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基于声誉模型KL距离的物联网数据融合的应用

Application in Data Fusion of Internet of Things Based on the KL Distance of Reputation Model
作者:Xuping Zhu 加工时间:2014-09-05 信息来源:科技报告(Other) 索取原文[5 页]
关键词:物联网;数据融合;信誉模型
摘 要:The Internet of Things is a bearer network based on the Internet,the traditional telecommunications network,wireless self-organizing networks etc,so that all can be individually addressable ordinary physical objects to achieve the interconnection network.The Internet of Things is evolved from the wireless sensor network,which has limited resource in energy,memory,calculation,bandwidth and etc,.In addition,many applications in the lnternet of Things are related to user privacy.In the process of data collection and transmission,the data may be forged,tampered,and a variety of other information security threats.In order to extend the network lifetime,to protect the authenticity and reliability of data fusion,this paper presents a reputation model of data fusion algorithm.The algorithm is verified by simulation,the experimental results show that the proposed algorithm is effective and the result of data aggregation is reliable.
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