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  3. Vol. 11, No. 1, February 2026
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Vol. 11, No. 1, February 2026

Issue Published : Feb 1, 2026
Creative Commons License

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

Leveraging Green IoT to Enhance Energy-Saving Efficiency in Fairness-Oriented Residential Photovoltaic Charging Stations

https://doi.org/10.22219/kinetik.v11i1.2470
Syarifah Muthia Putri
Universitas Medan Area
Moranain Mungkin
Universitas Medan Area
Harmini
Universitas Semarang
Syechu Dwitya Nugraha
Politeknik Elektronika Negeri Surabaya

Corresponding Author(s) : Syarifah Muthia Putri

syarifahmuthia@staff.uma.ac.id

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Vol. 11, No. 1, February 2026
Article Published : Feb 1, 2026

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Abstract

As electric vehicles (EVs) continue to gain global popularity, residential photovoltaic (PV) charging stations are becoming more common, providing a sustainable way to charge EVs. However, the intermittent nature of solar energy creates challenges in ensuring consistent and fair charging, making fairness-based charging scheduling essential. To automate this process, residential PV charging stations require a customized Internet of Things (IoT) system. A significant concern is the substantial energy consumption due to the high volume of data transmission within the IoT system. This research aims to enhance energy efficiency by leveraging green IoT strategies suitable for such applications. The study proposes the use of edge computing, optimized data transmission scheduling, and delta compression techniques at the edge to minimize energy use. The results demonstrate that these strategies are effective in achieving energy savings. Energy-saving efficiency on the source side ranges from 1.96% to 7.84%, while on the load side, it ranges from 57.5% to 61.3%. These findings highlight the effectiveness of the proposed strategies in reducing energy consumption, providing an efficient solution for optimizing data transmission in residential PV charging stations. Overall, the strategies contribute to the sustainable operation of electric vehicle charging infrastructure by improving energy efficiency and ensuring fair distribution of charging resources.

