원문정보
초록
영어
An increasing number of mobile applications aim to realize “smart cities” by utilizing contributions from citizens armed with mobile devices like smartphones. However, there are few generally recognized guidelines for developing and deploying crowdsourcing-based solutions in mobile environments. This paper considers the design of a crowdsensing-based 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 crowdsensing activities can influence the utility of such applications significantly. Equally important, we show that a certain level of freeriding could be allowed to increase social benefits as long as a reasonable service differentiation mechanism exists. Our findings provide designers with a better understanding of mobile crowdsensing features and help guide successful designs.
목차
1. Introduction
2. Related Work
3. System Design
3.1. Assumptions
3.2. Problem, Key Questions, and Required Data
3.3. Data Acquisition
3.4. Parking Guidance Alternatives: Coordinated vs. Uncoordinated
4. Incentive Mechanism
4.1. Contribution Assessment
4.2. Service Differentiation
5. Simulation Methodology
5.1. Simulation Environment
5.2. Simulated Scenario and Parameter Setting
6. Evaluation Results
6.1. Uncoordinated VS Coordinated Crowdsensing
6.2. Impact of Various Design Options Leading to Increased Usability
6.3. The Impact of Free Riders
7. Conclusion
References