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无线网络基站的大量部署导致系统能耗过高。在分析了历史系统负载信息的基础上,提出一种基于人工蜂群算法的绿色无线网络节能动态优化部署。该算法采用人工蜂群算法在现有无线网络基站部署的基础上,根据各个时间段的预测流量信息,寻找适合特定时间点负载的最优开关状态,得到当前网络在特定时间点的预部署。与此同时,该算法允许无线网络根据流量变化局部动态调整工作状态,确保无线网络系统能够快速响应负载变化。模拟结果表明,本算法能够在保证系统通信容量的同时,取得较好节能效果.
Large deployments of wireless network base stations result in excessive system energy consumption. Based on the analysis of historical system load information, this paper proposes a dynamic optimization of green wireless network based on artificial bee colony algorithm. Based on the deployment of existing wireless network base stations, this algorithm uses the artificial bee colony algorithm to find the optimal switch state suitable for the load at a specific time point according to the predicted traffic information of each time period, and obtains the pre-deployment of the current network at a specific time point. At the same time, the algorithm allows the wireless network to dynamically adjust the working status locally according to the traffic changes, and ensure that the wireless network system can respond to the load changes rapidly. The simulation results show that this algorithm can achieve better energy-saving effect while ensuring the communication capacity of the system.