From Participatory Sensing to Mobile Crowd Sensing

Abstract

The research on the efforts of combining human and machine intelligence has a long history. With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of citizens for large-scale sensing has become popular in recent years. As an evolution of participatory sensing, MCS has two unique features: (1) it involves both implicit and explicit participation; (2) MCS collects data from two user-participant data sources: mobile social networks and mobile sensing. This paper presents the literary history of MCS and its unique issues. A reference framework for MCS systems is also proposed. We further clarify the potential fusion of human and machine intelligence in MCS. Finally, we discuss the future research trends as well as our efforts to MCS.

Cited by in corpus (7)

• SafeRNet: Safe Transportation Routing in the era of Internet of Vehicles and Mobile Crowd Sensing
• Collaboratively assessing urban alerts in ad hoc participatory sensing
• On Mobile Cloud for Smart City Applications
• Distributed Estimation in the Presence of Strategic Data Sources
• Wirelessly Powered Urban Crowd Sensing over Wearables: Trading Energy for Data
• Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey
• Resource Management in Cloud Networking Using Economic Analysis and Pricing Models: A Survey