物联网通信中目标跟踪节点均衡调度仿真

Simulation of Target Tracking Node Equilibrium Scheduling in Internet of Things Communication

对物联网通信中目标跟踪节点均衡调度方法的研究,可有效提升物联网通信的服务性能。采用当前方法对节点进行均衡调度时,无法计算出节点剩余能量和感知所需能耗之间的关系,存在节点调度精度低的问题。提出基于粒子群的物联网通信中目标跟踪节点均衡调度方法。融合于协调均衡调度的理论思想计算出目标节点感知强度和所有节点的感知度之和的比值,从目标跟踪的全部节点中选取初始最优子集,定义为初始感知组,融合于高斯粒子滤波方法和方差交叉方法对感知成员节点的局部状态信息,预测下一刻的目标位置,利用粒子群原理给出目标跟踪节点均衡调度的且标函数,并且对其进行优化,利用优化的结果完成对物联网通信中目标跟踪节点均衡调度。仿真结果表明,所提方法具有较高的目标跟踪精度,可以有效地完成对物联网通信中目标跟踪节点均衡调度。

In this paper,we proposed an equilibrium scheduling method of target tracking node in the internet of things communication based on the particle swarm. Firstly, the method worked out the specific value of the target node sensing intensity and the sum of all nodes perceptibility integrated with the coordinate equilibrium scheduling, and then selected initial optimal subset from all nodes of target tracking to define it as the initial perception group. Then, it predicted next moment objective position of local state information of perception member node integrated with the Gaussian particle filtering method and variance cross method. Moreover,it used the particle swarm theory to give out the equilibrium scheduling objective function of target tracking node and made optimization to it. Finally, it used the optimization results to complete the equilibrium scheduling of target tracking node in the internet of things communication. The simulation results show that the method has higher precision of objective tracking, which can complete the equilibrium scheduling of target tracking node in the internet of things communication effectively.