research-article

A comparative analysis of the user behavior in academic WiFi networks

Authors:

Francisco Barcelo-ArroyoAuthors Info & Claims

PM2HW2N '11: Proceedings of the 6th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks

Pages 59 - 66

https://doi.org/10.1145/2069087.2069096

Published: 31 October 2011 Publication History

Abstract

Wireless local area networks (WLAN) are common in universities and their popularity grows every day. Understanding the trends in the use of these networks (i.e. how much, when and where traffic is present) is becoming more relevant. Interesting results can be extracted by analyzing WLAN traces from real scenarios. In this work, three buildings are studied on two campuses in Barcelona (Spain) and its surroundings. This is the first study providing the user behavior in a European campus. Similar trends are observed in the three buildings, despite the different amount of users, purpose of the building and size of the campus. Daily and weekly patterns are shown. The population accessing the networks is mostly composed of infrequent users: less than half of the devices access the WLAN more than four days during the three months studied. Many users visiting one building associate with only one access point: despite the widespread use of lightweight devices many users are static. The main difference among different buildings is the fidelity of users: users on a small campus are more likely to reappear on different days than on a large campus, where the population is more heterogeneous. The results of this analysis provide general tools for characterizing campus-wide WLAN and a better understanding of usage and performance issues in a mature wireless network in Europe.

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https://doi.org/10.3390/ijgi11090485
Mizuno SOhba H(2022)Optimizing intra-facility crowding in Wi-Fi environments using continuous-time Markov chainsDiscover Internet of Things10.1007/s43926-022-00026-x2:1Online publication date: 12-Sep-2022
https://doi.org/10.1007/s43926-022-00026-x
Borsellino RCharles-Edwards ECorcoran J(2021)A Toolkit for Measuring Visitation in Third PlacesApplied Spatial Analysis and Policy10.1007/s12061-020-09372-1Online publication date: 9-Feb-2021
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Index Terms

A comparative analysis of the user behavior in academic WiFi networks
1. General and reference
  1. Cross-computing tools and techniques
    1. Measurement
    2. Metrics

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cover image ACM Conferences

PM2HW2N '11: Proceedings of the 6th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks

October 2011

140 pages

ISBN:9781450309028

DOI:10.1145/2069087

Program Chairs:
Juan-Carlos Cano
Technical University of Valencia, Spain
,
Richard W. Pazzi
University of Ottawa, Canada

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 31 October 2011

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MSWiM '11

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MSWiM '11: The 14th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

October 31, 2011

Florida, Miami, USA

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Overall Acceptance Rate 74 of 226 submissions, 33%

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Cited By

Wang DDewancker BDuan YZhao M(2022)Exploring Spatial Features of Population Activities and Functional Facilities in Rail Transit Station Realm Based on Real-Time Positioning Data: A Case of Xi’an Metro Line 2ISPRS International Journal of Geo-Information10.3390/ijgi1109048511:9(485)Online publication date: 14-Sep-2022
https://doi.org/10.3390/ijgi11090485
Mizuno SOhba H(2022)Optimizing intra-facility crowding in Wi-Fi environments using continuous-time Markov chainsDiscover Internet of Things10.1007/s43926-022-00026-x2:1Online publication date: 12-Sep-2022
https://doi.org/10.1007/s43926-022-00026-x
Borsellino RCharles-Edwards ECorcoran J(2021)A Toolkit for Measuring Visitation in Third PlacesApplied Spatial Analysis and Policy10.1007/s12061-020-09372-1Online publication date: 9-Feb-2021
https://doi.org/10.1007/s12061-020-09372-1
Chuvak ASurovtsova T(2018)Analysis of User Activity in Wireless Local Area Network of Petrozavodsk State UniversityProceedings of the 22st Conference of Open Innovations Association FRUCT10.5555/3266365.3266370(34-39)Online publication date: 21-May-2018
https://dl.acm.org/doi/10.5555/3266365.3266370
Chuvak ASurovtsova T(2018)Analysis of User Activity in Wireless Local Area Network of Petrozavodsk State University2018 22nd Conference of Open Innovations Association (FRUCT)10.23919/FRUCT.2018.8468288(34-39)Online publication date: May-2018
https://doi.org/10.23919/FRUCT.2018.8468288
Redondi ACesana MWeibel DFitzgerald E(2016)Understanding the WiFi usage of university students2016 International Wireless Communications and Mobile Computing Conference (IWCMC)10.1109/IWCMC.2016.7577031(44-49)Online publication date: Sep-2016
https://doi.org/10.1109/IWCMC.2016.7577031
Ganji FBudzisz ŁDebele FLi NMeo MRicca MZhang YWolisz A(2015)Greening campus WLANsComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2014.10.03378:C(164-181)Online publication date: 26-Feb-2015
https://dl.acm.org/doi/10.1016/j.comnet.2014.10.033
Canellopoulou-Bottis M(undefined)Privacy and Surveillance-Current Aspects and Future PerspectivesSSRN Electronic Journal10.2139/ssrn.2623550
https://doi.org/10.2139/ssrn.2623550

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