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Load Balancing Solution for Heterogeneous Wireless Networks based on the Knapsack Problem

机译:基于背包问题的异构无线网络负载平衡解决方案

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This paper proposes a practical approach to load balancing in heterogeneous wireless networks, which is based on the adaptation of the multiple knapsack problem to this specific scenario. Several algorithms capable of solving the knapsack problem are considered, namely a brute force, a dynamic programming and a greedy approach. The algorithms are evaluated by computer simulations in terms of the capability of finding the optimal solution and of computational complexity. The best algorithm identified, capable to generate near to optimal solutions while keeping low the computational complexity, is integrated into a load balancing mechanism intended to be used in real communication networks. The test scenario and the results obtained by practical experiments are presented and analyzed.
机译:本文提出了一种在异构无线网络中加载平衡的实用方法,这是基于对该特定场景的多个背包问题的调整。能够考虑一种能够解决背包问题的几种算法,即蛮力,动态编程和贪婪的方法。在找到最佳解决方案和计算复杂性的能力方面,通过计算机模拟评估算法。所识别的最佳算法,能够在保持低计算复杂度的同时产生近的最佳解决方案,集成到旨在以实际通信网络中使用的负载平衡机制。提出和分析了通过实际实验获得的测试场景和结果。

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