Paper Info
Title
Detection and Resolving WSN Issues with the use of Data Mining & Intelligent Algorithms
Abstract
In this digital age, development in the Wireless Sensor Network (WSN) has offered many dimensions for the researchers to work on. Knowledge extraction, effective communication, security and energy limitation are the major issues in any network to secure important data and computer systems. Development in the data mining technologies, is also a gateway to discover the knowledge from the previously stored hidden data through which intelligent decisions can be made regarding any issue. In this paper, we have a detailed review on the different aspects of issues in WSN with different applications and desired approaches. Data mining in WSN is applied to discover important information to improve network performance. It includes the study on online Mining for Energy Efficiency, Outlier Detection Techniques for Wireless Sensor Networks, Data Mining Techniques to Intrusion Detection in Wireless Sensor Networks, Mobile Agent and Distributed Data Mining, Local Outlier Detection for Data Streams in Sensor Networks, Analyzing Data Mining Techniques for Wireless Sensor Network Protocols, Distributed Event Detection in Wireless Sensor Networks for Disaster Management, Detecting and Resolving major issues and Soft Computing Techniques in Wireless Sensor Network by using Data Mining and WSN for monitoring and event reporting in underground mine environments. This paper provides a unified view of state of the art data mining techniques and algorithms to resolve WSN issues since 2007 to the date.
Year
DOI
Venue
2018
10.1109/FIT.2018.00051
2018 International Conference on Frontiers of Information Technology (FIT)
Keywords
Field
DocType
WSN,Base station,Central agent
Data mining,Base station,Anomaly detection,Data stream mining,Computer science,Mobile agent,Computer network,Knowledge extraction,Intrusion detection system,Wireless sensor network,Network performance
Conference
ISSN
ISBN
Citations 
2334-3141
978-1-5386-9356-8
0
PageRank 
References 
Authors
0.34
5
4
Name
Order
Citations
PageRank
Mohsin Ashraf100.34
Geng Guohua25324.43
Xiaofeng Wang3410.54
Farooq Ahmad402.03