SenseNow: A Time-Dependent Incentive Approach for Vehicular Crowdsensing
This paper presents an incentive mechanism for vehicular crowdsensing (VCS). Here, a platform selects a set of spots or Places of sensing Interest (PsI) and outsources the collection of data from these places. In particular, the platform is interested in collecting data from most of the PsIs (spatial coverage) at regular and well-spread time intervals (temporal coverage). Although spatial coverage is a natural by-product of this approach, the authors' main focus is to reach temporal coverage. To this goal, they model the interaction between participants (vehicles) as a non-cooperative game in which vehicles are the players, and the time to sample at a given PsI is the players’ strategy. Here, vehicles are rewarded for deviating from their pre-planned paths and visiting a set of PsIs. The rewarding formula is designed such that selfish vehicles trying to maximize their reward will collect high temporal coverage data. In particular, this paper analyses the effects of increasing the number of vehicle deviations on the utilities of both vehicles and the platform.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/26877813
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Supplemental Notes:
- © 2024 The Authors.
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Authors:
- Jaimes, Luis G
- Chintakunta, Harish
- Abedin, Paniz
- Publication Date: 2024
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References;
- Pagination: pp 307-321
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Serial:
- IEEE Open Journal of Intelligent Transportation Systems
- Volume: 5
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 2687-7813
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Crowds; Data collection; Detection and identification technologies; In vehicle sensors; Time
- Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01941019
- Record Type: Publication
- Files: TRIS
- Created Date: Dec 26 2024 4:14PM