剩余能量相干均衡分簇能耗双阈值分配算法

Algorithm of Clustering Energy Double Threshold Allocation Based on Remaining Energy Coherent Equilibrium

在计算机多分簇任务执行中,由于初始能量有限,需要对网络分簇能耗进行优化分配,提高任务执行效率。提出基于剩余能量相干均衡的网络分簇能耗双阈值分配算法,算法考虑了节点当前能量、簇成员数量、簇首与节点间距离,设计了能耗指导的分布式网络能量采集和消耗均衡模型,采用收敛性度量值进行路由分配,实现能耗的双阈值分配,在系统的全局任务调度中心将所有任务进行融合,输入系统总调度器,设计剩余能量相干均衡算法,构建能耗分配的双阈值模型,实现网络分簇能耗双阈值分配。实验结果表明,算法能够降低任务调度关键路径延时,提高low-Vt单元使用率,降低相干功耗,形成最优化能耗管理输出,使得系统更加稳定。

In computer cluster during task execution, since the initial energy is limited, it needs for optimal allocation of net？work clustering energy consumption, and improve the efficiency of executing task. An improved network clustering energydouble threshold allocation algorithm is proposed based on remaining energy coherent equilibrium, it takes into account thedistance, the current node energy, the number of cluster members, the cluster head nodes energy consumption and designguidance, the equilibrium model of distributed network and the consumption of energy acquisition is constructed. The con？vergence degree value is used for routing distribution, and dual threshold distribution of energy consumption is designed. Inthe global task scheduling center, the system integrates all the tasks, it is input in the general scheduler of system, design ofresidual energy of coherent equalization algorithm is obtained, the double threshold energy distribution model is obtained,network clustering energy double threshold distribution is achieved. The experimental results show that the algorithm canreduce the critical path and the task scheduling delay, improve the utilization ratio of low-Vt unit, reduce the formation ofcoherent power, optimize the energy management output, it can make the system more stable.