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dc.contributor.authorHajiaghayi, Mohammad Taghi
dc.contributor.authorBredin, Jonathan L.
dc.contributor.authorDemaine, Erik D.
dc.contributor.authorRus, Daniela L.
dc.date.accessioned2012-04-04T21:32:47Z
dc.date.available2012-04-04T21:32:47Z
dc.date.issued2010-02
dc.date.submitted2009-02
dc.identifier.issn1063-6692
dc.identifier.issn1558-2566
dc.identifier.otherINSPEC Accession Number: 11137956
dc.identifier.urihttp://hdl.handle.net/1721.1/69942
dc.description.abstractWe consider the problem of deploying or repairing a sensor network to guarantee a specified level of multipath connectivity (k-connectivity) between all nodes. Such a guarantee simultaneously provides fault tolerance against node failures and high overall network capacity (by the max-flow min-cut theorem). We design and analyze the first algorithms that place an almost-minimum number of additional sensors to augment an existing network into a k -connected network, for any desired parameter k . Our algorithms have provable guarantees on the quality of the solution. Specifically, we prove that the number of additional sensors is within a constant factor of the absolute minimum, for any fixed k . We have implemented greedy and distributed versions of this algorithm, and demonstrate in simulation that they produce high-quality placements for the additional sensors.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant IIS-0426838)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant IIS-0225446)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant ITR ANI-0205445)en_US
dc.description.sponsorshipUnited States. Army Research Office. Multidisciplinary University Research Initiative. Scalable Swarms of Autonomous Robots and Mobile Sensors Projecten_US
dc.description.sponsorshipUnited States. Army Research Office. Multidisciplinary University Research Initiative. Smart Adaptive Reliable Teams for Persistent Surveillanceen_US
dc.description.sponsorshipUnited States. Army Research Office. Multidisciplinary University Research Initiative. Adaptive Networks for Threat and Intrusian Detection Or TErminationen_US
dc.description.sponsorshipUnited States. Dept. of Homeland Security. Office for Domestic Preparedness (Award Number 2000-DT-CX-K001)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/tnet.2009.2024941en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceIEEEen_US
dc.titleDeploying Sensor Networks With Guaranteed Fault Toleranceen_US
dc.typeArticleen_US
dc.identifier.citationBredin, J.L. et al. “Deploying Sensor Networks With Guaranteed Fault Tolerance.” IEEE/ACM Transactions on Networking 18.1 (2010): 216–228. Web. 4 Apr. 2012. © 2010 Institute of Electrical and Electronics Engineersen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.approverDemaine, Erik D.
dc.contributor.mitauthorBredin, Jonathan L.
dc.contributor.mitauthorDemaine, Erik D.
dc.contributor.mitauthorRus, Daniela L.
dc.relation.journalIEEE/ACM Transactions on Networkingen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
dspace.orderedauthorsBredin, J.L.; Demaine, E.D.; Hajiaghayi, M.T.; Rus, D.en
dc.identifier.orcidhttps://orcid.org/0000-0003-3803-5703
dc.identifier.orcidhttps://orcid.org/0000-0001-5473-3566
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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