Enhancing Paging Efficiency: An Adaptive Clustering and Routing Technique in 5G Wireless Network

Effective resource management is essentially done in a 5G wireless network to guarantee performance. One crucial feature is the paging function, which enables mobile users to receive incoming calls and messages from the network provider. Traditional paging techniques often face significant inefficiencies, especially regarding energy consumption and latency. These inefficiencies harm network performance and increase operating expenses. This study proposed a Nobel adaptive clustering and routing technique for phasing monitoring in 5G wireless networks to address these challenges. The primary goal of this research is to develop an innovative approach by reducing energy consumption during the continuous paging process while maintaining low latency and high reliability. The proposed technique leverages fuzzy logic to adaptively manage routing and clustering decisions based on dynamic network conditions. It employs a two-phase strategy to achieve this objective while enhancing latency and energy efficiency. The result demonstrate that fuzzy logic-based clustering and routing, an energy consumption total of 30J is decreased to 21.3J, which is a significant improvement of 29% in energy efficiency. This approach is supported by the growing reliance on mobile communications, which improved latency and energy usage.