Keywords
Edge AI
Sensor Networks
Data Processing
Neural Networks
Real-Time Analytics IoT
Edge AI
сенсорні мережі
обробка даних
ейронні мережі
аналітика в реальному часі
How to Cite
Abstract
The integration of devices and sensors within the Internet of Things (IoT) expands not only the scope for monitoring and controlling environments but also fundamentally redefines the management of data, with promising implications across various sectors. This paper explores a novel approach to IoT data processing that leverages edge-based neural networks within sensor networks, enabling on-site data analysis and decision-making. Our study focuses on sectors with high latency sensitivity—such as remote healthcare, predictive maintenance in industrial settings, and real-time environmental monitoring. By embedding advanced data analytics closer to the source, this approach enhances data privacy, reduces communication loads, and paves the way for more resilient and scalable IoT ecosystems. We address both the technological benefits and implementation challenges, offering insights into how these advancements can transform industries through increased data autonomy and efficiency. References 21, tables 2, figures 5.
References
Alahi M.E.E., Pereira Ishak N., Mukhopadhyay S.C., Burkitt L. An Internet-of-Things Enabled Smart Sensing System for Nitrate Monitoring. IEEE Internet Things J. 2018. Vol. 5. Pp. 4409-4417. DOI: https://doi.org/10.1109/JIOT.2018.2809669.
Alahi M.E.E., Mukhopadhyay S.C., Burkitt L. Imprinted Polymer Coated Impedimetric Nitrate Sensor for Real-Time Water Quality Monitoring. Sens. Actuators B Chem. 2018. Vol. 259. Pp. 753-761. DOI: https://doi.org/10.1016/j.snb.2017.12.104
Mammadov N.S., Ganiyeva N.A., Aliyeva G.A. Role of renewable energy sources in the world. Journal of Renewable Energy, Electrical and Computer Engineering. September 2022. Vol 2. Pp. 63-67. DOI: https://doi.org/10.29103/jreece.v2i2.8779.
Djahel S., Jabeur N., Barrett R., Murphy J. Toward V2I Communication Technology-Based Solution for Reducing Road Traffic Congestion in Smart Cities. International Symposium on Networks, Computers and Communications (ISNCC), Yasmine Hammamet, Tunisia, 13-15 May 2015. Vol. 13. No 15. Pp. 1-6. DOI: https://doi.org/10.1109/ISNCC.2015.7238584.
Rahimli I., Bakhtiyarov A., Abdullayeva G., Rzayeva S. Application of Optical Current Sensors in Electric Substations. Electrotechnical Review. 2024. Vol. 2024. Issue 2. Pp. 132-134. DOI: https://doi.org/10.15199/48.2024.02.26.
Wenge R., Zhang X., Dave C., Chao L., Hao S. Smart City Architecture: A Technology Guide for Implementation and Design Challenges. China Communications. 2014. Vol. 11. Issue 3. Pp. 56-69. DOI: https://doi.org/10.1109/CC.2014.6825259.
Patti E., Acquaviva A. IoT Platform for Smart Cities: Requirements and Implementation Case Studies. IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow (RTSI), Bologna, Italy, 07-09 September 2016. Pp. 1-6. DOI: https://doi.org/10.1109/RTSI.2016.7740618.
Rzayeva S.V., Piriyeva N.M., Guseynova I.A. Analysis of reliability of typical power supply circuits. Reliability: Theory & Applications. 2024. Vol. 19. No 3(79). Pp. 173-178. DOI: https://doi.org/10.24412/1932-2321-2024-379-173-178
Ngu A.H. IoT Middleware: A Survey on Issues and Enabling Technologies. IEEE Internet of Things Journal. 2016. Vol. 4. No 1. Pp. 1-20. DOI: https://doi.org/10.1109/JIOT.2016.2615180.
Ackermann T., Anderson G., Soeder L. Distributed Generation: A Definition. Electric Power Systems Research. 2001. Vol. 57. Pp. 195-204. DOI: https://doi.org/10.1016/S0378-7796(01)00101-8
Rzayev S.V., Guseynova I.A. Application of automatic monitoring and control systems for reliability of power transmission lines. Reliability: Theory & Applications. 2024. Vol. 19. No 2(78). Pp. 64-69. DOI: https://doi.org/10.24412/1932-2321-2024-278-64-69.
Mokhtarpour A., Pashaei A., Pournaji S. Performance of PSO Algorithm in Coordination of Directional Overcurrent Relays Considering Fault Current Direction. International Journal on Technical and Physical Problems of Engineering (IJTPE). 2020. Vol. 12. Issue 42. No 1. Pp. 105-109.
Odeh A.H., Odeh M.A. Increasing the Efficiency of Online Healthcare Services Software and Mobile Applications Using Artificial Intelligence Technology. International Journal on Technical and Physical Problems of Engineering (IJTPE). 2020. Vol. 12. Issue 44. No 3. Pp. 16-22.
Al-Ali A.R. A Smart Home Energy Management System Using IoT and Big Data Analytics Approach. IEEE Transactions on Consumer Electronics. 2017. Vol. 63. No 4. Pp. 426-434. DOI: https:/doi.org/10.1109/TCE.2017.015014.
Di Zenobio D., Steenhaut K., Thielemans S. An IoT Platform Integrated into an Energy Efficient DC Lighting Gri. 2017 Wireless Telecommunications Symposium (WTS), Chicago, IL, USA, 26-28 April 2017. Pp. 1-6. https://doi.org/10.1109/WTS.2017.7943547.
Kondoro A. Enhancing Security in Distributed Internet-of-Things Based Communication System for Agent Driven Smart Micro-Grid. IEEE PES/IAS PowerAfrica, Cape Town, South Africa, 28-29 June 2018. Pp. 880-884. DOI: https://doi.org/10.1109/PowerAfrica.2018.8521151.
Massie M.L., Chun B.N., Culler D.E. The Ganglia Distributed Monitoring System: Design, Implementation, and Experience. Parallel Computing. 2004. Vol. 30. Issue 7. Pp. 817-840. DOI: https://doi.org/10.1016/j.parco.2004.04.001.
You S., Jin L., Hu J. The Danish Perspective of Energy Internet: From Service-Oriented Flexibility Trading to Integrated Design, Planning and Operation of Multiple Cross-Sectoral Energy Systems. Zhongguo Dianji Gongcheng Xuebao. 2015. Vol. 35. No 14. Pp. 3470-3481. DOI: https://doi.org/10.13334/j.0258-8013.pcsee.2015.14.001.
Zhang X-P. A Framework for Operation and Control of Smart Grids with Distributed Generation. IEEE Power and Energy Society General Meeting-– Conversion and Delivery of Electrical Energy in the 21st Century, Pittsburgh, PA, USA, 20-24 July 2008. Pp. 1-5. DOI: https://doi.org/10.1109/PES.2008.4596344.
Kerimzade G.S., Rzayeva S.V. Integration of devices and sensors into internet of things (IoT): new opportunities for monitoring and managing devices and processes. The 20th International Conference on Technical and Physical Problems of Engineering (ICTPE), 31 October 2024. Pp.165-169.
Feasycom. LoRa and BLE: The Latest Application in IoT. URL: https://www.feasycom.com/ru/lora-and-ble.html (accessed at 15.01.2025).
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright (c) 2025 Tekhnichna Elektrodynamika