Keywords

Green IoT Internet of Things Fairness Charging Energy-Saving Efficiency
Putri, S. M., Mungkin, M., Harmini, & Nugraha, S. D. (2026). Leveraging Green IoT to Enhance Energy-Saving Efficiency in Fairness-Oriented Residential Photovoltaic Charging Stations . Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 11(1). https://doi.org/10.22219/kinetik.v11i1.2470
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References
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  2. M. Harizaj, I. Bisha, and F. Basholli, “IOT integration of electric vehicle charging infrastructure,” 6 th Advanced Engineering Days, vol. 2, no. 2, pp. 136–145, 2023, ISBN: 978-605-72800-2-2.
  3. S. S. S. R.A.Sanadi, Gauri M.Patil, Rutuja M. Patil, Anjali P. Sankpal, “IOT enabled smart charging stations for electric vehicle,” International Journal Scientific Research & Engineering Trends, vol. 119, no. 7, pp. 247–252, 2022, ISSN (Online): 2395-566X
  4. K.S. Phadtare, “A Review on IoT based Electric Vehicle Charging and Parking System,” International Journal of Engineering Research and Technology, vol. V9, no. 08, pp. 831–835, 2020, doi: 10.17577/ijertv9is080361.
  5. H. M. Al-Alwash, E. Borcoci, M. C. Vochin, I. A. M. Balapuwaduge, and F. Y. Li, “Optimization Schedule Schemes for Charging Electric Vehicles: Overview, Challenges, and Solutions,” IEEE Access, vol. 12, no. January, pp. 32801–32818, 2024, doi: 10.1109/ACCESS.2024.3371890.
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  7. M. U. Saleem, M. R. Usman, M. A. Usman, and C. Politis, “Design, Deployment and Performance Evaluation of an IoT Based Smart Energy Management System for Demand Side Management in Smart Grid,” IEEE Access, vol. 10, pp. 15261–15278, 2022, doi: 10.1109/ACCESS.2022.3147484.
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  11. N. S. Madhuri, K. Shailaja, D. Saha, R. P, K. B. Glory, and M. Sumithra, “IOT integrated smart grid management system for effective energy management,” Measurement: Sensors, vol. 24, no. September, p. 100488, 2022, doi: 10.1016/j.measen.2022.100488.
  12. S. Divyapriya, Amutha, and R. Vijayakumar, “Design of Residential Plug-in Electric Vehicle Charging Station with Time of Use Tariff and IoT Technology,” in ICSNS 2018 - Proceedings of IEEE International Conference on Soft-Computing and Network Security, 2018, pp. 5–9. doi: 10.1109/ICSNS.2018.8573637.
  13. H. You and H. Tian, “Application of IoT Technology in Power Safety Management System Architecture,” IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE), pp. 149–153, 2022, doi: 10.1109/ICISCAE55891.2022.9927583.
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  17. F. A. Almalki et al., “Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities,” Mobile Networks and Applications, vol. 28, no. 1, pp. 178–202, 2023, doi: 10.1007/s11036-021-01790-w.
  18. Z. Zhou et al., “ECMS : An Edge Intelligent Energy Efficient Model in Mobile Edge Computing,” IEEE Transactions on Green Communications and Networking, vol. 6, no. 1, pp. 238–247, 2022, doi: 10.1109/TGCN.2021.3121961.
  19. B. R. Stojkoska and Z. Nikolovski, “Data Compression for Energy Efficient IoT Solutions,” 2017 25th Telecommunication Forum (TELFOR), pp. 16–19, 2017, doi: 10.1109/TELFOR.2017.8249368
  20. W. Lei, “Resource scheduling and computing offloading strategy for internet of things in mobile edge computing environment,” International Journal of Innovative Computing, Information and Control, vol. 17, no. 4, pp. 1153–1170, 2021, doi: 10.24507/ijicic.17.04.1153.
  21. M. Misbahuddin, M. S. Iqbal, D. F. Budiman, G. W. Wiriasto, and L. A. S. I. Akbar, “EAM-LoRaNet: Energy Aware Multi-hop LoRa Network for Internet of Things,” Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, vol. 4, no. 1, pp. 81–90, 2022, doi: 10.22219/kinetik.v7i1.1391.
  22. M. A. Albreem, A. M. Sheikh, M. H. Alsharif, M. Jusoh, and M. N. Mohd Yasin, “Green Internet of Things (GIoT): Applications, Practices, Awareness, and Challenges,” IEEE Access, vol. 9, pp. 38833–38858, 2021, doi: 10.1109/ACCESS.2021.3061697.
  23. M. A. M. Albreem, A. M. Sheikh, and A. A. El-Saleh, “Towards a Sustainable Environment with a Green IoT: An Overview,” Proceedings - 2022 International Conference on Computer Technologies, ICCTech 2022, pp. 52–63, 2022, doi: 10.1109/ICCTech55650.2022.00017.
  24. B. Memić, A. Hasković Džubur, and E. Avdagić-Golub, “Green IoT: sustainability environment and technologies,” Science, Engineering and Technology, vol. 2, no. 1, pp. 24–29, 2022, doi: 10.54327/set2022/v2.i1.25.
  25. O. Said, “EMS : An Energy Management Scheme for Green IoT Environments,” IEEE Access, vol. 8, pp. 44983–44998, 2020, doi: 10.1109/ACCESS.2020.2976641.
  26. Y. Zhang, H. Jiang, M. Shi, C. Wang, N. Jiang, and X. Wu, “Applying Delta Compression to Packed Datasets for Efficient Data Reduction,” IEEE Transactions on Computers, vol. 73, no. 1, pp. 73–85, 2024, doi: 10.1109/ICCD53106.2021.00078.
  27. A. K. M. Al-Qurabat, C. A. Jaoude, and A. K. Idrees, “Two tier data reduction technique for reducing data transmission in IoT sensors,” 2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019, no. December 2021, pp. 168–173, 2019, doi: 10.1109/IWCMC.2019.8766590.
  28. S. N. Gowda, A. Ahmadian, V. Anantharaman, C. C. Chu, and R. Gadh, “Power Management via Integration of Battery Energy Storage Systems with Electric Bus Charging,” in 2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022, 2022. doi: 10.1109/ISGT50606.2022.9817511.
  29. D. Piątkowski, T. Puślecki, and K. Walkowiak, “Study of the Impact of Data Compression on the Energy Consumption Required for Data Transmission in a Microcontroller-Based System,” Sensors, vol. 24, no. 1, 2024, doi: 10.3390/s24010224.
  30. W. B. Heinzelman, A. P. Chandrakasan, and S. Member, “An Application-Specific Protocol Architecture for Wireless Microsensor Networks,” IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, vol. 1, no. 4, 2002, doi: 10.1109/TWC.2002.804190.
  31. M. Eduardo, R. Angeles, I. Yolanda, and O. Flores, “Tools for the selection of the transmission probability in the cluster formation phase for Event-Driven Wireless Sensor Networks,” pp. 101–110, 2014, doi:10.17533/udea.redin.15731.
  32. Y. Li, A. C. Orgerie, I. Rodero, B. L. Amersho, M. Parashar, and J. M. Menaud, “End-to-end energy models for Edge Cloud-based IoT platforms: Application to data stream analysis in IoT,” Future Generation Computer Systems, vol. 87, pp. 667–678, 2018, doi: 10.1016/j.future.2017.12.048.
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References


S. M. Putri, M. Ashari, Endroyono, and H. Suryoatmojo, “Design of a Smart Distribution Strategy for a Residential Electric Vehicle Charging System Fully Powered by Photovoltaics Under Intermittent Conditions,” International Review Electrical Engineering, vol. 20, no. 1, pp. 69–79, 2025, doi: 10.15866/iree.v20i1.26264.

