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Mobile crowdsensing (MCS) is a transformative approach that leverages the ubiquitous presence of smart devices to collect and analyze data from diverse sources systematically. This chapter delves into the crucial role of MCS in data collection, highlighting its enhanced effectiveness when integrated with online social networks (OSNs) and wireless sensor networks (WSNs). This integration is particularly significant for contact tracing during health crises, such as the COVID-19 pandemic, where it leverages Internet of Things (IoT) and social network analysis (SNA) methodologies to improve data collection and contact tracing efficacy. A case study on COVID-19 contact tracing using wireless mesh networks (WMN) and OSNs underscores this integrated approach’s practical applications and substantial benefits.

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From Mobile Crowdsensing to Contact Tracing

  • 章节

  • 发表日期：

    2025年

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  • Yesin Sahraoui,
  • Chaker Abdelaziz Kerrache

摘要

Mobile crowdsensing (MCS) is a transformative approach that leverages the ubiquitous presence of smart devices to collect and analyze data from diverse sources systematically. This chapter delves into the crucial role of MCS in data collection, highlighting its enhanced effectiveness when integrated with online social networks (OSNs) and wireless sensor networks (WSNs). This integration is particularly significant for contact tracing during health crises, such as the COVID-19 pandemic, where it leverages Internet of Things (IoT) and social network analysis (SNA) methodologies to improve data collection and contact tracing efficacy. A case study on COVID-19 contact tracing using wireless mesh networks (WMN) and OSNs underscores this integrated approach’s practical applications and substantial benefits.