DATA MANAGEMENT FRAMEWORKS IN INTERNET OF THINGS (IOT): A COMPREHENSIVE ANALYSIS OF COLLECTION, STORAGE, AND PROCESSING MECHANISMS

Authors

  • Gokul Balaguruswamy Naidu Illinois Institute of Technology, Chicago, USA. Author

Keywords:

IoT Data Management, Edge-Cloud Hybrid Architecture, Real-time Stream Processing, Heterogeneous Sensor Integration, Resource-Aware Computing

Abstract

This comprehensive article examines the intricate dynamics of data management within Internet of Things (IoT) ecosystems, focusing on the critical aspects of data collection, storage, processing, and emerging challenges. The article analyzes the evolution of IoT architectures from traditional centralized systems to modern hybrid frameworks that leverage both edge and cloud computing capabilities. Through detailed examination of sensor networks, mobile device integration, and actuator-based systems, the study reveals complex interactions between data collection mechanisms and storage infrastructures. The investigation encompasses advanced processing methodologies, including real-time stream processing and machine learning applications, while addressing crucial aspects of security, privacy, and resource optimization. The analysis identifies significant challenges in integration complexity, latency management, and resource constraints, while highlighting promising solutions through emerging technologies and architectural approaches. Key findings demonstrate the importance of balancing distributed processing capabilities with centralized management systems, emphasizing the need for standardized protocols and improved interoperability. The article concludes by outlining future research directions in autonomous system management, advanced analytics integration, and sustainable computing practices, providing valuable insights for researchers and practitioners in the field of IoT data management.

References

Wang, Dan et al. “From IoT to 5G I-IoT: The Next Generation IoT-Based Intelligent Algorithms and 5G Technologies.” IEEE Communications Magazine 56 (2018): 114-120. https://ieeexplore.ieee.org/document/8519960/

J. Lin, W. Yu, N. Zhang, X. Yang, H. Zhang and W. Zhao, "A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications," IEEE Internet of Things Journal, vol. 4, no. 5, pp. 1125-1142, Oct. 2017. https://ieeexplore.ieee.org/document/7879243

D. Niyato, X. Lu, P. Wang, D. I. Kim and Z. Han, "Economics of Internet of Things: An Information Market Approach," IEEE Wireless Communications, vol. 23, no. 4, pp. 136-145, August 2016. https://ieeexplore.ieee.org/abstract/document/7553037

C. Perera, A. Zaslavsky, P. Christen and D. Georgakopoulos, "Context Aware Computing for The Internet of Things: A Survey," IEEE Communications Surveys & Tutorials, vol. 16, no. 1, pp. 414-454, First Quarter 2014. https://ieeexplore.ieee.org/document/6512846

F. Bonomi, R. Milito, J. Zhu, and S. Addepalli, "Fog computing and its role in the internet of things," Proceedings of the MCC Workshop on Mobile Cloud Computing, pp. 13-16, 2012. https://dl.acm.org/doi/10.1145/2342509.2342513

M. Satyanarayanan, P. Simoens, Y. Xiao, P. Pillai, Z. Chen, K. Ha, W. Hu, and B. Amos, "Edge Analytics in the Internet of Things," IEEE Pervasive Computing, vol. 14, no. 2, pp. 24-31, Apr.-June 2015. https://ieeexplore.ieee.org/document/7093020

A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, "Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications," IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2347-2376, Fourth Quarter 2015. https://ieeexplore.ieee.org/document/7123563

P. Sethi and S. R. Sarangi, "Internet of Things: Architectures, Protocols, and Applications," Journal of Electrical and Computer Engineering, vol. 2017, Article ID 9324035, 25 pages, 2017. https://doi.org/10.1155/2017/9324035

W. Z. Khan, M. H. Rehman, H. M. Zangoti, M. K. Afzal, N. Armi, and K. Salah, "Industrial internet of things: Recent advances, enabling technologies and open challenges," Computers & Electrical Engineering, vol. 81, 106522, 2020. https://www.sciencedirect.com/science/article/abs/pii/S0045790618329550

Downloads

Published

2024-11-26

How to Cite

Gokul Balaguruswamy Naidu. (2024). DATA MANAGEMENT FRAMEWORKS IN INTERNET OF THINGS (IOT): A COMPREHENSIVE ANALYSIS OF COLLECTION, STORAGE, AND PROCESSING MECHANISMS. INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING AND TECHNOLOGY (IJCET), 15(6), 663-671. https://mylib.in/index.php/IJCET/article/view/IJCET_15_06_055