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作 者:姚孝生 YAO Xiaosheng(Hefei University of Economics,Hefei 230011,China)
机构地区:[1]合肥经济学院,合肥230011
出 处:《重庆科技学院学报(自然科学版)》2024年第1期59-63,共5页Journal of Chongqing University of Science and Technology:Natural Sciences Edition
摘 要:针对现有无线网络链路规划中存在的资源利用率低、节点能量消耗过快等问题,提出了一种基于节点位置学习分布模型的无线网络链路规划算法。首先,选择最佳目标节点并形成合理的网络节点拓扑结构;然后,通过节点之间的通信感知来精确识别当前节点位置;最后,引入优化的遗传算法来提升无线网络的数据处理能力和迭代寻优能力,并结合学习结果获得最优网络链路规划结果。实验结果表明,该算法能够提升节点缓存利用率和网络带宽利用率,减少无线网络的能量消耗,从而延长存活节点寿命和网络生命周期。A wireless network link planning algorithm based on node location learning distribution model is proposed to address the problems of low resource utilization and fast node energy consumption in existing wireless network link planning.Firstly,select the optimal target node and form a reasonable network node topology structure;Then,accurately identify the current node location through communication perception between nodes;Finally,introduce an optimized genetic algorithm to enhance the data processing and iterative optimization capabilities of wireless networks,and obtain the optimal network link planning results by combining the learning results.The experimental results show that the algorithm can improve node cache utilization and network bandwidth utilization,and save energy consumption of wireless networks through communication link optimization,thereby prolonging the lifespan of surviving nodes and the entire network lifecycle.
关 键 词:节点位置学习 无线网络 适应度函数 网络寿命 网络带宽
分 类 号:TN011[电子电信—物理电子学]
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