| dc.contributor.author | Hajiaghayi, Mohammad Taghi | |
| dc.contributor.author | Bredin, Jonathan L. | |
| dc.contributor.author | Demaine, Erik D. | |
| dc.contributor.author | Rus, Daniela L. | |
| dc.date.accessioned | 2012-04-04T21:32:47Z | |
| dc.date.available | 2012-04-04T21:32:47Z | |
| dc.date.issued | 2010-02 | |
| dc.date.submitted | 2009-02 | |
| dc.identifier.issn | 1063-6692 | |
| dc.identifier.issn | 1558-2566 | |
| dc.identifier.other | INSPEC Accession Number: 11137956 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/69942 | |
| dc.description.abstract | We 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.sponsorship | National Science Foundation (U.S.) (Grant IIS-0426838) | en_US |
| dc.description.sponsorship | National Science Foundation (U.S.) (Grant IIS-0225446) | en_US |
| dc.description.sponsorship | National Science Foundation (U.S.) (Grant ITR ANI-0205445) | en_US |
| dc.description.sponsorship | United States. Army Research Office. Multidisciplinary University Research Initiative. Scalable Swarms of Autonomous Robots and Mobile Sensors Project | en_US |
| dc.description.sponsorship | United States. Army Research Office. Multidisciplinary University Research Initiative. Smart Adaptive Reliable Teams for Persistent Surveillance | en_US |
| dc.description.sponsorship | United States. Army Research Office. Multidisciplinary University Research Initiative. Adaptive Networks for Threat and Intrusian Detection Or TErmination | en_US |
| dc.description.sponsorship | United States. Dept. of Homeland Security. Office for Domestic Preparedness (Award Number 2000-DT-CX-K001) | en_US |
| dc.language.iso | en_US | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1109/tnet.2009.2024941 | en_US |
| dc.rights | Article 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.source | IEEE | en_US |
| dc.title | Deploying Sensor Networks With Guaranteed Fault Tolerance | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Bredin, 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 Engineers | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
| dc.contributor.approver | Demaine, Erik D. | |
| dc.contributor.mitauthor | Bredin, Jonathan L. | |
| dc.contributor.mitauthor | Demaine, Erik D. | |
| dc.contributor.mitauthor | Rus, Daniela L. | |
| dc.relation.journal | IEEE/ACM Transactions on Networking | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| dspace.orderedauthors | Bredin, J.L.; Demaine, E.D.; Hajiaghayi, M.T.; Rus, D. | en |
| dc.identifier.orcid | https://orcid.org/0000-0003-3803-5703 | |
| dc.identifier.orcid | https://orcid.org/0000-0001-5473-3566 | |
| mit.license | PUBLISHER_POLICY | en_US |
| mit.metadata.status | Complete | |