Green Communication with Object Detection for Energy-Efficient Smart Shopping Carts
DOI:
https://doi.org/10.22581/muet1982.0196Keywords:
Green IoT, Object Detection, Energy Optimization, YOLO, Smart Retail, Sustainable DevelopmentAbstract
With an emphasis on reducing environmental impact and increasing energy efficiency, this research investigates how green communication principles might improve the performance of Internet of Things (IoT) devices. Given the rising importance of green communication in solving environmental problems, including CO2 emissions and pollution, the study explores the fundamental ideas, operational cycles, advantages, and uses of both IoT and green IoT. For retail settings, a smart shopping cart system has been developed to show how these ideas may be applied practically. Through green RFID technology, the system allows for quick item scanning and eliminates standard barcode readers, hence saving energy. Furthermore, a YOLOv9 object detection model is included to help precisely recognize and monitor items in real-time, therefore smoothing personalized suggestions, stock control, and loss reduction. By reducing energy consumption, reducing waste, and maximizing resource use, this combined strategy not only improves the user experience by streamlining the checkout process and providing useful product information but also supports a more sustainable retail system. The system emphasizes the possibility of using sophisticated technology, including RFID and computer vision, together with green communication ideas to create unique and environmentally friendly IoT applications. Future research can investigate edge computing applications, including more green technologies, and broaden the system's uses in several different retail and IoT sectors.
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References
J. C. Shovic, “Introduction to IoT,” Raspberry Pi IoT Proj., pp. 1–11, 2021, doi: 10.1007/978-1-4842-6911-4_1.
[2] J. Y. Khan, “Introduction to IoT Systems,” Internet of Things (IoT), pp. 1–24, Sep. 2019, doi: 10.1201/9780429399084-1.
[3] A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, “Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications,” IEEE Commun. Surv. Tutorials, vol. 17, no. 4, pp. 2347–2376, Oct. 2015, doi: 10.1109/COMST.2015.2444095.
[4] S. Kumar, P. Tiwari, and M. Zymbler, “Internet of Things is a revolutionary approach for future technology enhancement: a review,” J. Big Data, vol. 6, no. 1, pp. 1–21, Dec. 2019, doi: 10.1186/S40537-019-0268-2/FIGURES/9.
[5] M. A. M. Albreem et al., “Green internet of things (IoT): An overview,” 2017 IEEE Int. Conf. Smart Instrumentation, Meas. Appl. ICSIMA 2017, vol. 2017-November, pp. 1–6, Jul. 2017, doi: 10.1109/ICSIMA.2017.8312021.
[6] Z. Niu, “Green Communication and Networking: A New Horizon,” IEEE Trans. Green Commun. Netw., vol. 4, no. 3, pp. 629–630, Sep. 2020, doi: 10.1109/TGCN.2020.3014754.
[7] C. Zhu, V. C. M. Leung, L. Shu, and E. C. H. Ngai, “Green Internet of Things for Smart World,” IEEE Access, vol. 3, pp. 2151–2162, 2015, doi: 10.1109/ACCESS.2015.2497312.
[8] R. Arshad, S. Zahoor, M. A. Shah, A. Wahid, and H. Yu, “Green IoT: An investigation on energy saving practices for 2020 and beyond,” IEEE Access, vol. 5, pp. 15667–15681, Jul. 2017, doi: 10.1109/ACCESS.2017.2686092.
[9] J. Lorincz, A. Capone, and J. Wu, “Greener, Energy-Efficient and Sustainable Networks: State-Of-The-Art and New Trends,” Sensors 2019, Vol. 19, Page 4864, vol. 19, no. 22, p. 4864, Nov. 2019, doi: 10.3390/S19224864.
[10] M. H. Alsharif, A. Jahid, A. H. Kelechi, and R. Kannadasan, “Green IoT: A Review and Future Research Directions,” Symmetry 2023, Vol. 15, Page 757, vol. 15, no. 3, p. 757, Mar. 2023, doi: 10.3390/SYM15030757.
[11] L. Liu and A. R. Mishra, “Enabling technologies challenges of green Internet of Things (IoT) towards sustainable development in the era of Industry 4.0,” Technol. Econ. Dev. Econ., vol. 30, no. 2, pp. 344-375–344–375, Apr. 2024, doi: 10.3846/TEDE.2022.16520.
