摘要
为提高无线传感器网络的性能,提出一种基于能效和延时的无线传感器网络性能评估方法.在收集无线传感器网络数据样本基础上采用网络能效和网络延时作网络性能评估指标,并进行归化一化处理,并采用神经网络对数据进行学习,建立无线传感器综合性能评估模型,进行了仿真实验.结果表明:相对于其它评估算法,该方法综合考虑了多个影响无线传感器网络性能的因素,评估结果更加可靠、科学.
In order to improve the performance of wireless sensor network, this paper proposed a novel performance evaluation method based on energy efficiency and delay analysis in wireless sensor networks. Firstly, samples of wireless sensor network are collected, secondly, the network energy efficiency and network delay are used for the evaluation index of network performance, finally, neural network is used to establish evaluation model based on learning samples and the simulation experiments are carried out to test the performance. The results show that compared with other evaluation algorithm, the results of the proposed method are more reliable and scientific.
出处
《辽宁工程技术大学学报(自然科学版)》
CAS
北大核心
2015年第12期1429-1432,共4页
Journal of Liaoning Technical University (Natural Science)
基金
重庆市教委科技项目(KJ112204
KJ132202)