• Shruti Sharma
• C.K.Nagpal

Data fusion is the process of amalgamating multiple data sets to produce accurate, and useful information than that provided by any individual data set. World Wide Web is the gigantic, unstructured and richest data source. With the technical advancements, there is a huge increase in the data set generated from the sensors. The amalgamation of data sets generated from multiple sensors can be used accurately to retrieve better information. Various data fusion models have been proposed over the years to fuse data from different sources. In this paper a survey of various data fusion models along with their architectures has been discussed that takes into account various important features like the objective for applying each model, by comparing their advantages and disadvantages.

"Data Fusion Reference Models: Basic Concept, Architecture and Comparison", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.241-245, June-2019, Available :http://www.jetir.org/papers/JETIR2002040.pdf

"Data Fusion Reference Models: Basic Concept, Architecture and Comparison", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp241-245, June-2019, Available at : http://www.jetir.org/papers/JETIR2002040.pdf