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A Social-Driven Edge Computing Architecture for Mobile Crowd Sensing Management

Research article (IEEE Communications Magazine, 2019) · cited 38× · AI/ML
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A Social-Driven Edge Computing Architecture for Mobile Crowd Sensing Management

Summary

A Social-Driven Edge Computing Architecture for Mobile Crowd Sensing Management is a scholarly article[1].

Key Facts

  • A Social-Driven Edge Computing Architecture for Mobile Crowd Sensing Management's instance of is recorded as scholarly article[2].

Related Entities

Stefano Chessa

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). A Social-Driven Edge Computing Architecture for Mobile Crowd Sensing Management. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-social-driven-edge-computing-architecture-for-mobile-crowd-sensing-management
MLA “A Social-Driven Edge Computing Architecture for Mobile Crowd Sensing Management.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-social-driven-edge-computing-architecture-for-mobile-crowd-sensing-management.
BibTeX @misc{4ortxyz_a-social-driven-edge-computing-architecture-for-mobile-crowd-sensing-management_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Social-Driven Edge Computing Architecture for Mobile Crowd Sensing Management}}, year = {2026}, url = {https://4ort.xyz/entity/a-social-driven-edge-computing-architecture-for-mobile-crowd-sensing-management}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Social-Driven Edge Computing Architecture for Mobile Crowd Sensing Management — https://4ort.xyz/entity/a-social-driven-edge-computing-architecture-for-mobile-crowd-sensing-management (retrieved 2026-05-24)

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