Title :
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
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);
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
DOI :
10.1109/ASEEZone1.2014.6820642
