Towards a Data Fusion Framework for Heterogeneous Sensors in Semantic Web of Things

Towards a Data Fusion Framework for Heterogeneous Sensors in Semantic Web of Things

البحث العلمي المؤتمرات العلمية ابحاث المؤتمرات العلمية

اسم الباحث     :    Ghilan Mohammed Al-Gomai Ibrahim Ahmed Al-Baltah Fua’ad Hassan Abdulrazzak Department of Computer Networks Yemen Academy for Graduate Studies Sana’a Yemen ghilan20@gmail.com Department of Information Technology Sana’a University Sana’a Yemen albalta2020@gmail.com Department of Communication Technology and Networks Thamar University Thamar Yemen Fuaad.abdulrazzak@gmail.com
سنة النشر     :    2016
ملخص البحث     :   

Abstract

Over the last few years, the number of embedded sensors have been increased in smart devices (e.g., mobile phones or smart watches) supported by several vendors. Furthermore, a variety of data will be generated by heterogeneous sensors. Traditional multi-sensor data fusion can deal with the same type of data effectively. However, heterogeneous sources with different types of data and measurement units must be compatible to provide a comprehensive, timely and reliable feedback related to a specific phenomenon. To address this issue, we propose a framework to detect and solve semantic conflict of data measure unites that might arise between the heterogeneous sensors.

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