Experimental evaluation of usage pattern in campus mobile IP network

Jaehyuk Ryu, Koji Okamura

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    To understand user behavior and usage pattern is critical for not only the deployment, such as load balancing and development, but also the research and simulation of new technology. In this research, we traced and characterized the usage pattern of mobile IP in campus network. The data, which have generated by 1567 users from 228 access points and home agents in 85 buildings, have collected since March 2003. The research result showed the difference of the usage patterns of students, professors as well as the increasing rate of users and sessions. We also analyzed daily usage, roaming pattern, session length and error rate which are different from normal usage pattern of wireless LAN. The result also shows that the users with frequent roaming are the professors, and the student users are mainly staying within one or two places despite of a rapid growing rate in usage.

    Original languageEnglish
    Title of host publicationProceedings - The 28th International Conference on Distributed Computing Systems Workshops, ICDCS Workshops 2008
    Pages54-59
    Number of pages6
    DOIs
    Publication statusPublished - 2008
    Event28th International Conference on Distributed Computing Systems Workshops, ICDCS Workshops 2008 - Beijing, China
    Duration: Jun 17 2008Jun 20 2008

    Publication series

    NameProceedings - International Conference on Distributed Computing Systems

    Other

    Other28th International Conference on Distributed Computing Systems Workshops, ICDCS Workshops 2008
    CountryChina
    CityBeijing
    Period6/17/086/20/08

    All Science Journal Classification (ASJC) codes

    • Software
    • Hardware and Architecture
    • Computer Networks and Communications

    Fingerprint Dive into the research topics of 'Experimental evaluation of usage pattern in campus mobile IP network'. Together they form a unique fingerprint.

    Cite this