Research on Wireless Communication Protocols and Cloud Platform Connectivity Technologies for the Industrial Internet
DOI:
https://doi.org/10.6919/ICJE.202502_11(2).0005Keywords:
Industrial Internet; Wireless Protocols; Cloud Connections.Abstract
The Industrial Internet is deeply integrating the new generation of information technology with the industrial economy, driving innovations in manufacturing and service systems. Among them, wireless communication protocols such as Wi-Fi, Bluetooth, ZigBee, and LoRa and cloud platform connection technologies play a crucial role. These protocols enable efficient data transmission between devices according to industrial needs, while the cloud platform communicates with devices through tools such as API interfaces to support functions such as remote monitoring. In integrated applications, attention should be paid to protocol compatibility, data transmission security, and cloud platform data processing capabilities, to drive the development of the Industrial Internet towards efficiency, intelligence, and security.
Downloads
References
[1] Saeed A ,Khan A M ,Akram U , et al.Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments[J].Scientific Reports,2025, 15(1):1114-1114.
[2] Retraction notice: Achieving organizational performance by integrating industrial Internet of things in the SMEs: a developing country perspective[J].The TQM Journal,2025,37(1):288-288.
[3] Qiao N ,Niu L .The Impact of the Industrial Innovation Ecosystem on Innovation Performance—Using the Equipment Manufacturing Industry as an Example[J].Systems,2024,12(12):578-578.
[4] Calderón D ,Folgado J F ,González I , et al.Implementation and Experimental Application of Industrial IoT Architecture Using Automation and IoT Hardware/Software[J].Sensors,2024,24(24):8074-8074.
[5] Liu Y ,Hu Y ,Lv X , et al.A blockchain and IPFS-Aided anonymous traitor tracing scheme based on puncturable encryption in Industrial Internet of Things[J].Computers and Electrical Engineering,2025, 122109896-109896.
[6] Samanta S ,Sarkar A .Blockchain integrated DFL model for IIoT data security in smart cities[J].International Journal of Information Technology,2024,(prepublish):1-13.
[7] Liu X ,Xu F ,Ning L , et al.A Novel Sensor Deployment Strategy Based on Probabilistic Perception for Industrial Wireless Sensor Network[J].Electronics,2024,13(24):4952-4952.
[8] Pino S F A ,Ruiz H P ,Mon A , et al.ATLANTIS: A multidimensional maturity model for evaluating the adoption of the internet of things in industrial SMEs[J].Internet of Things,2025,29101457-101457.
[9] Cheng Y Y ,Chai Y Z ,Xia M Y , et al.Task offloading for Industrial Internet of Things based on evolutionary multiobjective multitasking optimization[J].Swarm and Evolutionary Computation,2025, 92101786-101786.
[10] Rodríguez M ,Tobón P D ,Múnera D .A framework for anomaly classification in Industrial Internet of Things systems[J].Internet of Things,2025,29101446-101446.
[11] Tian H ,Huang G .Research on Distributed Secure Storage Framework of Industrial Internet of Things Data Based on Blockchain[J].Electronics,2024,13(23):4812-4812.
[12] Li M ,Wang L .Leveraging patent classification based on deep learning: The case study on smart cities and industrial Internet of Things[J].Journal of Informetrics,2025,19(1):101616-101616.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.



