Enabling Human-Aware D2D Communication Strategies Through Data Extraction and Analysis

  • Rafael Lima Costa Federal University of Bahia/Paris-Saclay University http://orcid.org/0000-0002-2050-6194
  • Aline Carneiro Viana Inria Saclay - Ile de France
  • Artur Ziviani LNCC
  • Leobino Nascimento Sampaio Universidade Federal da Bahia

Abstract


Real Datasets can reveal user characteristics such as mobility, social interactions, and others that will support Future Mobile Networks in routines prediction and resource management. This work introduces a framework with practices for user-data extraction and manipulation, and proposes human-aware metrics to support a novel opportunistic communication strategy. The experience is reported through a study case with Macaco Dataset and results from trace and metrics analysis, showing the importance of human-behavior based decision factors for future networking solutions.

Keywords: opportunistic networks, mobility, human-aware computing, data management systems

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Published
2020-12-07
COSTA, Rafael Lima; VIANA, Aline Carneiro; ZIVIANI, Artur; SAMPAIO, Leobino Nascimento. Enabling Human-Aware D2D Communication Strategies Through Data Extraction and Analysis. In: BRAZILIAN SYMPOSIUM ON COMPUTER NETWORKS AND DISTRIBUTED SYSTEMS (SBRC), 38. , 2020, Rio de Janeiro. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 449-462. ISSN 2177-9384. DOI: https://doi.org/10.5753/sbrc.2020.12301.