Authors :

Rashid Al Qubaisi

Address :

Department of Cybersecurity, American University of Sharjah, UAE

Abstract :

Due to the increasing popularity of ice and snow activities, there is a high demand for efficient resource management, fast data processing, and personalized user experiences. As a result of user interactions, Internet of Things (IoT) sensors, and wearable devices, the ice and snow sports industry processes large amounts of data with minimal latency, exceptional reliability, and data security. Standard cloud computing architectures are inadequate for these jobs due to data centralization, bandwidth constraints, and network latency. In this study, we introduce MEC-FOA, a new framework. It combines the Firefly Optimization Algorithm (FOA) with Mobile Edge Computing (MEC). The primary goals are customer satisfaction and efficiency in ice and snow activities. To maximize offloading tasks and resource allocation in an MEC environment, this technique adjusts the FOA to consider variables such as energy consumption, process delay, and network connectivity. Wearable sensors and Internet of Things devices gather real-time data on the performance of athletes, ambient factors, and equipment status, while MEC nodes are positioned strategically near training facilities and competition locations. To distribute jobs efficiently, the FOA considers processing needs and the current loads on MEC nodes and modifies the brightness and attraction of fireflies, which stand in for tasks. The suggested method offers real-time insights, performance metrics, and immersive experiences to improve things for everyone. The suggested method enabled real-time decision-making improvements by decreasing processing overhead and delay. The user experience A novel framework, MEC-FOA, is presented in this paper. It integrates Mobile Edge Computing (MEC) with the Firefly Optimization Algorithm (FOA). Improving efficiency and satisfaction for ice and snow sports consumers is the target. was significantly improved by quicker processing and response times of data.

Keywords :

Mobile Edge computing, Firefly Optimization Algorithm, Ice and Snow Sports Industry.