occasional run-time overloads. the dynamic rate adaptation technique was developed to support operational flexibility and a higher degree of integration in distributed control systems. this technique adapts the communication requirements of distributed feedback control loops by increasing the sampling periods of the messages associated to the control action in order to free network bandwidth when a possible network overload condition is detected. the distributed controllers have to be able to deal withthe change of the sampling period and the variable sampling to actuation delay. this work reports different control approaches used in the implementation of the dynamic rate adaptation method, namely a static version based on a set of controllers with parameters pre-computed off-line, a dynamic version where the system parameters are identified online according to the dynamic behaviour of the distributed system and a hybrid version using an adaptive controller with a set of online identifiers.
this paper proposes a system architecture that uses smart adaptive wireless networks of embedded sensing components to automatically detect uncommon or dangerous situations. the transformation of sensor values to sema...
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this paper proposes a system architecture that uses smart adaptive wireless networks of embedded sensing components to automatically detect uncommon or dangerous situations. the transformation of sensor values to semantic concepts enables the system to recognize predefined situation recognition and create a consistent world model between the nodes. It supports human operators of surveillance system and brings existing CCTV systems to the next level of machine-supported scenario detection.
Petri nets are a well-known formalism widely used in different application areas. Yet, the lack of adequate tools that can be integrated within engineering development frameworks are one major drawback. this paper ide...
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Petri nets are a well-known formalism widely used in different application areas. Yet, the lack of adequate tools that can be integrated within engineering development frameworks are one major drawback. this paper identifies and justifies the characteristics of one class of Petri nets targeted for the modelling of automation systems and (networked) embeddedsystems, named as input-output Petri net (IOPT), and its representation using the Petri net markup language (PNML). the paper also presents a set of associated tools under development. this Petri net class, defined on top of the well-known place-transition Petri nets, is the common link across a set of tools under development, including a graphical editor, a state-space analyser for the verification of properties, conflict resolution through automatic arbiter generation, automatic code generators, simulator, among others. In this sense, the main goal of the proposed Petri net class and associated tools is to support the entire system development flow, from specification to implementation.
Dual-radio, dual-processor nodes are an emerging class of Wireless sensor Network devices that provide both low-energy operation as well as substantially increased computational performance and communication bandwidth...
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Dual-radio, dual-processor nodes are an emerging class of Wireless sensor Network devices that provide both low-energy operation as well as substantially increased computational performance and communication bandwidth for applications. In such systems, the secondary radio and processor operates with sufficiently low power that it may remain always vigilant, while the main processor and primary, high-bandwidth radio remain off until triggered by the application. By exploiting the high energy efficiency of the main processor and primary radio along with proper usage, net operating energy benefits are enabled for applications. the secondary radio provides a constantly available multi-hop network, while paths in the primary network exist only when required. this paper describes a topology control mechanism for establishing an end-to-end path in a network of dual-radio nodes using the secondary radios as a control channel to selectively wake up nodes along the required end-to-end path. Using numerical models as well as testbed experimentation, we show that our proposed mechanism provides significant energy savings of more than 60% compared to alternative approaches, and that it incurs only moderately greater application latency.
this paper presents a technique to integrate energy efficient ubiquitous sensors to work in a network for optimum control. this optimization technique can reduce power consumption by using wireless communicating senso...
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this paper presents a technique to integrate energy efficient ubiquitous sensors to work in a network for optimum control. this optimization technique can reduce power consumption by using wireless communicating sensors with a supervisor control. this supervisory control of the sensors gives it an advantage of being controllable from any embedded, desktop or Internet platform. sensors for different purposes can work together to form a network which can be implemented in many environment like homes, city, hospitals and remote locations like mountains, forests etc. We employed an optimized sensing system and algorithm which reduced the number of sensors and power consumption.
A broad range of embeddednetworkedsensor (ENS) systems for critical environmental monitoring applications now require complex, high peak power dissipating sensor devices, as well as on-demand high performance comput...
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ISBN:
(纸本)1595933344
A broad range of embeddednetworkedsensor (ENS) systems for critical environmental monitoring applications now require complex, high peak power dissipating sensor devices, as well as on-demand high performance computing and high bandwidth communication. embedded computing demands for these new platforms include support for computationally intensive image and signal processing as well as optimization and statistical computing. To meet these new requirements while maintaining critical support for low energy operation, a new multiprocessor node hardware and software architecture, Low Power Energy Aware Processing (LEAP), has been developed. the LEA-P architecture integrates fine-grained energy dissipation monitoring and sophisticated power control scheduling for all subsystems including sensor subsystems. this paper also describes a new distributed node testbed demonstrating that by exploiting high high energy efficiency components and enabling proper on-demand scheduling, the LEAP architecture may meet both sensing performance and energy dissipation objectives for a broad class of applications.
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