物联网通信资源负载均衡优化调度仿真研究

发布时间：2018-04-30 18:04

本文选题：物联网 + 通信资源　；参考：《计算机仿真》2017年06期

【摘要】：对物联网通信资源的负载均衡进行优化,能够有效提高物联网通信资源调度性能。对物联网通信资源负载均衡的调度,需要利用资源的负载不均衡度衡量一个虚拟机的信息素,完成对通信资源负载调度的优化。传统方法先对感知层的动态赋权值,对资源任务类型进行加权计算,但没有对虚拟机的信息素进行衡量,导致资源调度精度偏低。提出基于蚁群优化的物联网通信资源负载均衡调度优化方法。进行物联网通信资源服务请求队列排序,依据调度过程的各个阶段不断调整资源调度的优化目标,在感知层最合适的虚拟机上进行资源分配,建立物联网通信资源负载均衡调度多目标优化模型。对多目标优化模型进行求解,利用资源的负载不均衡度衡量一个虚拟机的信息素,由此完成物联网通信资源负载均衡调度优化。实验结果表明,所提方法能够获得更高的负载均衡度,且资源利用率较高。
[Abstract]:Optimizing the load balance of the communication resources in the Internet of things can effectively improve the scheduling performance of the communication resources in the Internet of things. To schedule the load balance of communication resources in the Internet of things, it is necessary to evaluate the pheromone of a virtual machine by using the load imbalance degree of the resources to optimize the load scheduling of the communication resources. The traditional method firstly weighted the resource task type on the perception layer, but did not measure the pheromone of the virtual machine, which resulted in the low precision of resource scheduling. An ant colony optimization based load balancing scheduling method for Internet of things (IoT) communication resources is proposed. According to each stage of the scheduling process, the optimization target of resource scheduling is constantly adjusted, and the resource allocation is carried out on the most suitable virtual machine in the perceptual layer. A multiobjective optimization model for load balancing scheduling of Internet of things (IoT) communication resources is established. The multi-objective optimization model is solved, and the pheromone of a virtual machine is measured by the load imbalance of the resource, and the load balancing scheduling of the communication resources in the Internet of things is completed. The experimental results show that the proposed method can achieve higher load balance and higher resource utilization.
【作者单位】：宁夏大学物理与电子电气工程学院;
【基金】：宁夏高等学校科学科学技术研究项目(NGY2015042)
【分类号】：TN929.5;TP391.44

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