Reducing Contention in Wireless Networks: A Differential Evolution-Based Optimization Model
Keywords:
Throughput maximization, Quality of Service (QoS), channel assignment, contention reduction, idle slot time, wireless communication networks, resource allocationAbstract
Efficient channel assignment in wireless communication networks is crucial for maximizing throughput and enhancing Quality of Service (QoS). However, contention during idle slot time often degrades network performance by increasing delays and reducing resource utilization. This study presents a mathematical optimization framework for channel assignment that reduces contention during idle slot time, ensuring improved network efficiency. The proposed model formulates an objective function that maximizes total throughput while incorporating constraints on channel capacity, interference mitigation, and minimum required data rates for each
node.
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