High-level modeling and synthesis of smart sensor networks for Industrial Internet of Things

被引:17
作者
Chen, Ching-Han [1 ]
Lin, Ming-Yi [1 ]
Guo, Xing-Chen [1 ]
机构
[1] Natl Cent Univ, Dept Comp Sci & Informat Engn, Machine Intelligence & Automat Technol MIAT Lab, Taoyuan 32001, Taiwan
关键词
Discrete-event modeling; High-level synthesis; Industrial Internet of Things (IIoT); Smart sensor network; DIAGNOSIS; IOT; WSN;
D O I
10.1016/j.compeleceng.2017.06.005
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
080201 [机械制造及其自动化];
摘要
In this work, we use a high-level design methodology for the rapid hardware synthesis of a complex smart sensor network (SSN) system. The GRAFCET is then used to model the individual functional modules and the hierarchical behavior of the system. The behavior of each module is represented as a sequential-concurrent hybrid discrete event system. We apply high-level synthesis rules to generate a VHSIC hardware description language (VHDL)-target efficient hardware for a smart sensor controller and smart gateway controller. Finally, these embedded hardware controllers are generated automatically to integrate all intelligent functional modules into a complex embedded system, and a hardware circuit is then synthesized. The experimental results show that the hardware circuit can meet the definition of an SSN system for Industrial Internet of Things applications. Moreover, this methodology enables a coherent design quality, short design period, low development cost, and short time-to-market for complex industrial applications. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:48 / 66
页数:19
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