Journal of Applied Sciences ›› 2025, Vol. 43 ›› Issue (1): 183-194.doi: 10.3969/j.issn.0255-8297.2025.01.013

• Special Issue on Computer Application • Previous Articles    

An Exponential Moving Average-Based Mechanism for IoT Edge Device Selection

WU Tong, YUAN Peiyan   

  1. School of Computer and Information Engineering, Henan Normal University, Xinxiang 453000, Henan, China
  • Received:2024-07-17 Online:2025-01-30 Published:2025-01-24

Abstract: In small cell networks, the number of user equipment (UE) often exceeds the number of small base stations (SBS), with each SBS capable of serving multiple UE and each UE covered by multiple SBS. It is a significant challenge to decide the optimal SBS to serve each UE in small cell networks. Traditional coordinated multiple point (CoMP) operations, which allocate resources based on proportionate fairness, fail to consider the dynamic nature of the system, leading to suboptimal resource utilization. Therefore, this paper proposes a CoMP operation method based on exponential moving average (EMA). The proposed method prioritizes all UE and SBS at each time slot and increases the allocation weight for devices with high priority in the next time slot, enabling high-weight UE to receive services from more SBS and ultimately achieving dynamic resource adjustment. Experimental results demonstrate that the EMA-based CoMP operation significantly enhances system peak time and overall throughput efficiency while reducing the system’s dropout rate. Furthermore, it provides a better device selection mechanism for the internet of things edge system.

Key words: exponential moving average, coordinated multiple point, cellular network, dynamic adjustment

CLC Number: