Big Data Algorithm for Resource Potential Awareness Response Optimization on the Power User Side Based on IoT Edge Computing

[1] An, X. M., Fan, R. F., Hu, H., Zhang, N., Atapattu, S., & Tsiftsis, T. A. (2022). Joint task offloading and resource allocation for IoT edge computing with sequential task dependency. IEEE Internet of Things Journal, 9(17), 16546–16561. An X. M. Fan R. F. Hu H. Zhang N. Atapattu S. Tsiftsis T. A. ( 2022 ). Joint task offloading and resource allocation for IoT edge computing with sequential task dependency . IEEE Internet of Things Journal , 9 ( 17 ), 16546 - 16561 . Search in Google Scholar

[2] Anjinappa, G., & Prabhakar, D. B. (2024). A secure IoT and edge computing based EV selection model in V2G systems using ant colony optimization algorithm. International Journal of Pervasive Computing and Communications, 20(5), 579–592. Anjinappa G. Prabhakar D. B. ( 2024 ). A secure IoT and edge computing based EV selection model in V2G systems using ant colony optimization algorithm . International Journal of Pervasive Computing and Communications , 20 ( 5 ), 579 - 592 . Search in Google Scholar

[3] Arul, U., Gnanajeyaraman, R., Selvakumar, A., Ramesh, S., Manikandan, T., & Michael, G. (2023). Integration of IoT and edge cloud computing for smart microgrid energy management in VANET using machine learning. Computers & Electrical Engineering, 110. Arul U. Gnanajeyaraman R. Selvakumar A. Ramesh S. Manikandan T. Michael G. ( 2023 ). Integration of IoT and edge cloud computing for smart microgrid energy management in VANET using machine learning . Computers & Electrical Engineering , 110 . Search in Google Scholar

[4] Atan, B., Basaran, M., Calik, N., Basaran, S. T., Akkuzu, G., & Durak-Ata, L. (2023). AI-empowered fast task execution decision for delay-sensitive IoT applications in edge computing networks. IEEE Access, 11, 1324–1334. Atan B. Basaran M. Calik N. Basaran S. T. Akkuzu G. Durak-Ata L. ( 2023 ). AI-empowered fast task execution decision for delay-sensitive IoT applications in edge computing networks . IEEE Access , 11 , 1324 - 1334 . Search in Google Scholar

[5] Babar, M., Jan, M. A., He, X. J., Tariq, M. U., Mastorakis, S., & Alturki, R. (2023). An optimized IoT-enabled big data analytics architecture for edge-cloud computing. IEEE Internet of Things Journal, 10(5), 3995–4005. Babar M. Jan M. A. He X. J. Tariq M. U. Mastorakis S. Alturki R. ( 2023 ). An optimized IoT-enabled big data analytics architecture for edge-cloud computing . IEEE Internet of Things Journal , 10 ( 5 ), 3995 - 4005 . Search in Google Scholar

[6] Benelli, G., Todaro, G., Monopoli, M., Giuffrida, G., Donati, M., & Fanucci, L. (2024). GPU@SAT DevKit: Empowering edge computing development onboard satellites in the space-IoT era. Electronics, 13(19). Benelli G. Todaro G. Monopoli M. Giuffrida G. Donati M. Fanucci L. ( 2024 ). GPU@SAT DevKit: Empowering edge computing development onboard satellites in the space-IoT era . Electronics , 13 ( 19 ). Search in Google Scholar

[7] Bey, M., Kuila, P., Naik, B. B., & Ghosh, S. (2024). Quantum-inspired particle swarm optimization for efficient IoT service placement in edge computing systems. Expert Systems with Applications, 236. Bey M. Kuila P. Naik B. B. Ghosh S. ( 2024 ). Quantum-inspired particle swarm optimization for efficient IoT service placement in edge computing systems . Expert Systems with Applications , 236 . Search in Google Scholar

[8] Birhanie, H. M., & Adem, M. O. (2024). Optimized task offloading strategy in IoT edge computing network. Journal of King Saud University-Computer and Information Sciences, 36(2). Birhanie H. M. Adem M. O. ( 2024 ). Optimized task offloading strategy in IoT edge computing network . Journal of King Saud University-Computer and Information Sciences , 36 ( 2 ). Search in Google Scholar

[9] Boopathi, M., Gupta, S., Zabeeulla, A. N. M., Gupta, R., Vekriya, V., & Pandey, A. K. (2023). Optimization algorithms in security and privacy-preserving data disturbance for collaborative edge computing social IoT deep learning architectures. Soft Computing. Boopathi M. Gupta S. Zabeeulla A. N. M. Gupta R. Vekriya V. Pandey A. K. ( 2023 ). Optimization algorithms in security and privacy-preserving data disturbance for collaborative edge computing social IoT deep learning architectures . Soft Computing . Search in Google Scholar

[10] Bosse, S. (2024). A virtual machine platform providing machine learning as a programmable and distributed service for IoT and edge on-device computing: Architecture, transformation, and evaluation of integer discretization. Algorithms, 17(8). Bosse S. ( 2024 ). A virtual machine platform providing machine learning as a programmable and distributed service for IoT and edge on-device computing: Architecture, transformation, and evaluation of integer discretization . Algorithms , 17 ( 8 ). Search in Google Scholar

