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  1. Proceedings of the third ACM international symposium on Design and analysis of intelligent vehicular networks and applications (DIVANet '13)
  2. Smart parking by the COIN
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Available bandwidth estimation in GPSR for VANETs
Decision support protocol for intrusion detection in VANETs
Web services for VANET: a service oriented architecturefor infotainment system based on mashup using open APIs
Investigating mobile crowdsensing application performance
The emerging applications of intelligent vehicular networks for traffic efficiency
Assessing the impact of obstacle modeling accuracy on IEEE 802.11p based message dissemination
A distributed clustering algorithm for target tracking in vehicular ad-hoc networks
Improving throughput in highway transportation systems by entry control and virtual queue
Privacy representation in VANET
Semantic based networking of information in vehicular clouds based on dimensionality reduction
Social drive: a crowdsourcing-based vehicular social networking system for green transportation
Smart parking by the COIN
Cross-layer transmit power and beacon rate adaptation for VANETs
A new solution for the time-space localization problem in wireless sensor network using UAV
Dual-mode optimum distance routing scheme for vehicular ad hoc networks
Security and privacy of electric vehicles in the smart grid context: problem and solution
Evaluation of dynamic communities in large-scale vehicular networks
Data dissemination for delay tolerant vehicular networks: using historical mobility patterns
Network based mobility management protocol for ethernet passive optical networks
An efficient fault detection and diagnosis protocolfor vehicular networks
Securing vehicular ad hoc networks with mean field game theory

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Smart parking by the COIN

Content Provider ACM Digital Library
Author Chen, Xiao Ripeanu, Matei Santos-Neto, Elizeu
Abstract This paper proposes COntribution-based Incentive Design (COIN) as a general guideline for developing applications in the context of mobile crowd-sensing. As a case study, we apply the key ideas of crowd-sensing to design a smart parking system. The system encourages contribution by differentiating service and assigning tasks proactively to maintain an up-to-date knowledge base. Unlike generic incentive mechanisms, our approach stresses the evaluation of contributions when designing incentives so that only useful data is rewarded in a specific application scenario. This solution improves the efficiency of the solution and leads to a sustainable crowd-sensing ecosystem.
Starting Page 109
Ending Page 114
Page Count 6
File Format PDF
ISBN 9781450323581
DOI 10.1145/2512921.2512930
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-11-03
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Crowdsourcing Intelligent transportation Crowd-sensing Mobile application
Content Type Text
Resource Type Article
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