Fuzzy Semantic Web Architecture for Activity Detection in Wireless Multimedia Sensor Network Applications

DOI

10.2991/eusflat-19.2019.18How to use a DOI?

Keywords

Fuzzy logic Semantic Web Activity detection Wireless multimedia sensor networks

Abstract

This study aims to increase the reliability of activity detection by using fuzzy logic extended Semantic Web technologies to Wireless Multimedia Sensor Networks (WMSNs). The proposed approach consists of three layers: the sensor layer, the data layer, and the Semantic Web layer. The sensor layer comprises a WMSN comprising sensor nodes with multimedia and scalar sensors. The data layer retrieves and stores data from the sink of WMSN. At the top of the architecture, there is a semantic web layer that includes a semantic web application server, a fuzzy reasoning engine, and a semantic knowledge base. When a new entity is detected at the sensor layer, the associated data produced by the sensors and the sink are collected in the data layer and transmitted to the semantic web application server where the data is converted into subjects, predicates, and objects, according to the ontology conceived and recorded in RDF format. Then, the fuzzy reasoning engine is automatically activated and fuzzy rules are executed to determine if there is activity in the monitored area. Our implementation confirms that extended semantic Web technologies with fuzzy logic can have a significant impact on the detection of activities in WMS networks.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ali Nail Ozdin
AU  - Adnan Yazici
AU  - Murat Koyuncu
PY  - 2019/08
DA  - 2019/08
TI  - Fuzzy Semantic Web Architecture for Activity Detection in Wireless Multimedia Sensor Network Applications
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 112
EP  - 119
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.18
DO  - 10.2991/eusflat-19.2019.18
ID  - Ozdin2019/08
ER  -