A MULTI-OBJECTIVE OPTIMIZATION FRAMEWORK FOR ENERGY AND LATENCY MINIMIZATION IN EDGE-ENABLED IOT NETWORKS
Keywords:
Internet of Things, Edge Computing, Multi-Objective Optimization, Energy Efficiency, Latency Minimization, Task Offloading, Resource Allocation, Smart Networks.Abstract
The rapid growth of Internet of Things (IoT) applications has led to an unprecedented increase in data generation,communication demands, and computational requirements. Traditional cloud-centric architectures often experience high communication delays and excessive energy consumption due to centralized
References
W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu, “Edge computing: Vision and challenges,” IEEE Internet of Things Journal, vol. 3, no. 5, pp. 637–646, 2016.
M. Satyanarayanan, “The emergence of edge computing,” Computer, vol. 50, no. 1, pp. 30–39, 2017.
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Published
2023-12-20
How to Cite
Dr. Archna G ,K VENUGOPAL RAO ,Dr. Sudhakar K ,Dr. Venkata Reddy Adama. (2023). A MULTI-OBJECTIVE OPTIMIZATION FRAMEWORK FOR ENERGY AND LATENCY MINIMIZATION IN EDGE-ENABLED IOT NETWORKS. Journal of Computational Analysis and Applications (JoCAAA), 31(4), 3025–3035. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5592
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