A reconfigurable smart interface based on IEEE 1451 and field programmable gate array for multiple Internet of Things devices
Shulong Wang,
Yibin Hou,
Fang Gao and
Xinrong Ji
International Journal of Distributed Sensor Networks, 2017, vol. 13, issue 2, 1550147717693848
Abstract:
The Internet of Things is becoming increasingly important in traffic, medical treatment, and other industry fields. With the development of the Internet of Things technology, lots of new “things†need to be accessed to the Internet of Things. Currently, Internet of Things applications adopt multiple methods to access the heterogeneous devices. How to provide unified access means for those “things†is a fundamental issue. To solve this problem, a new method is proposed in this article to design a reconfigurable smart interface for multiple Internet of Things devices. The IEEE 1451 standard is adopted for this design, and it comprehensively specifies the smart transducer design and relevant interface protocol to implement the intelligent acquisition for common sensors and actuators. Field programmable gate array is adopted for the implementation of this design to reduce consumption of resources and enable the reconfiguration of the whole system. Performance of the proposed system is evaluated, and good performance is achieved in practical application for office environment monitoring.
Keywords: Internet of Things; IEEE 1451; field programmable gate array; sensor; actuator (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1550147717693848 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:13:y:2017:i:2:p:1550147717693848
DOI: 10.1177/1550147717693848
Access Statistics for this article
More articles in International Journal of Distributed Sensor Networks
Bibliographic data for series maintained by SAGE Publications ().