[12] Z. Y. M. Yusoff, M. K. Ishak, and K. A. Alezabi, “The role of RFID in green IoT: A survey on technologies, challenges and a way forward,” Adv. Sci. Technol. Eng. Syst., vol. 6, no. 1, pp. 17–35, 2021, doi: 10.25046/AJ060103.
[13] R. Singh and A. Jain, “A Study of Various Energy Efficiency Techniques in Green IoT,” Proc. - 2021 3rd Int. Conf. Adv. Comput. Commun. Control Networking, ICAC3N 2021, pp. 596–601, 2021, doi: 10.1109/ICAC3N53548.2021.9725708.
[14] M. De Sanctis, E. Cianca, and V. Joshi, “Energy efficient wireless networks towards green communications,” Wirel. Pers. Commun., vol. 59, no. 3, pp. 537–552, Aug. 2011, doi: 10.1007/S11277-011-0244-4/METRICS.
[15] Q. Wu, G. Y. Li, W. Chen, D. W. K. Ng, and R. Schober, “An Overview of Sustainable Green 5G Networks,” IEEE Wirel. Commun., vol. 24, no. 4, pp. 72–80, 2017, doi: 10.1109/MWC.2017.1600343.
[16] S. Zhang, X. Cai, W. Zhou, and Y. Wang, “Green 5G enabling technologies: an overview,” IET Commun., vol. 13, no. 2, pp. 135–143, Jan. 2019, doi: 10.1049/IET-COM.2018.5448.
[17] S. Zhang, Q. Wu, S. Xu, and G. Y. Li, “Fundamental Green Tradeoffs: Progresses, Challenges, and Impacts on 5G Networks,” IEEE Commun. Surv. Tutorials, vol. 19, no. 1, pp. 33–56, Jan. 2017, doi: 10.1109/COMST.2016.2594120.
[18] S. F. Abedin, M. G. R. Alam, R. Haw, and C. S. Hong, “A system model for energy efficient green-IoT network,” Int. Conf. Inf. Netw., vol. 2015-January, pp. 177–182, Mar. 2015, doi: 10.1109/ICOIN.2015.7057878.
[19] M. Imran, S. Jabbar, N. Chilamkurti, and J. J. P. C. Rodrigues, “Enabling technologies for Social Internet of Things,” Futur. Gener. Comput. Syst., vol. 92, pp. 715–717, Mar. 2019, doi: 10.1016/J.FUTURE.2018.11.018.
[20] L. Atzori, A. Iera, and G. Morabito, “The Internet of Things: A survey,” Comput. Networks, vol. 54, no. 15, pp. 2787–2805, Oct. 2010, doi: 10.1016/J.COMNET.2010.05.010.
[21] X. Fernando and G. Lăzăroiu, “Energy-Efficient Industrial Internet of Things in Green 6G Networks,” Appl. Sci., vol. 14, no. 18, p. 8558, Sep. 2024, doi: 10.3390/APP14188558/S1.
[22] V. Dankan Gowda, V. K. Maddineni, V. A. K. Gummadi, and P. Damacharla, “An Intelligent Framework for Energy Management in IoT Networks Using Machine Learning,” Proc. 5th Int. Conf. Smart Electron. Commun. ICOSEC 2024, pp. 765–771, Sep. 2024, doi: 10.1109/ICOSEC61587.2024.10722250.
[23] K. S. Mohamed, M. Y. Alias, M. Roslee, and Y. M. Raji, “Towards green communication in 5G systems: Survey on beamforming concept,” IET Commun., vol. 15, no. 1, pp. 142–154, Dec. 2020, doi: 10.1049/CMU2.12066.
[24] F. A. Almalki et al., “Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities,” Mob. Networks Appl. 2021 281, vol. 28, no. 1, pp. 178–202, Aug. 2021, doi: 10.1007/S11036-021-01790-W.
[25] T. Sanislav, G. D. Mois, S. Zeadally, and S. C. Folea, “Energy Harvesting Techniques for Internet of Things (IoT),” IEEE Access, vol. 9, pp. 39530–39549, 2021, doi: 10.1109/ACCESS.2021.3064066.
[26] J. Žic, S. Žic, G. Đukić, and S. Dabić-Miletić, “Exploring Green Inventory Management through Periodic Review Inventory Systems—A Comprehensive Literature Review and Directions for Future Research,” Sustain. 2024, Vol. 16, Page 5544, vol. 16, no. 13, p. 5544, Jun. 2024, doi: 10.3390/SU16135544.
