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1707327 Vol 8 · Issue 9 Download Paper

AI-Driven Cloud Computing Framework for Smart IoT Networks with Predictive Analytics

Mohammad Serajuddin Ashish Kumar Pandey

Subject area: Science,Engineering and Technology  ·  Area of research: Internet of Things

Abstract

Advances in cyber-physical systems, cloud computing, and the?Internet of Things have also transformed smart city applications. To glean meaningful information from?huge datasets for the Internet of Things, artificial intelligence?particularly machine learning and deep learning?must be incorporated. Moreover, the?speedy adoption of blockchain technology boosts the ecosystem development in smart cities. This paper explores how the intersection of the blockchain and artificial intelligence can act?as a driver for sustainable IoT applications and proposes a cloud and IoT device-based information processing system. Data?is backed by distributed ledger technology while a layered architecture enables secure smart city apps. The study details existing barriers?to adoption along with future research directions relevant to sustainable IoT advancements.

Keywords

Blockchain, Artificial Intelligence, IoT, Cloud Computing, Sustainable Computing and Smart Cities.

References

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[9] I. Keshta et al., "Energy efficient indoor localisation for narrowband internet of things," CAAI Transactions on Intelligence Technology, 2023.

[10] M. J. Antony, B. P. Sankaralingam, S. Khan, A. Almjally, N. A. Almujally, and R. K. Mahendran, "Brain–Computer Interface: The HOL–SSA Decomposition and Two-Phase Classification on the HGD EEG Data," Diagnostics, vol. 13, no. 17, p. 2852, 2023.

[11] Eldosoky, Mahmoud A., Jian Ping Li, Amin Ul Haq, Fanyu Zeng, Mao Xu, Shakir Khan, and Inayat Khan. "WallNet: Hierarchical Visual Attention-Based Model for Putty Bulge Terminal Points Detection." The Visual Computer (2024): 1-16.

[12] S. Khan, "Study Factors for Student Performance Applying Data Mining Regression Model Approach," International Journal of Computer Science Network Security, vol. 21, no. 2, pp. 188-192, 2021.

[13] S. Khan and M. Alshara, "Development of Arabic evaluations in information retrieval," International Journal of Advanced Applied Sciences, vol. 6, no. 12, pp. 92-98, 2019.

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[29] Sharma, Chirag, et al. "Lightweight Security for IoT." Journal of Intelligent & Fuzzy Systems Preprint (2023): 1-17.

[30] Akram, Abeeda, et al. "On Layout Optimization of Wireless Sensor Network Using Meta-Heuristic Approach." Comput. Syst. Sci. Eng. 46.3 (2023): 3685-3701.

[31] Shakir, Khan, and Alotaibi Reemiah Muneer. "A novel thresholding for prediction analytics with machine learning techniques." International Journal of Computer Science & Network Security 23.1 (2023): 33-40.

[32] Tayyab, Moeen, et al. "Recognition of Visual Arabic Scripting News Ticker From Broadcast Stream." IEEE Access 10 (2022): 59189-59204.

[33] Khan, Shakir. "Business Intelligence Aspect for Emotions and Sentiments Analysis." 2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT). IEEE, 2022.

[34] AlSuwaidan, Lulwah, et al. "Swarm Intelligence Algorithms for Optimal Scheduling for Cloud‐Based Fuzzy Systems." Mathematical Problems in Engineering 2022.1 (2022): 4255835.

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[36] Khan, Shakir, and Mohammed Ali Alshara. "Adopting Open Source Software for Integrated Library System and Digital Library Automation." International Journal of Computer Science and Network Security 20.9 (2020): 158-165.

[37] Khan, Shakir, and Amani Alfaifi. "Modeling of coronavirus behavior to predict it’s spread." International Journal of Advanced Computer Science and Applications 11.5 (2020): 394-399.

[38] Khan, Shakir. "Modern Internet of Things as a challenge for higher education." International Journal of Computer Science and Network Security 18.12 (2018): 34-41.

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[40] AlAjmi, M., and Shakir Khan. "Part of Ajax And Openajax In Cutting Edge Rich Application Advancement For E-Learning." INTED2015 Proceedings. IATED, 2015.

[41] Sattar, Kamran, et al. "Social networking in medical schools: Medical student’s viewpoint." Biomed Res 27.4 (2016): 1378-84.

[42] AlAjmi, Mohamed F., Shakir Khan, and Abdulkadir Alaydarous. "Data Protection Control and Learning Conducted Via Electronic Media IE Internet." International Journal of Advanced Computer Science and Applications 5.11 (2014).

