节点文献
基于信任和权重的无线传感器网络数据融合模型
Trust and Weight Based Data Fusion Model in Wireless Sensor Networks
【摘要】 在无线传感器网络中,数据融合的可靠性是一个非常重要的问题并且受到了广泛的关注。为此,提出一种基于信任和权重的无线传感器网络数据融合模型(TWDFM)。在该模型中,传感器节点通过构建信任表选举可靠簇头,簇头根据权重检测异常节点并融合可信数据。仿真实验表明,该模型可以有效提高数据融合的安全性和准确性。
【Abstract】 In wireless sensor networks,the reliability of data fusion is a very important issue.It has been widely concerned.Thus,a trust and weight based data fusion model(TWDFM)was proposed in this paper.In this model,sensor nodes elect reliable cluster head by building trust tables,and cluster head detects abnormal nodes according to the weights and fuses the credible data.The results of simulation show that this model can effectively improve the safety and accuracy of data fusion.
【基金】 江苏省产学研联合创新资金项目(SBY201320423)资助
- 【文献出处】 计算机科学 ,Computer Science , 编辑部邮箱 ,2017年05期
- 【分类号】TN929.5;TP212.9
- 【被引频次】11
- 【下载频次】219