M. Harizaj, I. Bisha, and F. Basholli, “IOT integration of electric vehicle charging infrastructure,” 6 th Advanced Engineering Days, vol. 2, no. 2, pp. 136–145, 2023, ISBN: 978-605-72800-2-2.

S. S. S. R.A.Sanadi, Gauri M.Patil, Rutuja M. Patil, Anjali P. Sankpal, “IOT enabled smart charging stations for electric vehicle,” International Journal Scientific Research & Engineering Trends, vol. 119, no. 7, pp. 247–252, 2022, ISSN (Online): 2395-566X

K.S. Phadtare, “A Review on IoT based Electric Vehicle Charging and Parking System,” International Journal of Engineering Research and Technology, vol. V9, no. 08, pp. 831–835, 2020, doi: 10.17577/ijertv9is080361.

H. M. Al-Alwash, E. Borcoci, M. C. Vochin, I. A. M. Balapuwaduge, and F. Y. Li, “Optimization Schedule Schemes for Charging Electric Vehicles: Overview, Challenges, and Solutions,” IEEE Access, vol. 12, no. January, pp. 32801–32818, 2024, doi: 10.1109/ACCESS.2024.3371890.

Y. Cao, “Online Routing and Charging Schedule of Electric Vehicles with Uninterrupted Charging Rates,” IEEE Access, vol. 10, no. August, pp. 98572–98583, 2022, doi: 10.1109/ACCESS.2022.3206789.

M. U. Saleem, M. R. Usman, M. A. Usman, and C. Politis, “Design, Deployment and Performance Evaluation of an IoT Based Smart Energy Management System for Demand Side Management in Smart Grid,” IEEE Access, vol. 10, pp. 15261–15278, 2022, doi: 10.1109/ACCESS.2022.3147484.

M. M. Alenazi, “IoT and Energy,” Internet Things - New Insights, 2024, doi: 10.5772/intechopen.113173.

E. F. Orumwense and K. Abo-Al-Ez, “Internet of Things for smart energy systems: A review on its applications, challenges and future trends,” AIMS Electronics and Electrical Engineering, vol. 7, no. 1, pp. 50–74, 2022, doi: 10.3934/electreng.2023004.

G. Bedi, G. K. Venayagamoorthy, R. Singh, R. R. Brooks, and K. C. Wang, “Review of Internet of Things (IoT) in Electric Power and Energy Systems,” IEEE Internet of Things Journal, vol. 5, no. 2, pp. 847–870, 2018, doi: 10.1109/JIOT.2018.2802704.

N. S. Madhuri, K. Shailaja, D. Saha, R. P, K. B. Glory, and M. Sumithra, “IOT integrated smart grid management system for effective energy management,” Measurement: Sensors, vol. 24, no. September, p. 100488, 2022, doi: 10.1016/j.measen.2022.100488.

S. Divyapriya, Amutha, and R. Vijayakumar, “Design of Residential Plug-in Electric Vehicle Charging Station with Time of Use Tariff and IoT Technology,” in ICSNS 2018 - Proceedings of IEEE International Conference on Soft-Computing and Network Security, 2018, pp. 5–9. doi: 10.1109/ICSNS.2018.8573637.

H. You and H. Tian, “Application of IoT Technology in Power Safety Management System Architecture,” IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE), pp. 149–153, 2022, doi: 10.1109/ICISCAE55891.2022.9927583.

J. Azar, A. Makhoul, M. Barhamgi, and R. Couturier, “An energy efficient IoT data compression approach for edge machine learning,” Future Generation Computer Systems, vol. 96, pp. 168–175, 2019, doi: 10.1016/j.future.2019.02.005.

R. K. Mohammed H. Alsharif, Abu Jahid, Anabi Hilary Kelechi, “Green IoT : A Review and Future Research Directions,” Symmetry (Basel)., pp. 1–37, 2024, https://www.mdpi.com/2073-8994/15/3/757

S. Benhamaid, A. Bouabdallah, and H. Lakhlef, “Recent advances in energy management for Green-IoT: An up-to-date and comprehensive survey,” Journal of Network and Computer Applications, vol. 198, no. November 2021, p. 103257, 2022, doi: 10.1016/j.jnca.2021.103257.

