The Integration of Edge Computing into IoT Application Using AdvantEDGE Platform, Case Study: Mobility

As the number of the Internet of things (IoT) devices connected to the internet increases, the amount of data explodes. This leads to a higher demand for internet speed during data transfer and more requirements for computing power and storage in central servers. To address these issues and enable real-time data processing while reducing network bandwidth utilization, edge computing has become a promising solution. This article focuses on the development of the IoT application on the edge computing platform in case of the mobility of the User Equipment (UE) to solve problems like latency and network bandwidth occupation for IoT applications while moving between two zones. The methodology involves simulating a network model to evaluate performance metrics such as latency and bandwidth under mobility conditions. Results demonstrate that latency is reduced to approximately 30-50 ms during UE mobility, highlighting the efficacy of Multi-access Edge Computing (MEC) in IoT systems. These findings suggest that edge computing can significantly enhance the performance of time-sensitive IoT applications.