摘要
常规的无线通信网络容量感知路由发现过程一般是单结构形式,感知范围受限制,导致平均吞吐量不断下降,为此文中对基于改进蚁群算法的无线通信网络容量感知路由优化方法进行了设计与研究。根据当前的路由优化需求,先进行有效的容量预测,采用交叉处理的方式,打破感知范围的限制,设置路由交叉发现过程,构建改进蚁群测算通信网络容量感知路由优化模型,采用变异调整的方式来实现路由优化处理。最终的测试结果表明,针对导入的5组测试指令,分别调整数据流为10、12、15及20,最终测试计算出的平均吞吐量均在280 Kb·s-1以上,且随着数据流对数的增加不断提高,该无线通信网络容量感知路由处理效果显著提升,达到了预期的优化结果。
The conventional wireless communication network capacity aware routing discovery process is generally in a single structure form,with limited perception range,resulting in a continuous decrease in average throughput.Therefore,this paper designs and studies an improved ant colony algorithm based wireless communication network capacity aware routing optimization method.Based on the current routing optimization requirements,effective capacity prediction is carried out first,and cross processing is adopted to break the limitations of perception range.The routing cross discovery process is set up,and an improved ant colony calculation communication network capacity perception routing optimization model is constructed.The mutation adjustment method is used to achieve routing optimization processing.The final test results show that for the 5 imported test instructions,the data streams were adjusted to 10,12,15,and 20,respectively.The average throughput calculated in the final test was all above 280 Kb·s-1,and as the number of data streams increased,the wireless communication network̓s capacity sensing routing processing effect significantly improved,achieving the expected optimization results.
作者
高开放
张振
GAO Kaifang;ZHANG Zhen(School of Information Engineering Zhengzhou Technology and Business University,Zhengzhou 450000,China)
出处
《移动信息》
2024年第7期36-39,共4页
MOBILE INFORMATION
关键词
改进蚁群算法
无线通信
通信网络
容量感知
路由优化
优化方法
Improving ant colony algorithm
Wireless communication
Communication network
Capacity perception
Routing optimization
Optimization method