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  1. IR@JU
  2. Ph.D. Thesis
  3. Faculty Council of Engineering & Technology
  4. 2024 (Awarded Year)
Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/7816
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DC FieldValueLanguage
dc.contributor.advisorRoy, Sarbani-
dc.contributor.advisorChowdhury, Chandreyee-
dc.contributor.authorRay, Arpita-
dc.date.accessioned2025-04-28T07:51:38Z-
dc.date.available2025-04-28T07:51:38Z-
dc.date.issued2024-
dc.date.submitted2024-
dc.identifier.otherTC4127-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/7816-
dc.descriptionAwarded year: 2024en_US
dc.format.extent[viii], 135 p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectMobile crowd-sensingen_US
dc.subjectCrowd computingen_US
dc.subjectEdge federationen_US
dc.subjectEdge computingen_US
dc.titleEfficient schemes for crowd-sensing based applicationsen_US
dc.typeTexten_US
dc.departmentJadavpur university. Department of Computer Science and Engineeringen_US
Appears in Collections:2024 (Awarded Year)

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