[11] Cai, J. Y., Zhang, H. J., Duo, Z., Wang, X., & Zhao, X. W. (2024). A multi-group-supporting policy hidden fine-grained data sharing scheme in 5G-enabled IoT with edge computing. IEEE Access, 12, 46362–46378. Cai J. Y. Zhang H. J. Duo Z. Wang X. Zhao X. W. ( 2024 ). A multi-group-supporting policy hidden fine-grained data sharing scheme in 5G-enabled IoT with edge computing . IEEE Access , 12 , 46362 - 46378 . Search in Google Scholar

[12] Chavhan, S., Gupta, D., Gochhayat, S. P., Chandana, B. N., Khanna, A., Shankar, K., & Rodrigues, J. (2022). Edge computing AI-IoT integrated energy-efficient intelligent transportation system for smart cities. ACM Transactions on Internet Technology, 22(4). Chavhan S. Gupta D. Gochhayat S. P. Chandana B. N. Khanna A. Shankar K. Rodrigues J. ( 2022 ). Edge computing AI-IoT integrated energy-efficient intelligent transportation system for smart cities . ACM Transactions on Internet Technology , 22 ( 4 ). Search in Google Scholar

[13] Chen, S. H., Wang, J. C., Lin, H. J., Lee, M. H., Liu, A. C., Wu, Y. L., Hsu, P. S., Yang, E. C., & Jiang, J. A. (2024). A machine learning-based multiclass classification model for bee colony anomaly identification using an IoT-based audio monitoring system with an edge computing framework. Expert Systems with Applications, 255. Chen S. H. Wang J. C. Lin H. J. Lee M. H. Liu A. C. Wu Y. L. Hsu P. S. Yang E. C. Jiang J. A. ( 2024 ). A machine learning-based multiclass classification model for bee colony anomaly identification using an IoT-based audio monitoring system with an edge computing framework . Expert Systems with Applications , 255 . Search in Google Scholar

[14] Chen, X., Li, M., Zhong, H., Ma, Y., & Hsu, C. H. (2022). DNNOff: Offloading DNN-based intelligent IoT applications in mobile edge computing. IEEE Transactions on Industrial Informatics, 18(4), 2820–2829. Chen X. Li M. Zhong H. Ma Y. Hsu C. H. ( 2022 ). DNNOff: Offloading DNN-based intelligent IoT applications in mobile edge computing . IEEE Transactions on Industrial Informatics , 18 ( 4 ), 2820 - 2829 . Search in Google Scholar

[15] Aliniya, Z., & Khasteh, S. H. (2024). Dynamic constrained multi-objective optimization based on adaptive combinatorial response mechanism. Applied Soft Computing, 155. Aliniya Z. Khasteh S. H. ( 2024 ). Dynamic constrained multi-objective optimization based on adaptive combinatorial response mechanism . Applied Soft Computing , 155 . Search in Google Scholar

[16] Ben Abdallah, M. A., Khemili, I., Aifaoui, N., & Laribi, M. A. (2023). Metaheuristics-based approach for multiple dynamic responses optimization of flexible mechanisms. Soft Computing, 27(16), 11767–11787. Ben Abdallah M. A. Khemili I. Aifaoui N. Laribi M. A. ( 2023 ). Metaheuristics-based approach for multiple dynamic responses optimization of flexible mechanisms . Soft Computing , 27 ( 16 ), 11767 - 11787 . Search in Google Scholar

[17] Chen, X. Y., Wang, J. J., Ren, X. L., & Ding, C. F. (2024). Bayesian modeling and optimization for split-plot experiments with multiple responses. Computers & Industrial Engineering, 197. Chen X. Y. Wang J. J. Ren X. L. Ding C. F. ( 2024 ). Bayesian modeling and optimization for split-plot experiments with multiple responses . Computers & Industrial Engineering , 197 . Search in Google Scholar

[18] Chen, Y., Qiu, Y. L., Tang, Z. Y., Long, S. L., Zhao, L. F., & Tang, Z. (2024). Exploring the synergy of blockchain, IoT, and edge computing in smart traffic management across urban landscapes. Journal of Grid Computing, 22(2). Chen Y. Qiu Y. L. Tang Z. Y. Long S. L. Zhao L. F. Tang Z. ( 2024 ). Exploring the synergy of blockchain, IoT, and edge computing in smart traffic management across urban landscapes . Journal of Grid Computing , 22 ( 2 ). Search in Google Scholar

[19] Chen, Y. S., Li, B., Li, W., Zeng, B. W., Yin, J. W., & Deng, S. G. (2024). Blockchain-based Nash bargaining for task scheduling in IoT edge computing environments. IEEE Internet of Things Journal, 11(8), 13851–13864. Chen Y. S. Li B. Li W. Zeng B. W. Yin J. W. Deng S. G. ( 2024 ). Blockchain-based Nash bargaining for task scheduling in IoT edge computing environments . IEEE Internet of Things Journal , 11 ( 8 ), 13851 - 13864 . Search in Google Scholar