[27] J. Redmon and A. Farhadi, “YOLOv3: An Incremental Improvement,” Apr. 2018, Accessed: Feb. 05, 2025. [Online]. Available: https://arxiv.org/abs/1804.02767v1
[28] X. Qiu, Y. Chen, W. Cai, M. Niu, and J. Li, “LD-YOLOv10: A Lightweight Target Detection Algorithm for Drone Scenarios Based on YOLOv10,” Electron. 2024, Vol. 13, Page 3269, vol. 13, no. 16, p. 3269, Aug. 2024, doi: 10.3390/ELECTRONICS13163269.
[29] G. Zgorni, A. Qussay, S. Elmasry, R. Ayman, S. A. Habib, and M. Hossam, “Retail Enhancement Using Computer Vision Models,” vol. 12, pp. 82–86, Jul. 2024, doi: 10.1109/IMSA61967.2024.10652880.
[30] L. Tan, S. Liu, J. Gao, X. Liu, L. Chu, and H. Jiang, “Enhanced Self-Checkout System for Retail Based on Improved YOLOv10,” J. Imaging, vol. 10, no. 10, pp. 248–248, Oct. 2024, doi: 10.3390/JIMAGING10100248.
[31] M. Geissdoerfer, P. Savaget, N. M. P. Bocken, and E. J. Hultink, “The Circular Economy – A new sustainability paradigm?,” J. Clean. Prod., vol. 143, pp. 757–768, Feb. 2017, doi: 10.1016/J.JCLEPRO.2016.12.048.
[32] S. Kamble, A. Gunasekaran, and N. C. Dhone, “Industry 4.0 and lean manufacturing practices for sustainable organisational performance in Indian manufacturing companies,” Int. J. Prod. Res., vol. 58, no. 5, pp. 1319–1337, Mar. 2020, doi: 10.1080/00207543.2019.1630772.
[33] J. E. B. Monton, J. T. Dellosa, and R. N. Mendoza, “IoT-Based Energy Monitoring System (IBEMS) for Optimizing Power Consumption in University Facilities,” 8th Int. Artif. Intell. Data Process. Symp. IDAP 2024, 2024, doi: 10.1109/IDAP64064.2024.10710764.
[34] W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu, “Edge Computing: Vision and Challenges,” IEEE Internet Things J., vol. 3, no. 5, pp. 637–646, Oct. 2016, doi: 10.1109/JIOT.2016.2579198.
[35] F. C. Andriulo, M. Fiore, M. Mongiello, E. Traversa, and V. Zizzo, “Edge Computing and Cloud Computing for Internet of Things: A Review,” Informatics 2024, Vol. 11, Page 71, vol. 11, no. 4, p. 71, Sep. 2024, doi: 10.3390/INFORMATICS11040071.
[36] I. Lee and K. Lee, “The Internet of Things (IoT): Applications, investments, and challenges for enterprises,” Bus. Horiz., vol. 58, no. 4, pp. 431–440, Jul. 2015, doi: 10.1016/J.BUSHOR.2015.03.008.
[37] X. Mu and M. F. Antwi-Afari, “The applications of Internet of Things (IoT) in industrial management: a science mapping review,” Int. J. Prod. Res., vol. 62, no. 5, pp. 1928–1952, 2024, doi: 10.1080/00207543.2023.2290229.
[38] A. W. Mahmoud, R. Abdulla, M. E. Rana, and H. K. Tripathy, “IoT Based Energy Management Solution for Smart Green Buildings,” ASSIC 2022 - Proc. Int. Conf. Adv. Smart, Secur. Intell. Comput., 2022, doi: 10.1109/ASSIC55218.2022.10088306.
[39] T. K. Das, A. K. Tripathy, and K. Srinivasan, “A Smart Trolley for Smart Shopping,” 2020 Int. Conf. Syst. Comput. Autom. Networking, ICSCAN 2020, Jul. 2020, doi: 10.1109/ICSCAN49426.2020.9262350.
[40] M. Shahroz, M. F. Mushtaq, M. Ahmad, S. Ullah, A. Mehmood, and G. S. Choi, “IoT-Based Smart Shopping Cart Using Radio Frequency Identification,” IEEE Access, vol. 8, pp. 68426–68438, 2020, doi: 10.1109/ACCESS.2020.2986681.
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