Performance Optimization of Fog Nodes for Smart Cities

International Journal of Emerging Research in Science, Engineering, and Management
Vol. 2, Issue 4, pp. 57-63, April 2026.

https://doi.org/10.58482/ijersem.v2i4.8

This work is licensed under a Creative Commons Attribution 4.0 International License.

Performance Optimization of Fog Nodes for Smart Cities

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G. Prasad Babu

Gangarapu Vishnu Priya

C Sony

R Ponselvan

R Prudhvi Raj

1Associate Professor, Department of CSE, Siddharth Institute of Engineering & Technology, Puttur, AP, India.

2-5UG Scholar, Department of CSE, Siddharth Institute of Engineering & Technology, Puttur, AP, India.

Abstract: Both the number of connected devices and the amount of data produced by IoT applications have increased exponentially as a result of the quick development of smart cities. Due to latency, bandwidth constraints, and network congestion, traditional cloud computing architectures struggle to handle real-time data. In order to provide low-latency, effective, and dependable data processing, this method focuses on performance improvement of fog nodes, which act as intermediary computer layers between IoT devices and the cloud. To maximize computing, storage, and network utilization at the fog layer, the suggested method makes use of load balancing, task scheduling, and resource allocation techniques. Metrics including response time, throughput, energy usage, and network latency are used to assess simulation and experiment results. This system seeks to increase the scalability and efficiency of smart city applications by boosting fog node performance, allowing real-time decision-making for public safety, environmental monitoring, and traffic control.

Keywords: Fog Computing, Smart Cities, Internet of Things (IoT), Load Balancing, Resource Allocation.

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This article is part of Volume 2, Issue 4 (April 2026)