View in EDS

D2D Opportunistic Local Content Dissemination Sans Location Sharing.

Saved in:
Bibliographic Details
Title: D2D Opportunistic Local Content Dissemination Sans Location Sharing.
Authors: Saha, Barun Kumar, Misra, Sudip
Source: IEEE Transactions on Vehicular Technology. Jul2018, Vol. 67 Issue 7, p6461-6468. 8p.
Subjects: Information dissemination, Lucid (Computer program language), Programming languages, Information science, Simulation methods & models
Abstract: In this paper, we consider the problem of local content dissemination among mobile users via decentralized device-to-device (D2D) communication, where the concerned contents have relevance only within a geographic span centered at their respective location of creation. This has several potential applications, for example, advertising and sharing contents specific to an event. To this end, we propose a scheme for locality-bounded content and information dissemination (LUCID) leveraging opportunistic D2D communications. Unlike other existing works, LUCID innovates by not requiring users to share locations of the centers of localities and, thereby, provides a natural defense against possible location privacy attacks. In this paper, we theoretically characterize the behavior of LUCID for different locality sizes. Moreover, we investigate the extent to which an individual user can attempt to infer the location of a center of a locality, and discuss why that is difficult to achieve. Finally, we also consider an alternative version of LUCID where locations are partially shared. Results of simulation-based performance evaluation indicate that, when compared to an optimal scheme, LUCID can deliver contents to about two-third of the relevant users without requiring any location sharing. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Vehicular Technology is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 130740560
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: D2D Opportunistic Local Content Dissemination Sans Location Sharing.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Saha%2C+Barun+Kumar%22">Saha, Barun Kumar</searchLink><br /><searchLink fieldCode="AR" term="%22Misra%2C+Sudip%22">Misra, Sudip</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Vehicular+Technology%22">IEEE Transactions on Vehicular Technology</searchLink>. Jul2018, Vol. 67 Issue 7, p6461-6468. 8p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Information+dissemination%22">Information dissemination</searchLink><br /><searchLink fieldCode="DE" term="%22Lucid+%28Computer+program+language%29%22">Lucid (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Programming+languages%22">Programming languages</searchLink><br /><searchLink fieldCode="DE" term="%22Information+science%22">Information science</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In this paper, we consider the problem of local content dissemination among mobile users via decentralized device-to-device (D2D) communication, where the concerned contents have relevance only within a geographic span centered at their respective location of creation. This has several potential applications, for example, advertising and sharing contents specific to an event. To this end, we propose a scheme for locality-bounded content and information dissemination (LUCID) leveraging opportunistic D2D communications. Unlike other existing works, LUCID innovates by not requiring users to share locations of the centers of localities and, thereby, provides a natural defense against possible location privacy attacks. In this paper, we theoretically characterize the behavior of LUCID for different locality sizes. Moreover, we investigate the extent to which an individual user can attempt to infer the location of a center of a locality, and discuss why that is difficult to achieve. Finally, we also consider an alternative version of LUCID where locations are partially shared. Results of simulation-based performance evaluation indicate that, when compared to an optimal scheme, LUCID can deliver contents to about two-third of the relevant users without requiring any location sharing. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IEEE Transactions on Vehicular Technology is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=130740560
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/TVT.2018.2805227
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 6461
    Subjects:
      – SubjectFull: Information dissemination
        Type: general
      – SubjectFull: Lucid (Computer program language)
        Type: general
      – SubjectFull: Programming languages
        Type: general
      – SubjectFull: Information science
        Type: general
      – SubjectFull: Simulation methods & models
        Type: general
    Titles:
      – TitleFull: D2D Opportunistic Local Content Dissemination Sans Location Sharing.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Saha, Barun Kumar
      – PersonEntity:
          Name:
            NameFull: Misra, Sudip
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul2018
              Type: published
              Y: 2018
          Identifiers:
            – Type: issn-print
              Value: 00189545
          Numbering:
            – Type: volume
              Value: 67
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: IEEE Transactions on Vehicular Technology
              Type: main
ResultId 1