[43] Khan, Shakir, et al. "Keeping Data on Clouds: Cloud Computing Significance." International Journal of Engineering & Science Research 3.2 (2013): 2321-2327.

[44] AlAjmi, Mohammed, and Shakir Khan. "Data Mining–Based, Service Oriented Architecture (SOA) In E-Learning." Iceri2012 Proceedings. IATED, 2012.

[45] AlAjmi, M., and Shakir Khan. "The Utility of New Technologies in Enhancing Learning Vigilance in Educationally Poor Populations." EDULEARN12 Proceedings. IATED, 2012.

[46] AlAjmi, Mohamed F., and Shakir Khan. "Effective Use of Web 2.0 Tools Complex Pharmatical Skills Teaching And Learning." ICERI2011, 3rd International Conference on Education and New Learning Technologies, Spain. 2011.

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[48] Khan, Shakir, Mohammed AlAjmi, and Arun Sharma. "Safety Measures Investigation in Moodle LMS." Special Issue of International Journal of Computer Applications (2012).

[49] Khan, Shakir, and Arun Sharma. "Moodle Based LMS and Open Source Software (OSS) Efficiency in E-Learning." International Journal of Computer Science & Engineering Technology 3.4 (2012): 50-60.

[50] AlAjmi, Mohamed F., Arun Sharma Head, and Shakir Khan. "Growing cloud computing efficiency." International Journal of Advanced Computer Science and Applications (IJACSA) 3.5 (2012).

[51] AlAjmi, Mohamed F., Shakir Khan, and Arun Sharma. "Studying data mining and data warehousing with different e-learning system." International Journal of Advanced Computer Science and Applications 4.1 (2013).

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[59] Eldosoky, Mahmoud A., Jian Ping Li, Amin Ul Haq, Fanyu Zeng, Mao Xu, Shakir Khan, and Inayat Khan. "WallNet: Hierarchical Visual Attention-Based Model for Putty Bulge Terminal Points Detection." The Visual Computer (2024): 1-16.

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[62] Sreekumar, Das, S., Debata, B.R., Gopalan, R., Khan, S. (2024). Diabetes Prediction: A Comparison Between Generalized Linear Model and Machine Learning. In: Acharjya, D.P., Ma, K. (eds) Computational Intelligence in Healthcare Informatics. Studies in Computational Intelligence, vol 1132. Springer, Singapore. https://doi.org/10.1007/978-981-99-8853-2_4

[63] Khan, S., Serajuddin, M., Hasan, Z., Alvi, S.A.M., Ayub, R., Sharma, A. (2025). Natural Language Generation (NLG) with Reinforcement Learning (RL). In: Dev, A., Sharma, A., Agrawal, S.S., Rani, R. (eds) Artificial Intelligence and Speech Technology. AIST 2023. Communications in Computer and Information Science, vol 2268. Springer, Cham. https://doi.org/10.1007/978-3-031-75167-7_25

[64] I. Keshta et al., "Energy efficient indoor localisation for narrowband internet of things," CAAI Transactions on Intelligence Technology, 2023.

[65] Khan, S., Khari, M. & Azrour, M. IoT in retail and e-commerce. Electron Commer Res (2023). https://doi.org/10.1007/s10660-023-09785-3

[66] Halder, P., Hassan, M.M., Rahman, A.K.Z.R., Akter, L., Ahmed, A.S., Khan, S., Chatterjee, S., Raihan, M.: Prospects and setbacks for migrating towards 5G wireless access in developing Bangladesh: A comparative study. J. Eng. 2023, e12319 (2023). https://doi.org/10.1049/tje2.12319 [Crossref]

[67] S. Khan et al., "Manufacturing industry based on dynamic soft sensors in integrated with feature representation and classification using fuzzy logic and deep learning architecture," The International Journal of Advanced Manufacturing Technology, vol. 128, pp. 2885–2897, 2023.

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[69] M. J. Antony, B. P. Sankaralingam, S. Khan, A. Almjally, N. A. Almujally, and R. K. Mahendran, "Brain–Computer Interface: The HOL–SSA Decomposition and Two-Phase Classification on the HGD EEG Data," Diagnostics, vol. 13, no. 17, p. 2852, 2023.

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[73] M. S. Rao, S. Modi, R. Singh, K. L. Prasanna, S. Khan, and C. Ushapriya, "Integration of Cloud Computing, IoT, and Big Data for the Development of a Novel Smart Agriculture Model," in 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2023, pp. 2779-2783: IEEE.