[20] Chen, Y. S., Luo, X. S., Liang, P., Han, J. X., & Xu, Z. H. (2024). Priority-based DAG task offloading and secondary resource allocation in IoT edge computing environments. Computing, 106(10), 3229–3254. Chen Y. S. Luo X. S. Liang P. Han J. X. Xu Z. H. ( 2024 ). Priority-based DAG task offloading and secondary resource allocation in IoT edge computing environments . Computing , 106 ( 10 ), 3229 - 3254 . Search in Google Scholar

[21] Chen, Z. H., Goyal, S. B., & Rajawat, A. S. (2024). Smart contracts attribute-based access control model for security & privacy of IoT system using blockchain and edge computing. Journal of Supercomputing, 80(2), 1396–1425. Chen Z. H. Goyal S. B. Rajawat A. S. ( 2024 ). Smart contracts attribute-based access control model for security & privacy of IoT system using blockchain and edge computing . Journal of Supercomputing , 80 ( 2 ), 1396 - 1425 . Search in Google Scholar

[22] Cheng, Y., Du, J., Yang, Y. G., Ma, Z. B., Li, N., Zhao, J., & Wu, D. (2022). Designing collaborative edge computing for electricity heterogeneous data based on social IoT systems. International Journal of Distributed Systems and Technologies, 13(7). Cheng Y. Du J. Yang Y. G. Ma Z. B. Li N. Zhao J. Wu D. ( 2022 ). Designing collaborative edge computing for electricity heterogeneous data based on social IoT systems . International Journal of Distributed Systems and Technologies , 13 ( 7 ). Search in Google Scholar

[23] Debauche, O., Mahmoudi, S., & Guttadauria, A. (2022). A new edge computing architecture for IoT and multimedia data management. Information, 13(2). Debauche O. Mahmoudi S. Guttadauria A. ( 2022 ). A new edge computing architecture for IoT and multimedia data management . Information , 13 ( 2 ). Search in Google Scholar

[24] Durand, S., Khawam, K., Quadri, D., Lahoud, S., & Martin, S. (2024). Federated learning game in IoT edge computing. IEEE Access, 12, 93060–93074. Durand S. Khawam K. Quadri D. Lahoud S. Martin S. ( 2024 ). Federated learning game in IoT edge computing . IEEE Access , 12 , 93060 - 93074 . Search in Google Scholar

[25] Eang, C., Ros, S., Kang, S., Song, I., Tam, P., Math, S., & Kim, S. (2024). Offloading decision and resource allocation in mobile edge computing for cost and latency efficiencies in real-time IoT. Electronics, 13(7). Eang C. Ros S. Kang S. Song I. Tam P. Math S. Kim S. ( 2024 ). Offloading decision and resource allocation in mobile edge computing for cost and latency efficiencies in real-time IoT . Electronics , 13 ( 7 ). Search in Google Scholar

[26] Ababneh, J., & Khodier, M. (2022). Design and optimization of infinite impulse response full-band digital differentiator using evolutionary and swarm intelligence algorithms. Jordan Journal of Electrical Engineering, 8(2), 114–132. Ababneh J. Khodier M. ( 2022 ). Design and optimization of infinite impulse response full-band digital differentiator using evolutionary and swarm intelligence algorithms . Jordan Journal of Electrical Engineering , 8 ( 2 ), 114 - 132 . Search in Google Scholar

[27] Aliniya, Z., & Khasteh, S. H. (2023). A novel combinational response mechanism for dynamic multi-objective optimization. Expert Systems with Applications, 233. Aliniya Z. Khasteh S. H. ( 2023 ). A novel combinational response mechanism for dynamic multi-objective optimization . Expert Systems with Applications , 233 . Search in Google Scholar

[28] Cheng, H. Y., & Ai, Q. (2023). A cost optimization method based on Adam algorithm for integrated demand response. Electronics, 12(23). Cheng H. Y. Ai Q. ( 2023 ). A cost optimization method based on Adam algorithm for integrated demand response . Electronics , 12 ( 23 ). Search in Google Scholar

[29] Deng, J. X., Chen, X. Y., Wei, W. D., & Liang, J. W. (2023). Resource coordination scheduling optimisation of logistics information sharing platform considering decision response and competition. Computers & Industrial Engineering, 176. Deng J. X. Chen X. Y. Wei W. D. Liang J. W. ( 2023 ). Resource coordination scheduling optimisation of logistics information sharing platform considering decision response and competition . Computers & Industrial Engineering , 176 . Search in Google Scholar

[30] Dong, Y. C., Wang, C., Zhang, H. L., & Zhou, X. J. (2024). A novel multi-objective optimization framework for optimal integrated energy system planning with demand response under multiple uncertainties. Information Sciences, 663. Dong Y. C. Wang C. Zhang H. L. Zhou X. J. ( 2024 ). A novel multi-objective optimization framework for optimal integrated energy system planning with demand response under multiple uncertainties . Information Sciences , 663 . Search in Google Scholar