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Top-down clustering based self-organization of collaborative wireless sensor networks

dc.contributor.authorBandara, H. M. N. Dilum, author
dc.contributor.authorJayasumana, Anura P., advisor
dc.contributor.authorMassey, Daniel F., committee member
dc.contributor.authorChandrasekar, V., committee member
dc.date.accessioned2007-01-03T04:53:29Z
dc.date.available2007-01-03T04:53:29Z
dc.date.issued2008
dc.descriptionDepartment Head: Anthony A. Maciejewski.
dc.description.abstractThe proposed cluster tree based routing strategy facilitates both node-to-sink and node-to-node communication. Hierarchical addresses that reflect the parent-child relationship of cluster heads is used to route data along the cluster tree. Utilization of cross-links among neighboring cluster heads and a circular path within the network approximately doubles the capacity of the network. Under ideal conditions, this approach guarantees delivery of events/queries and has a lower overhead compared to routing strategies such as rumor routing and ant routing. The cluster tree formed by our algorithm is used to identify and form Virtual Sensor networks (VSNs), an emerging concept that supports resource efficient collaborative WSNs. Our implementation of VSN is able to deliver unicast, multicast, and broadcast traffic among nodes observing similar events, efficiently. Efficacy of the VSN based approach is evaluated by simulating a subsurface chemical plume monitoring system. The algorithm is further extended to support the formation of a secure backbone that can enable secure upper layer functions and dynamic distribution of cryptographic keys, among nodes and users of collaborative sensor networks.
dc.format.mediummasters theses
dc.identifier2008_fall_Bandara.pdf
dc.identifierETDF2008100001ECEN
dc.identifier.urihttp://hdl.handle.net/10217/5815
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relationCatalog record number (MMS ID): 991010345239703361
dc.relationTK7872.D48.B354 2008
dc.relation.ispartof2000-2019
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.titleTop-down clustering based self-organization of collaborative wireless sensor networks
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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