[74] Akram, Abeeda, et al. "On Layout Optimization of Wireless Sensor Network Using Meta-Heuristic Approach." Comput. Syst. Sci. Eng. 46.3 (2023): 3685-3701.

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[76] S. Khan, G. K. Moorthy, T. Vijayaraj, L. H. Alzubaidi, A. Barno, and V. Vijayan, "Computational Intelligence for Solving Complex Optimization Problems," in E3S Web of Conferences, 2023, vol. 399, p. 04038: EDP Sciences.

[77] Shakir, Khan, and Alotaibi Reemiah Muneer. "A novel thresholding for prediction analytics with machine learning techniques." International Journal of Computer Science & Network Security 23.1 (2023): 33-40.

[78] Alfaifi, Asma Abdulsalam, and Shakir Gayour Khan. "Utilizing data from Twitter to explore the UX of “Madrasati” as a Saudi e-learning platform compelled by the pandemic." Arab Gulf Journal of Scientific Research 39.3 (2021).

[79] AlSuwaidan, Lulwah, et al. "Swarm Intelligence Algorithms for Optimal Scheduling for Cloud‐Based Fuzzy Systems." Mathematical Problems in Engineering 2022.1 (2022): 4255835.

[80] Sultan Ahmad, Sudan Jha, Abubaker E. M. Eljialy and Shakir Khan, “A Systematic Review on e-Wastage Frameworks” International Journal of Advanced Computer Science and Applications (IJACSA), 12(12), 2021.

[81] Khan, Shakir. "Visual Data Analysis and Simulation Prediction for COVID-19 in Saudi Arabia Using SEIR Prediction Model." International Journal of Online & Biomedical Engineering 17.8 (2021).

[82] Khan, Shakir, and Mohammed Altayar. "Industrial internet of things: Investigation of the applications, issues, and challenges." Int. J. Adv. Appl. Sci 8.1 (2021): 104-113.

[83] S. Khan, "Study Factors for Student Performance Applying Data Mining Regression Model Approach," International Journal of Computer Science Network Security, vol. 21, no. 2, pp. 188-192, 2021.

[84] Khan, Shakir, and Amani Alfaifi. "Modeling of coronavirus behavior to predict it’s spread." International Journal of Advanced Computer Science and Applications 11.5 (2020): 394-399.

[85] S. Khan and M. Alshara, "Development of Arabic evaluations in information retrieval," International Journal of Advanced Applied Sciences, vol. 6, no. 12, pp. 92-98, 2019.

[86] S. Khan and M. Alshara, "Fuzzy Data Mining Utilization to Classify Kids with Autism," International Journal of Computer Science Network Security, vol. 19, no. 2, pp. 147-154, 2019.

[87] S. Khan and M. F. AlAjmi, "A Review on Security Concerns in Cloud Computing and their Solutions," International Journal of Computer Science Network Security, vol. 19, no. 2, p. 10, 2019.

[88] Khan, Shakir. "Modern Internet of Things as a challenge for higher education." International Journal of Computer Science and Network Security 18.12 (2018): 34-41.

[89] S. Khan, A. S. Al-Mogren, and M. F. AlAjmi, "Using cloud computing to improve network operations and management," presented at the 5th National Symposium on Information Technology: Towards New Smart World (NSITNSW), 2015.

[90] AlAjmi, Mohamed F., and Shakir Khan. "Effective Use of Web 2.0 Tools Complex Pharmatical Skills Teaching And Learning." ICERI2011, 3rd International Conference on Education and New Learning Technologies, Spain. 2011.

[91] M. F. AlAjmi, S. Khan, and A. Sharma, "Collaborative learning outline for mobile environment," in 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014, pp. 429-434: IEEE.

[92] S. Khan, P. Sharma, K. R. Prasad, S. D, M. Serajuddin and R. Ayub, "The Implementation of Machine Learning in the Development of Sustainable Supply Chains," 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Gautam Buddha Nagar, India, 2023, pp. 292-296, doi: 10.1109/UPCON59197.2023.10434528.

[93] Tayyab, Moeen, et al. "Recognition of Visual Arabic Scripting News Ticker From Broadcast Stream." IEEE Access 10 (2022): 59189-59204.

[94] Khan, Shakir. "Business Intelligence Aspect for Emotions and Sentiments Analysis." 2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT). IEEE, 2022.

