An Adaptive Symmetrical Load Balancing Scheme for Next Generation Wireless Networks

In dense Wi-Fi networks, achieving load balancing is critical to optimize network utilization and provide equitable consumption among the users. Traditional networks have issues in attaining effective balancing. Software-Defined Networking (SDN) has presented a viable solution by isolating data plane control plane, enabling more agile cost-effective networks. this paper we put forward an Adaptive Symmetrical Load Balancing (ASLB) scheme ensure fairness of symmetry Software Defined Networks (SD-Wi-Fi), while also optimizing flows transition process using Analytical Hierarchal Process (AHP). User activity monitored access points (APs), which operate under OpenFlow standards. Three essential features, packet volume, category delay hindrance, are used for flow assignment various controllers. The controllers arranged two tiers, universal regional controller (UC) handles workload statistics (RC) form clusters. Extensive simulations OMNeT++ simulator performed. performance parameters taken into consideration throughput, delay, loss rate, count distribution. Our findings demonstrate that ASLB technique effectively optimizes ensures end proposed outperforms Mean Probe Delay (MPD), Channel Measurement-based Access Selection (CMAS), Received Signal Strength Indicator-based (RSSI) Distributed Antenna (DASA), being 40% higher throughput 25% lower delay.