Incentive Mechanisms for Mobile Crowd Sensing: Current States and Challenges of Work

TL;DR

This paper reviews the current state of incentive mechanisms in mobile crowd sensing, discusses challenges, and proposes a new architecture to enhance data collection and participation at a societal scale.

Contribution

It introduces a novel architecture for MCS applications and discusses research challenges and future directions for incentive mechanism design.

Findings

Identified key challenges in incentive mechanism design for MCS.

Proposed a new architecture to improve data collection and participant engagement.

Outlined future research directions in incentive mechanisms for MCS.

Abstract

Mobile crowd sensing (MCS) is a new paradigm which leverages the ubiquity of sensor-equipped mobile devices such as smartphones, music players, and in-vehicle sensors at the edge of the Internet, to collect data. The new paradigm will fuel the evolution of the Internet of Things to three changes as follows: First, the terminal devices at the edge of the Internet change from PCs to mobile phones. Second, the interactive mode extends from the virtual space to the real physical world. Thirdly, the forwarding manner of sensing data are undergoing the transition from the priori to the opportunistic. To better meet the demands of MCS applications at a societal scale, incentive mechanisms are indispensable. In this paper, we will first overview three categories of MCS applications, and then propose a new architecture for MCS applications. Based on the architecture, we discuss various research challenges about incentive mechanism designs for MCS applications, followed by potential future work discussions. Finally, we present potential future works.