International Journal of Engineering in Computer Science

P-ISSN: 2663-3582, E-ISSN: 2663-3590
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2022, Vol. 4, Issue 2, Part A

CoAP based smart industry automation using scheduling and emergency data transmission technologies


Author(s): Mithilesh Kumar Singh, Rao Bhamidimarri and Dr. Meena Sharma

Abstract: The intelligent industrial is one of the Iota’s most significant uses. IPv6 over time-slotted channel hopping is the new protocol for industrial telecommunications (CoAP). Scaling, speed, and sustainable energy are tough problems for smart businesses. Current studies currently provide scheduling tactics for CoAP-based businesses. These works, however, fall short in real-world settings when crises occur frequent. Therefore, the goal of this research is to improve the scale, latencies, and fuel efficiency of CoAP-based smart enterprises in order to increase their practical usefulness. The new CoAP design, which incorporates edge technologies, is composed of three layers: Industry, Edge, and Cloud. Edge computing achieves scalability and latency by working in the edge layer. Real-time scheduling of crucial data packets is made possible by fuzzy logic-based parental control, which cuts down on transmission delays. Consumers can access data from numerous industries on the cloud layer. To evaluate the performance of the CoAP networks, Networks Simulator 3.26 is used. Experiments show that the proposed work achieves its objectives in terms of energy consumption, transmission time, and economics.

DOI: 10.33545/26633582.2022.v4.i2a.79

Pages: 59-66 | Views: 367 | Downloads: 179

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International Journal of Engineering in Computer Science
How to cite this article:
Mithilesh Kumar Singh, Rao Bhamidimarri, Dr. Meena Sharma. CoAP based smart industry automation using scheduling and emergency data transmission technologies. Int J Eng Comput Sci 2022;4(2):59-66. DOI: 10.33545/26633582.2022.v4.i2a.79
International Journal of Engineering in Computer Science

International Journal of Engineering in Computer Science

International Journal of Engineering in Computer Science
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