A fault fuzzy-ontology for large scale fault-tolerant wireless sensor networks

被引:6
作者
Benazzouz, Yazid [1 ]
Aktouf, Oum-El-keir [1 ]
Parissis, Ioannis [1 ]
机构
[1] Univ Grenoble Alpes, LCIS, F-26000 Valence, France
来源
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 18TH ANNUAL CONFERENCE, KES-2014 | 2014年 / 35卷
关键词
Wireless sensor networks; fault tolerance; fault diagnosis; Web Ontology Language; fuzzy logic; Internet of things;
D O I
10.1016/j.procs.2014.08.100
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Fault tolerance is a key research area for many of applications such as those based on sensor network technologies. In a large scale wireless sensor network (WSN), it becomes important to find new methods for fault-tolerance that can meet new application requirements like Internet of things, urbane intelligence and observation systems. The challenge is beyond the limit of a single wireless sensor network and concerns multiple widely interconnected sub networks. The domain of fault grows considerably because of this new configuration. In this context, the paper proposes a fault fuzzy-ontology (FFO) for large scale WSNs to be used within a Web service architecture for diagnosis and testing. (C) 2014 Published by Elsevier B.V.
引用
收藏
页码:203 / 212
页数:10
相关论文
共 27 条
[1]  
Abhinav A., 2008, THESIS U CINCINNATI
[2]  
Bell D., 2009, 2 INT WORKSH SEM SEN
[3]  
Benazzouz Y, 2014, 2014 IEEE WORLD FORUM ON INTERNET OF THINGS (WF-IOT), P373, DOI 10.1109/WF-IoT.2014.6803193
[4]   Fuzzy ontology representation using OWL 2 [J].
Bobillo, Fernando ;
Straccia, Umberto .
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2011, 52 (07) :1073-1094
[5]  
Boukerche A., 2004, P MSWIM 04
[6]  
Chen J., 2006, P WORKSH DEP ISS WIR
[7]  
Compton Michael., 2009, Proceedings of the 8th International Semantic Web Conference, 2nd International Workshop on Semantic Sensor Networks (SSN09), P17
[8]  
De Souza L.M.S., 2007, SAP RES
[9]  
Gupta G, 2003, IEEE WCNC, P1579
[10]  
Gwynne B., 2006, SHEFFIELD YORK WHITE, P1