Emulated network of IEEE 1451 application with multiple smart sensor reports

Gumudavelli, Suman; Gurkan, Deniz; Wang, Ray

doi:10.1109/sas.2009.4801820

Cited by 8 publications

(4 citation statements)

References 3 publications

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“…The proposed GUI display the output of the sensor in graphical waveform [48]. Gumudavelli et al the proposed NCAP is supported host embedded intelligent processor information and display in digital waveform [49]. Lee et al presented unified modelling language (UML) and ACE (automated comercial environment) mild ware based NCAP [50].…”

Section: Network Capable Application Processor (Ncap)mentioning

confidence: 99%

Current Status of the IEEE 1451 Standard-Based Sensor Applications

et al. 2015

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Abstract-In this paper, we have discussed the sensor-based applications and what is necessary for the dissimilarities in hardware realization and algorithm. This paper presents the existing state-of-the-art of IEEE 1451 standard-based sensor applications and is mainly focused on standard transducer interface module (STIM), network capable application processor (NCAP), and transducer-independent interface (TII). They have some major factors that are regularly imperative in the development of IEEE 1451 standard-based applications, such as plug and play facility, for one or more than one STIM, communication protocols/network's, architecture, reliability, maintenance, accuracy, easy to use, cost, transducer electronic data sheet, test facility, and so on. The above concerns are also summarized by reference to research articles on STIM, NCAP, and TII. Highlighting is on the predictability of dynamic applications that concentrate on the above mentioned criteria.

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Section: Network Capable Application Processor (Ncap)mentioning

confidence: 99%

Current Status of the IEEE 1451 Standard-Based Sensor Applications

et al. 2015

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“…Remote user is the control point, it obtains NCAP detailed information through device description URL, and deliver control action to NCAP service through device selection; After receiving control request message, NCAP updates state variable value, and implements corresponding action according to control parameters; Remote user dynamically monitoring NCAP current status with the help of event subscription, and NCAP will release event to inform remote users while state change. Utilizing network protocol foundation and hardware resources of NCAP, an IEEE 1451/UPnP bridge is embedded in it, which can solve the differences between the two standards, such as message format, self-identification description, device discovery and transmission bandwidth, and realize the interoperability of IEEE 1451 network and UPnP network [8]. IEEE 1451/UPnP bridge function modules are shown in Fig.…”

Section: Ieee 1451/upnp Bridgementioning

confidence: 99%

Intelligent Sensor System UPnP Networks Interface and Device Selection Realization

Zhou

Chen

Liu

2013

AMR

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The network interface is the key position in an intelligent sensor system to realize plug and play. Based on UPnP (Universal Plug and Play) and IEEE 1451serie standards, an IEEE 1451/UPnP bridge is designed to solve the differences of message formats, self-identification description, and device discovery between these two standards. Using UPnP device selection method based on information axiom, the calculation of parameters information is distributed to each NCAP (Network Capable Application Processor) that meeting the service request. The test results indicate that this method simplifies the service discovery process, reduces network interface data traffic overhead, and increases UPnP device service efficiency.

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“…Instead, it uses an extensible design, where the available information is defined by management information bases [17] (MIBs). MIB stems from the OSI/ISO network management model and is a type of database that follows the structure of management information used to manage the devices in a communication network [18,19]. It comprises a collection of objects in a database that is used to manage entities.…”

Section: Use Of Snmp Protocol For Intelligent Sensors In Networkmentioning

confidence: 99%