[95] Khan, Shakir, and Mohammed Ali Alshara. "Adopting Open Source Software for Integrated Library System and Digital Library Automation." International Journal of Computer Science and Network Security 20.9 (2020): 158-165.

[96] Khan, Shakir, and M. Alajmi. "The Role Of Open Source Technology In Development Of E-Learning Education." Edulearn17 Proceedings. IATED, 2017.

[97] AlAjmi, M., and Shakir Khan. "Part of Ajax And Openajax In Cutting Edge Rich Application Advancement For E-Learning." INTED2015 Proceedings. IATED, 2015.

[98] Sattar, Kamran, et al. "Social networking in medical schools: Medical student’s viewpoint." Biomed Res 27.4 (2016): 1378-84.

[99] AlAjmi, Mohamed F., Shakir Khan, and Abdulkadir Alaydarous. "Data Protection Control and Learning Conducted Via Electronic Media IE Internet." International Journal of Advanced Computer Science and Applications 5.11 (2014).

[100] Khan, Shakir, et al. "Keeping Data on Clouds: Cloud Computing Significance." International Journal of Engineering & Science Research 3.2 (2013): 2321-2327.

[101] AlAjmi, Mohammed, and Shakir Khan. "Data Mining–Based, Service Oriented Architecture (SOA) In E-Learning." Iceri2012 Proceedings. IATED, 2012.

[102] AlAjmi, M., and Shakir Khan. "The Utility of New Technologies in Enhancing Learning Vigilance in Educationally Poor Populations." EDULEARN12 Proceedings. IATED, 2012.

[103] Alajmi, M., and S. Khan. "EFFECTIVE USE OF WEB 2.0 TOOLS IN PHARMACY STUDENTS'CLINICAL SKILLS PRACTICE DURING FIELD TRAINING." iceri2011 proceedings. IATED, 2011.

[104] Khan, Shakir, Mohammed AlAjmi, and Arun Sharma. "Safety Measures Investigation in Moodle LMS." Special Issue of International Journal of Computer Applications (2012).

[105] Khan, Shakir, and Arun Sharma. "Moodle Based LMS and Open Source Software (OSS) Efficiency in E-Learning." International Journal of Computer Science & Engineering Technology 3.4 (2012): 50-60.

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[108] Khan, Shakir. "Data visualization to explore the countries dataset for pattern creation." International Journal of Online & Biomedical Engineering 17.13 (2021).

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How to cite this paper

Mohammad Serajuddin, Ashish Kumar Pandey "AI-Driven Cloud Computing Framework for Smart IoT Networks with Predictive Analytics" Iconic Research And Engineering Journals Volume 8 Issue 9 2025 Page 1517-1529
Mohammad Serajuddin, Ashish Kumar Pandey "AI-Driven Cloud Computing Framework for Smart IoT Networks with Predictive Analytics" Iconic Research And Engineering Journals, vol. 8, no. 9, Mar. 2025
Mohammad Serajuddin, Ashish Kumar Pandey (2025). AI-Driven Cloud Computing Framework for Smart IoT Networks with Predictive Analytics. Iconic Research And Engineering Journals, 8(9).
Mohammad Serajuddin, Ashish Kumar Pandey "AI-Driven Cloud Computing Framework for Smart IoT Networks with Predictive Analytics" Iconic Research And Engineering Journals, vol. 8, no. 9, Mar. 2025. 
@article{1707327,
      author = {Mohammad Serajuddin, Ashish Kumar Pandey},
      title = {AI-Driven Cloud Computing Framework for Smart IoT Networks with Predictive Analytics},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {9},
      pages = {1517-1529},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1707327.pdf},
      abstract = {Advances in cyber-physical systems, cloud computing, and the?Internet of Things have also transformed smart city applications. To glean meaningful information from?huge datasets for the Internet of Things, artificial intelligence?particularly machine learning and deep learning?must be incorporated. Moreover, the?speedy adoption of blockchain technology boosts the ecosystem development in smart cities. This paper explores how the intersection of the blockchain and artificial intelligence can act?as a driver for sustainable IoT applications and proposes a cloud and IoT device-based information processing system. Data?is backed by distributed ledger technology while a layered architecture enables secure smart city apps. The study details existing barriers?to adoption along with future research directions relevant to sustainable IoT advancements.},
      keywords = {Blockchain, Artificial Intelligence, IoT, Cloud Computing, Sustainable Computing and Smart Cities.},
      month = {March},
  }