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http://hdl.handle.net/10397/105711
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Computing | - |
dc.creator | Xie, K | en_US |
dc.creator | Luo, W | en_US |
dc.creator | Wang, X | en_US |
dc.creator | Xie, D | en_US |
dc.creator | Cao, J | en_US |
dc.creator | Wen, J | en_US |
dc.creator | Xie, G | en_US |
dc.date.accessioned | 2024-04-15T07:36:04Z | - |
dc.date.available | 2024-04-15T07:36:04Z | - |
dc.identifier.isbn | 978-1-5090-1483-5 (Electronic) | en_US |
dc.identifier.isbn | 978-1-5090-1484-2 (Print on Demand(PoD)) | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/105711 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication K. Xie et al., "Decentralized Context Sharing in Vehicular Delay Tolerant Networks with Compressive Sensing," 2016 IEEE 36th International Conference on Distributed Computing Systems (ICDCS), Nara, Japan, 2016, pp. 169-178 is available at https://doi.org/10.1109/ICDCS.2016.83. | en_US |
dc.subject | Compressive Sensing | en_US |
dc.subject | Context Sharing | en_US |
dc.subject | Vehicular Delay Tolerant Network | en_US |
dc.title | Decentralized context sharing in vehicular delay tolerant networks with compressive sensing | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 169 | en_US |
dc.identifier.epage | 178 | en_US |
dc.identifier.doi | 10.1109/ICDCS.2016.83 | en_US |
dcterms.abstract | Vehicles equipped with various types of sensors can act as mobile sensors to monitor the road conditions. To speed up the information collection process, the monitoring data can be shared among vehicles upon their encounters to facilitate drivers to find a good route. The vehicular network experiences intermittent connectivity as a result of the mobility, which makes the inter-vehicle contact duration a scarce resource for data transmissions and the support of monitoring applications over vehicular networks a challenge. We propose a novel compressive sensing (CS)-based scheme to enable efficient decentralized context sharing in vehicular delay tolerant networks, called CS-Sharing. To greatly reduce the data transmission overhead and speed up the monitoring processing, CS-sharing exploits two techniques: sending an aggregate message in each vehicle encounter, and quick collection of information taking advantage of data sharing and the sparsity of events in vehicle networks to significantly reduce the number of measurements needed for global information recovery. We propose a novel data structure, and an aggregation method that can take advantage of the random and opportunistic vehicle encounters to form the measurement matrix. We prove that the measurement matrix satisfies the Restricted Isometry Property (RIP) property required by the CS technique. Our results from extensive simulations demonstrate that CS-Sharing allows vehicles in a large network to quickly obtain the full context data with the successful recovery ratio larger than 90%. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | 2016 IEEE 36th International Conference on Distributed Computing Systems (ICDCS), 27-30 June 2016, Nara, Japan, p. 169-178 | en_US |
dcterms.issued | 2016 | - |
dc.identifier.scopus | 2-s2.0-84986004285 | - |
dc.relation.conference | IEEE International Conference on Distributed Computing Systems [ICDCS] | - |
dc.description.validate | 202402 bcch | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | COMP-1467 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; Prospective Research Project on Future Networks (Jiangsu Future Networks Innovation Institute); National High Technology Research and Development Program of China (863 Program; National Basic Research Program (973 Program); Beijing Natural Science Foundation; U.S. NSF | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 9579515 | - |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Conference Paper |
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File | Description | Size | Format | |
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Cao_Decentralized_Context_Sharing.pdf | Pre-Published version | 1.4 MB | Adobe PDF | View/Open |
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