Wireless sensor network （WSN） Low altitude interference Comm

  本文关键词：无线传感网络低空干扰下的通信优化模型仿真，由笔耕文化传播整理发布。

无线传感网络低空干扰下的通信优化模型仿真

Simulation of Communication Optimization Model of Wireless Sensor Network under Low Altitude Interference

[1]

WANG Fei （ Wuhai College, Inner Mongolia University of Technology, Wuhai Inner Mongolia 016000, China）

内蒙古工业大学乌海学院,内蒙古乌海016000

文章摘要：准确分析无线传感网络低空干扰程度与通信能力的关系,可以进一步保证网络的安全与稳定,并对通信过程进行优化。无线传感网络在低空干扰下,干扰程度呈现关联无序变化,导致网络通信能力的变化也呈现极强的非线性。传统的关联建模方法对无线传感网络低空干扰下的通信优化建模时,模型受到这种随机变化的冲击,很难正确反映无线传感网络的通信优化效果。提出一种基于数据融合算法的无线传感网络低空干扰下的通信优化模型。模型考虑无线传感网络低空干扰因素的非自由空间描述无线传感网络,获取相应环境下无线传感网络低空干扰程度参数值,通过节点数据适应度运算方法,针对不同的低空干扰程度参数,塑造网络通信所需的适应度函数,修正低空干扰产生的误差,实现优化建模。仿真结果说明,通信优化模型在网络能量消耗、网络延时率和误码率等三个方面的通信优化建模性能都优于传统模型。

Abstr：Accurate analysis of the relationship between the degrees of low altitude interference and communication capability of wireless sensor network ensures the security and stability of network, and optimizes the communication process. When wireless sensor network is interfered at low altitude, the degree of interference presents associated disorder change, resulting in a strong nonlinearity in network communication capability changes. In the paper, a communication optimization model of wireless sensor network under low altitude interference based on data fusion algorithm was proposed. In the model, the non-free-space of wireless sensor network under low altitude interference factor was considered to describe wireless sensor network and obtain the parameter value of the degree of low altitude interference with wireless sensor network under corresponding environment. For the different parameters of the degree of low altitude interference, the calculation method of node data fitness was applied to create fitness function required by network communication, correct the error generated at low altitude and achieve optimized modeling. The simulation results show that the performance of communication optimization modeling of communication optimization model is superior to the traditional model with respect to network energy consumption, network delay rate and error rate.

文章关键词：

Keyword：:Wireless sensor network （WSN） Low altitude interference Communication capability Optimization Model

作者信息：会员可见

  本文关键词：无线传感网络低空干扰下的通信优化模型仿真，，由笔耕文化传播整理发布。