Continuous Monitoring of Wide-Area Wireless Networks: Data Collection and Visualization [Demonstration Abstract] Justin Ormont Department of Computer Engineering University of Wisconsin Madison, WI 53706, USA Jordan Walker Department of Computer Sciences University of Wisconsin Madison, WI 53706, USA Suman Banerjee Department of Computer Sciences University of Wisconsin Madison, WI 53706, USA ormont@wisc.edu ABSTRACT jiwalker@wisc.edu suman@cs.wisc.edu In this work, we present an infrastructure for monitoring and visualizing performance of a wide-area wireless network, We present a unique, vehicle-mounted platform and a testbed for wide-area wireless experimentation. The testbed nodes are mounted on metro transit city buses in Madison, WI, and are currently equipped with both cellular EV-DOâ and WiFi interfaces. Our initial goal for this infrastructure is to continuously monitor characteristics and performance of large-scale wireless networks, e.g., city-wide mesh networks or cellular networks. In such networks, customers experience a very large range of geographic and mobility-related radio environments. A vehicle-mounted platform, with fairly deterministic mobility patterns, can provide an e cient, lowcost, and robust method to gather much needed performance data on parameters like RF coverage, available bandwidth, and impact of mobility. Our demonstration outlines the framework of such a distributed measurement system. We also showcase the potential
End of preview. The entire article is 3 pages. To view the full-text, please rent this article to continue.
/lp/association-for-computing-machinery/continuous-monitoring-of-wide-area-wireless-networks-data-collection-JwFCHU1P0v
Welcome to DeepDyve! Rent Premier Research Articles and Save Up to 90%
Continuous monitoring of wide-area wireless networks: data collection and visualization
Ormont, Justin; Walker, Jordan; Banerjee, Suman
Follow ACM SIGMETRICS Performance Evaluation Review
, Volume 36 (2)
Association for Computing Machinery – Aug 31, 2008
More Info
More Like This Article
View All dataSource[]=actageo&dataSource[]=aspet&dataSource[]=aaos&dataSource[]=aacc&dataSource[]=aacr&dataSource[]=aea&dataSource[]=aip&dataSource[]=ajnr&dataSource[]=ams&dataSource[]=aps_physical&dataSource[]=appi_book&dataSource[]=appi_journal&dataSource[]=apha&dataSource[]=asip&dataSource[]=asm&dataSource[]=asn&dataSource[]=aspb&dataSource[]=avs&dataSource[]=annual_reviews&dataSource[]=arxiv&dataSource[]=acm&dataSource[]=berghahn&dataSource[]=cabi&dataSource[]=clinical_trials&dataSource[]=dailymed&dataSource[]=degruyter&dataSource[]=du_press&dataSource[]=esa&dataSource[]=eu_press&dataSource[]=elsevier&dataSource[]=emerald&dataSource[]=ejtr&dataSource[]=emea&dataSource[]=epo&dataSource[]=faseb&dataSource[]=gsa&dataSource[]=health_affairs&dataSource[]=hindawi&dataSource[]=imanager&dataSource[]=imedpub&dataSource[]=informa_healthcare&dataSource[]=informs&dataSource[]=iop&dataSource[]=iucr&dataSource[]=iospress&dataSource[]=jbjs&dataSource[]=leftcoast&dataSource[]=lu_press&dataSource[]=mesharpe&dataSource[]=mary_ann_liebert&dataSource[]=medline&dataSource[]=mit_press&dataSource[]=nature&dataSource[]=oxford&dataSource[]=pier_professional&dataSource[]=pnas&dataSource[]=portlandpress&dataSource[]=psyc_articles&dataSource[]=psyc_books&dataSource[]=psyc_critiques&dataSource[]=plos_journal&dataSource[]=pubmed_central&dataSource[]=rsna&dataSource[]=rockefeller&dataSource[]=rcn&dataSource[]=ria&dataSource[]=rsc&dataSource[]=sage&dataSource[]=spie&dataSource[]=springer_journal&dataSource[]=springer&dataSource[]=taylor_francis&dataSource[]=aps&dataSource[]=the_scientist&dataSource[]=uc_press&dataSource[]=uspto_abstract&dataSource[]=wiley&dataSource[]=pct
© 2012 DeepDyve, Inc. All rights reserved.
Terms of Service | Privacy Policy
