Abstract
Currently, Cloud, IoT, Dew, Edge and touch networks of “things” are allocated as part of the program system. Data at the touch network level is associated with physical objects. At the Edge level, data is separated from objects to form a Digital Twin representation of their state, properties, and behavior with minimal latency. Copies of Digital Twin “things” are stored and used at different levels, but must reflect their current state. Interaction with “things” in IoT, data transport between sensor networks through their boundary nodes is considered. For Edge computing research it is proposed to create physical and virtual models of fragments of touch networks, their boundary nodes, processing of data and organization of access of devices as part of “things” to remote IoT resources. The paper shows how to build a virtual device model in a Proteus environment and assess adequacy versus a physical model. Implemented a piece of wired sensor network with TCP/IP protocol based on open platforms.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Vermesan, O., Friess, P.: Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems. River Publishers, Aalborg (2013)
Kulkarni, S., Kulkarni, S.: Communication models in internet of things: a survey. IJSTE – Int. J. Sci. Technol. Eng. 3(11), 3 (2017)
Kienzler, R.: Digital Twins and the Internet of Things (2019). https://developer.ibm.com/articles/digital-twins-and-the-internet-of-things/. Accessed 25 June 2019
Botta, A., Donato, W., Persico, V., Pescap, A.: Integration of cloud computing and internet of things: a survey. J. Future Gener. Comput. Syst. 1–54 (2015)
Sahni, Y., Cao, J., Zhang, S.: Edge mesh: a new paradigm to enable distributed intelligence in internet of things. IEEE Access 5, 16441–16458 (2017)
Higuchi, T., Yamaguchi, H., Higashino, T.: Mobile devices as an infrastructure: a survey of opportunistic sensing technology. J. Inf. Process. 23(2), 94–104 (2015)
Maharrey, B.K., Lim, A.S., Gao, S.: Interconnection between IP networks and wireless sensor networks. Int. J. Distrib. Sensor Netw., 4 December 2012. http://journals.sagepub.com/doi/full/. https://doi.org/10.1155/2012/567687. Accessed 25 June 2019
Schwartz, M.: Internet of Things with Arduino Cookbook. Packt Publishing, Birmingham (2016)
Waher, P.: IoT: Building Arduino-Based Projects (+Code). Apress, New York (2016)
Xiao, P.: Designing Embedded Systems and the Internet of Things (IoT) with the ARM Mbed. Wiley, Hoboken (2018)
Pramudianto, F.: Rapid Application Development in the Internet of Things: A Model-Based Approach. https://publications.rwth-aachen.de/record/464316/files/464316.pdf. Accessed 25 June 2019
Padraig, S., Lueth, K.: Guide to IoT solution development (2016). https://iot-analytics.com/wp/wp-content/uploads/2016/09/White-paper-Guide-to-IoT-Solution-Development-September-2016-vf.pdf. Accessed 25 June 2019
Guan, G., Dong, W., Gao, Y., Fu, K., Cheng, Z.: TinyLink: A Holistic System for Rapid Development of IoT Applications. https://ieeexplore.ieee.org/document/8116508. Accessed 25 June 2019
Karvinen, K., Karvinen, T.: IoT rapid prototyping laboratory setup. Int. J. Eng. Educ. 34(1), 263–272 (2018)
Configurable Rapid Prototyping Platform for The Internet of Things. https://www.rs-online.com/designspark/iotidk-kit. Accessed 25 June 2019
EVBUM2497/D: IoT Development Kit (IDK). Quick Start Guide. https://www.mouser.com/pdfdocs/ONSemi_IDK_QuickStart.pdf. Accessed 25 June 2019
Intel Edison and Grove IoT Starter Kit Powered by AWS. http://wiki.seeedstudio.com/Grove_IoT_Starter_Kits_Powered_by_AWS/. Accessed 25 June 2019
Plakhteyev, A., Frolov, V., Perepelitsyn, A.: Edge computing for IoT: an educational case study. In: DESSERT 2018, p. 26. http://dessert.ieee.org.ua/wp-content/uploads/2018/05/DESSERT2018program-final.pdf. Accessed 20 Oct 2019
Boyarchuk, A., Illiashenko, O., Kharchenko, V., Maevsky, D., Phillips, Ch., Plakhteyev, A., Vystorobska, L.: Internet of things for industry and human applications: ALIOT based vertically integrated education. In: Dependable IoT for Human and Industry: Modeling, Architecting, Implementation, pp. 535–559. River Publishers (2018)
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Anatoly, P., Zemlianko, H., Kharchenko, V. (2020). Prototyping and Rapid Development of IoT Systems in Context of Edge Computing. In: Nechyporuk, M., Pavlikov, V., Kritskiy, D. (eds) Integrated Computer Technologies in Mechanical Engineering. Advances in Intelligent Systems and Computing, vol 1113. Springer, Cham. https://doi.org/10.1007/978-3-030-37618-5_23
Download citation
DOI: https://doi.org/10.1007/978-3-030-37618-5_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-37617-8
Online ISBN: 978-3-030-37618-5
eBook Packages: EngineeringEngineering (R0)