摘要
为了解决目前物联网数据传输存在传输效率低下的问题,采用蚁群优化算法构建一个物联网数据传输模型。利用蚁群算法进行计算机资源的智能调度,并将调度结果与ACO算法结合,寻找数据传输最优路径,由此构建得到物联网数据传输模型,达到提升高效传输物联网数据的效果。实验证明,研究模型带宽利用率为90.6%,远高于大猩猩部队优化、混合粒子群、混沌粒子群优化模型,同时研究模型的每秒数据传输量为163Kb,相较于其他三种模型具有优越的稳定性,能够有效处理物联网碎片化信息,并提高数据传输效率。该研究有助于未来精准管理资源,保障系统的稳定运行,满足物联网领域的需求。
In order to solve the problem of low transmission efficiency in current IoT data transmission,this paper uses ant colony optimization algorithm to construct an IoT data transmission model.This study first utilizes ant colony algorithm for intelligent scheduling of computer resources,and combines the scheduling results with ACO algorithm to find the optimal path for data transmission,thereby constructing an IoT data transmission model to improve the efficiency of IoT data transmission.Experimental results have shown that the bandwidth utilization rate of the research model is 90.6%,which is much higher than the gorilla troop optimization,hybrid particle swarm optimization,and chaos particle swarm optimization models.At the same time,the data transmission rate of the research model is 163Kb per second,which has superior stability compared to the other three models.The above results indicate that the improved IoT data transmission model can effectively handle fragmented IoT information and improve data transmission efficiency.This research will contribute to the precise management of resources in the future,ensure the stable operation of the system,and meet the needs of the Internet of Things field.
作者
杨磊
景然
Yang Lei;Jing Ran(Library&Information Center,Anhui University of Finance&Economics,Bengbu,Anhui 233030,China;School of Electronic and Information Engineering,Anhui Jianzhu University,Hefei,Anhui 230601,China)
出处
《黑龙江工业学院学报(综合版)》
2025年第10期131-136,共6页
Journal of Heilongjiang University of Technology(Comprehensive Edition)
基金
2021年安徽省高等学校自然科学研究项目“短文本用户生成内容分类算法及其应用研究”(项目编号:KJ2021A0476)。
关键词
资源调度
ACO
物联网
数据传输
带宽
resources scheduling
ACO
Internet of Things
data transmission
bandwidth
