An efficient software-defined WiFi-based multi-objective access point load balancing

Velocity-Aware Adaptive Handover Control for Mobility Management in 5G Ultra-Dense Networks

The deployment of Ultra-Dense Networks (UDNs) in 5G systems is to meet the growing demand for high data rates and massive connectivity. However, the dense deployment of small cells increases handover frequency, leading to challenges such as handover failures (HOF), unnecessary handovers, and the ping-pong effect, leadi...

A Systematic Review and QoE-Driven Scheduler for Next-Generation WLANs

State-Aware Adaptive Beam Resource Management for Spectrum-Reuse LEO Satellite-Enabled IoT Networks

Low Earth orbit (LEO) satellite networks provide wide-area access for remote Internet of Things (IoT) services, yet massive terminals, dynamic beam coverage, and strong interference coupling caused by spectrum reuse pose severe resource management challenges. Most existing approaches rely on historical traffic data or...

An adaptive dual-threshold chunking framework for performance optimization in fog–cloud systems

Although a slight decrease in delivery ratio and throughput is observed compared to IDPC, the framework improves load balancing and responsiveness, offering a scalable and efficient solution for real-time IoT and fog-based distributed computing environments.

QoS-Aware VoIP Support in WMNs via PSO-Based Multi-Level Node Monitoring

This paper presents a Particle Swarm Optimization (PSO)-driven node monitoring and traffic scheduling framework for QoS-aware VoIP in WMNs that jointly maximizes packet delivery ratio and residual energy while minimizing delay, packet loss and hop count.

Reliability and Traffic Aware Resource Allocation for UAV-Assisted Vehicular O-RAN

The rapid advancements of next-generation vehicular networks require intelligent, low-latency, and efficient resource management to support heterogeneous services. In this work, we propose a Traffic-aware Dynamic Resource Allocation (TADRA) architecture for UAV-assisted vehicular O-RAN to address the challenges of dyna...