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Application-aware in-network service deployment for collaborative adaptive sensing of the atmosphere (CASA)

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dc.contributor.authorLee, Panho, author
dc.contributor.authorBanka, Tarun, author
dc.contributor.authorLim, Sang-hun, author
dc.contributor.authorJayasumana, Anura P., author
dc.contributor.authorChandrasekar, V., author
dc.date.accessioned2015-07-28T16:07:40Z
dc.date.available2015-07-28T16:07:40Z
dc.date.issued2008
dc.description.abstractAn Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere (CASA) funded by the National Science Foundation, seeks to revolutionize the way we detect, monitor and predict atmospheric phenomena by creating a dense network of small, low-cost, low-power radars that could collaboratively and adaptively sense the lower atmosphere. Such a network is expected to provide more timely and accurate forecasts for tornadoes, flash floods, and other hazardous weathers. In addition, the networked radars can offer improved accuracies and more specific inferences that could not be achieved by the use of a single long-range radar. In CASA, multiple end users may be present that have distinct sensing, communication and computation requirements for their operations. In addition, the underlying network infrastructure may itself be subjected to adverse conditions due to severe weather and link degradation/outage along wired and wireless links. We use overlay networking to provide acceptable quality of service (QoS) and robust data transport service for the CASA end-users. At CSU, we have developed an AWON (Application-aWare Overlay Networks) architecture for deploying application-aware services in an overlay network to best meet the end-users' QoS requirements over the available networking infrastructure; based on this, we have implemented an application-aware multicast service for CASA. We also present a multi-sensor fusion framework which can provide a mechanism for selecting a set of data for data fusion considering application-specific needs, and a distributed processing scheme to minimize the execution time required for processing data per integration algorithm.
dc.description.award3rd place, ISTeC Student Research Poster Contest (April 7, 2008).
dc.description.sponsorshipThis work was supported primarily by the Engineering Research Centers program of the National Science Foundation under NSF award number 0313747.
dc.format.mediumborn digital
dc.format.mediumStudent works
dc.format.mediumposters
dc.identifieristec2008_Lee.pdf
dc.identifierSTUFISTC2008100002POST
dc.identifier.urihttp://hdl.handle.net/10217/1623
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofStudent Research Posters
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectapplication-aware overlay network
dc.subjectoverlay networks
dc.subjectsensor networks
dc.titleApplication-aware in-network service deployment for collaborative adaptive sensing of the atmosphere (CASA)
dc.typeText
thesis.degree.disciplineEngineering
thesis.degree.disciplineElectrical and Computer Engineering

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