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Crowd-based smart parking: a case study for mobile crowdsourcing.
| Content Provider | CiteSeerX |
|---|---|
| Author | Chen, Xiao Santos-Neto, Elizeu Ripeanu, Matei |
| Abstract | Abstract. An increasing number of mobile applications aim to enable “smart cities ” by harnessing contributions from citizens armed with mobile devices that have sensing ability. However, there are few generally recognized guidelines for developing and deploying crowdsourcing-based solutions in mobile environments. This paper considers the design of a crowdsourcingbased smart parking system as a specific case study in an attempt to explore the basic design principles applicable to an array of similar applications. Through simulations, we show that the strategies behind crowdsourcing can heavily influence the utility of such applications. Equally importantly, we show that tolerating a certain level of freeriding increases the social benefits while maintaining quality of service level offered. Our findings provide designers with a better understanding of mobile crowdsourcing features and help guide successful designs. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Case Study Mobile Crowdsourcing Crowd-based Smart Parking Specific Case Study Mobile Crowdsourcing Feature Mobile Device Crowdsourcing-based Solution Social Benefit Basic Design Principle Mobile Environment Smart City Crowdsourcingbased Smart Similar Application Mobile Application Service Level Certain Level Successful Design |
| Content Type | Text |
| Resource Type | Article |
