Data fusion models in WSNs: Comparison and analysis

Author

Almasri, Marwah M. ; Elleithy, Khaled M.

Author_Institution

Comput. Sci. & Eng. Dept., Univ. of Bridgeport, Bridgeport, CT, USA

fYear

2014

fDate

3-5 April 2014

Firstpage

1

Lastpage

6

Abstract

In WSNs, hundreds of sensors collect data from the environment but these sensors have limited energy. Therefore, energy consumption is a very challenging issue in the design of WSNs. Sometimes, sensors fail as they got affected by the pressure or temperature. Such failure can lead to misleading measurements which in turn are waste of energy. As a result, data fusion is needed to overcome such confusion where it assures data´s efficiency and eliminates data´s redundancy. This paper provides an analysis of the state-of-the-art data fusion models along with their architectures. It also presents a comparison between these models to highlight the main objectives of each. In addition, it analyzes the advantages and the limitation of these models.

Keywords

sensor fusion; wireless sensor networks; WSN; data efficiency; data fusion model; data redundancy; Data integration; Data models; Feature extraction; Object oriented modeling; Sensor fusion; Wireless sensor networks; Data Fusion; Data Fusion Models; Intelligence Cycle Model; JDL Model; OODA Model; Object-Oriented Model; Omnibus Model; Wireless Sensor Networks (WSNs);

fLanguage

English

Publisher

ieee

Conference_Titel

American Society for Engineering Education (ASEE Zone 1), 2014 Zone 1 Conference of the

Conference_Location

Bridgeport, CT

Print_ISBN

978-1-4799-5232-8

Type

conf

DOI

10.1109/ASEEZone1.2014.6820642

Filename

6820642