Skip to main content
Log in

High-performance fieldbus application-specific integrated circuit design for industrial smart sensor networks

  • Published:
The Journal of Supercomputing Aims and scope Submit manuscript

Abstract

Smart sensor networks (SSNs) play a crucial role in an industrial internet of things (IIoT). SSNs are also a key enabling technology for future IIoT. The main challenge in designing these networks is coping with the reliability and real-time communication limitations that characterize the network architecture. In this manuscript, first, a master/slave SSN architecture based on the high-performance Modbus communication protocol was proposed. An SSN with this architecture consists of a master controller and distributed slave sensors. Next, a smart sensor management engine that enables the control of sensor node addition, insertion, removal, automatic configuring, error processing in, and ID management of the sensor network was designed for the SSN master controller. Finally, two high-performance Modbus application-specific integrated circuits were developed for the SSN master and SSN slave. The proposed SSN solution improves the SSN performance 100 times compared with the conventional software solution. Moreover, the smart sensor management engine embedded in the master facilitates superior re-configurability, maintainability, and reliability of the SSN. Experimental results show our high-performance Modbus ASIC can satisfy the requirements of industrial and smart sensor IoT.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Quang PTA, Kim D-S (2014) Throughput-aware routing for industrial sensor networks: application to ISA100. 11a. IEEE Trans Industr Inform 10:351–363

    Article  Google Scholar 

  2. Rawat P, Deep Singh K, Chaouchi H, Bonnin J-M (2013) Wireless sensor networks: a survey on recent developments and potential synergies. J Supercomput. doi:10.1007/s11227-013-1021-9

    Google Scholar 

  3. Chen Z, Xia F, Huang T, Bu F, Wang H (2011) A localization method for the internet of things. J Supercomput. doi:10.1007/s11227-011-0693-2

    Google Scholar 

  4. Ding ZM, Xu JJ et al (2012) SeaCloudDM: a database cluster framework for managing and querying massive heterogeneous sensor sampling data. J Supercomput. doi:10.1007/s11227-012-0762-1

    Google Scholar 

  5. Yu J, Bang H-C et al (2015) Adaptive internet of things and web of things convergence platform for internet of reality services. J Supercomput. doi:10.1007/s11227-015-1489-6

    Google Scholar 

  6. Zhang T (2014) Monitor and control node in coal production safety based on LonWorks Fieldbus. In: Li X (ed) Progress in mine safety science and engineering II. CRC Press, Boca Raton, pp 309–312

    Chapter  Google Scholar 

  7. Guo ZW, Chen PP, Zhang H, Jiang MX, Li CR (2012) IMA: an integrated monitoring architecture with sensor networks. IEEE Trans Instrum Meas 61(5):1287–1295

    Article  Google Scholar 

  8. Saranli U, Avci A, Öztürk M (2011) A modular real-time fieldbus architecture for mobile robotic platforms. IEEE Trans Instrum Meas 60(3):916–927

    Article  Google Scholar 

  9. Tovar E, Vasques F (1999) Real-time fieldbus communications using Profibus networks. IEEE Trans Ind Electron 46(6):1241–1251

    Article  Google Scholar 

  10. Li Q, Jiang J, Rankin DJ (2011) Evaluation of delays induced by profibus PA networks. IEEE Trans Instrum Meas 60(8):2910–2917

    Article  Google Scholar 

  11. Salt J, Casanova V, Cuenca A, Piza R (2014) Multirate control with incomplete information over Profibus-DP network. Int J Syst Sci 45(7):1589–1605

  12. Ferrari P, Flammini A, Marioli D, Rinaldi S, Sisinni E (2010) On the implementation and performance assessment of a wirelessHART distributed packet analyzer. IEEE Trans Instrum Meas 59:1342–1352

  13. Ferrari P, Flammini A, Rizzi M, Sisinni E (2013) Improving simulation of wireless networked control systems based on WirelessHART. Comput Stand Interfaces 35(6):605–615

  14. Flammini A, Ferrari P, Sisinni E, Marioli D, Taroni A (2002) Sensor interfaces: from field-bus to ethernet and internet. Sens Actuators A Phys 101(1/2):194–202

    Article  Google Scholar 

  15. Wang Y, Li B (2014) Design and implementation of a new power transducer of switch machine. Mechatron Autom Control Syst 237:811–816

    Article  Google Scholar 

  16. Gaitan VG, Gaitan NC, Ungurean I (2014) A flexible acquisition cycle for incompletely defined fieldbus protocols. ISA Trans 53(3):776–786

    Article  Google Scholar 

  17. Reyes J, Marley V, Ricardo T (2014) Fault detection and measurements correction for multiple sensors using a modified autoassociative neural network. Neural Comput Appl 24(7–8):1929–1941

    Article  Google Scholar 

  18. Tian GY (2001) Design and implementation of distributed measurement systems using fieldbus-based intelligent sensors. IEEE Trans Instrum Meas 50(5):1197–1202

    Article  Google Scholar 

  19. Bruckner D, Picus C, Velik R, Herzner W, Zucker G (2012) Hierarchical semantic processing architecture for smart sensors in surveillance networks. IEEE Trans Industr Inform 8(2):291–301

    Article  Google Scholar 

  20. Canovas S, Cugnasca C (2010) Implementation of a control loop experiment in a network-based control system with LonWorks technology and IP networks. IEEE Trans Ind Electron 57(11):3857–3867

    Article  Google Scholar 

  21. Silva RM, Arakaki J, Junqueira F, Santos Filho DJ, Miyagi PE (2012) Modeling of active holonic control systems for intelligent buildings. Autom Constr 25:20–33

    Article  Google Scholar 

  22. Lee DS, Liu YH, Ling CR (2012) A wireless sensor enabled by wireless power. Sensors 12:16116–16143

    Article  Google Scholar 

  23. Pan Y (2007) Research of Modbus protocol and design of the experiment system. Master’s thesis, Dept. of Electrical Engineering and Automation, Harbin Institute of Technology

  24. Ma L, Xia F, Peng Z (2008) Integrated design and implementation of embedded control systems with scilab. Sensors 8:5501–5515

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ming-Yi Lin.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, CH., Lin, MY. & Guo, XC. High-performance fieldbus application-specific integrated circuit design for industrial smart sensor networks. J Supercomput 74, 4451–4469 (2018). https://doi.org/10.1007/s11227-017-2010-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11227-017-2010-1

Keywords

Navigation