F. A. Almalki et al., “Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities,” Mobile Networks and Applications, vol. 28, no. 1, pp. 178–202, 2023, doi: 10.1007/s11036-021-01790-w.

Z. Zhou et al., “ECMS : An Edge Intelligent Energy Efficient Model in Mobile Edge Computing,” IEEE Transactions on Green Communications and Networking, vol. 6, no. 1, pp. 238–247, 2022, doi: 10.1109/TGCN.2021.3121961.

B. R. Stojkoska and Z. Nikolovski, “Data Compression for Energy Efficient IoT Solutions,” 2017 25th Telecommunication Forum (TELFOR), pp. 16–19, 2017, doi: 10.1109/TELFOR.2017.8249368

W. Lei, “Resource scheduling and computing offloading strategy for internet of things in mobile edge computing environment,” International Journal of Innovative Computing, Information and Control, vol. 17, no. 4, pp. 1153–1170, 2021, doi: 10.24507/ijicic.17.04.1153.

M. Misbahuddin, M. S. Iqbal, D. F. Budiman, G. W. Wiriasto, and L. A. S. I. Akbar, “EAM-LoRaNet: Energy Aware Multi-hop LoRa Network for Internet of Things,” Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, vol. 4, no. 1, pp. 81–90, 2022, doi: 10.22219/kinetik.v7i1.1391.

M. A. Albreem, A. M. Sheikh, M. H. Alsharif, M. Jusoh, and M. N. Mohd Yasin, “Green Internet of Things (GIoT): Applications, Practices, Awareness, and Challenges,” IEEE Access, vol. 9, pp. 38833–38858, 2021, doi: 10.1109/ACCESS.2021.3061697.

M. A. M. Albreem, A. M. Sheikh, and A. A. El-Saleh, “Towards a Sustainable Environment with a Green IoT: An Overview,” Proceedings - 2022 International Conference on Computer Technologies, ICCTech 2022, pp. 52–63, 2022, doi: 10.1109/ICCTech55650.2022.00017.

B. Memić, A. Hasković Džubur, and E. Avdagić-Golub, “Green IoT: sustainability environment and technologies,” Science, Engineering and Technology, vol. 2, no. 1, pp. 24–29, 2022, doi: 10.54327/set2022/v2.i1.25.

O. Said, “EMS : An Energy Management Scheme for Green IoT Environments,” IEEE Access, vol. 8, pp. 44983–44998, 2020, doi: 10.1109/ACCESS.2020.2976641.

Y. Zhang, H. Jiang, M. Shi, C. Wang, N. Jiang, and X. Wu, “Applying Delta Compression to Packed Datasets for Efficient Data Reduction,” IEEE Transactions on Computers, vol. 73, no. 1, pp. 73–85, 2024, doi: 10.1109/ICCD53106.2021.00078.

A. K. M. Al-Qurabat, C. A. Jaoude, and A. K. Idrees, “Two tier data reduction technique for reducing data transmission in IoT sensors,” 2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019, no. December 2021, pp. 168–173, 2019, doi: 10.1109/IWCMC.2019.8766590.

S. N. Gowda, A. Ahmadian, V. Anantharaman, C. C. Chu, and R. Gadh, “Power Management via Integration of Battery Energy Storage Systems with Electric Bus Charging,” in 2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022, 2022. doi: 10.1109/ISGT50606.2022.9817511.

D. Piątkowski, T. Puślecki, and K. Walkowiak, “Study of the Impact of Data Compression on the Energy Consumption Required for Data Transmission in a Microcontroller-Based System,” Sensors, vol. 24, no. 1, 2024, doi: 10.3390/s24010224.

W. B. Heinzelman, A. P. Chandrakasan, and S. Member, “An Application-Specific Protocol Architecture for Wireless Microsensor Networks,” IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, vol. 1, no. 4, 2002, doi: 10.1109/TWC.2002.804190.

M. Eduardo, R. Angeles, I. Yolanda, and O. Flores, “Tools for the selection of the transmission probability in the cluster formation phase for Event-Driven Wireless Sensor Networks,” pp. 101–110, 2014, doi:10.17533/udea.redin.15731.

Y. Li, A. C. Orgerie, I. Rodero, B. L. Amersho, M. Parashar, and J. M. Menaud, “End-to-end energy models for Edge Cloud-based IoT platforms: Application to data stream analysis in IoT,” Future Generation Computer Systems, vol. 87, pp. 667–678, 2018, doi: 10.1016/j.future.2017.12.048.

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KINETIK: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
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