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Smart city article details

Title	Mobile Crowd-Sensing For Smart Cities
ID_Doc	37261
Authors	Chowdhury C.; Roy S.
Year	2017
Published	Smart Cities: Foundations, Principles, and Applications
DOI	http://dx.doi.org/10.1002/9781119226444.ch5
Abstract	This chapter reviews the literature of mobile crowd-sensing (MCS) for smart cities is reviewed thoroughly including motivation, possible applications, and issues that are key to successful deployment of such services. It discusses the challenges of crowd-sensing in the context of smart city followed by a brief overview of existing frameworks. The chapter also discusses the issues regarding task assignment, user profiling and trustworthiness, design of incentive mechanisms, localized analytics, and security and privacy. While crowd-sourcing is aimed to utilize collective intelligence of the crowd to solve complex tasks by breaking them down to smaller tasks, crowd-sensing splits the responsibility of gathering correct information to the crowd. Toward this, a geo-social model of MCS is proposed. This model is based on a distributed architecture for task design, assessment, and execution. McSense is a framework that is also proposed for MCS. This framework talks about monetary or service incentives given to users. © 2017 John Wiley & Sons, Inc. All rights reserved.
Author Keywords	Geo-social model; Here-n-Now framework; Incentive mechanisms; McSense; Mobile crowd-sensing; Smart city applications; Task assignment; User profiling

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