Current Result Document :
| 한글제목(Korean Title) |
무선 LAN 에서 WEKA 기반의 이동패턴과 네트워크 분류에 관한 연구 |
| 영문제목(English Title) |
A WEKA Based Mobility Patterns and Network Usage Study in Wireless LAN |
| 저자(Author) |
팽상우
양즈민
임명휘
이상곤
이훈재
임효택
Seong-Yee Phang
Chee-Min Yeoh
Meng-Hui Lim
Sanggon Lee
HoonJae Lee
Hyotaek Lim
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| 원문수록처(Citation) |
VOL 18 NO. 01 PP. VIE ~ 0001 (2008. 04) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Wireless computing can be foreseen as the most promising technology in the ubiquitous computing era. Instead of questioning on what are the types of killer application in mobile computing, it is more relevant for the researchers to study the usage in mobile environment. Network traffic monitoring and tracing are important for researchers to study network characteristic and behavior. These studies are especially useful for the researcher to design these system and application to understand the nature of the user and devices mobility. Besides, it will be a useful reference in designing, implementing, deploying and managing wireless networks. Various studies of wireless network have been carried out across different domains ranging for campus area network to enterprise network. These studies presented different kind of methodologies or approaches in classifying and modeling the user behavior in a wireless network. Most of the works present a complex workout by modeling the usage of the wireless network with mathematical modeling and etc. Therefore, our study intended to provide a simple approach in studying wireless network traffics. The proposed framework will utilize the existing powerful data mining tool, WEKA in studying wireless network traffic. Feasibility study has been carried in this research work as well to justify the simplicity of our proposed approach. The system designers will be benefited from our approach with a less time consuming and lower learning curve model in traffic analysis when they are in the phase of proposing and designing a wireless system in their domain.
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