期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2016
卷号：5
期号：4
页码：628-637
出版社：IJCSN publisher
摘要：As Internet of things and allied applications arespreading their facets at faster rate, use of sensors isincreasing rapidly. Every sensor produce big amount of datawhich needs processing, reliable delivery. There are manyuse cases where information is to be sensed from multiplesensory resources and fused together. An objective ofinformation fusion from multiple sources is to interpretsingle parameter for effective decision making. In the sequel,this paper presents an overview of information fusion and itsmathematical model. Next part of the paper presentsmotivation and challenges in information fusion for differentuses of Internet of Things. Comprehensive literature surveyand evaluation of the literature survey is also presented inorder to compare existing potential works with respect toperformance parameters like reliability, scalability,computational time etc. The proposed data science approachusing cognitive computing is also presented and discussed indetail. Experimental results of information fusion for onesensor and three sensors are also presented which producessignificant contribution towards information fusion. Resultsshow that there is marginal difference in the access time tosense information from one sensor and multiple sensors.Finally, paper also presents challenges and future outlook.
