Q-learning 모델을 이용한 IoT 기반 주차유도 시스템의 설계 및 구현Design and Implementation of Parking Guidance System Based on Internet of Things(IoT) Using Q-learning Model
- Other Titles
- Design and Implementation of Parking Guidance System Based on Internet of Things(IoT) Using Q-learning Model
- Authors
- 지용주; 김동성; 최학희
- Issue Date
- 2016
- Publisher
- 대한임베디드공학회
- Keywords
- Internet of things (IoT); Q-learning; Cloud computing; Virtual machine provisioning (VM provisioning)
- Citation
- 대한임베디드공학회논문지, v.11, no.3, pp.153 - 162
- Journal Title
- 대한임베디드공학회논문지
- Volume
- 11
- Number
- 3
- Start Page
- 153
- End Page
- 162
- URI
- https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/1259
- DOI
- 10.14372/IEMEK.2016.11.3.153
- ISSN
- 1975-5066
- Abstract
- This paper proposes an optimal dynamic resource allocation method in IoT (Internet of Things) parking guidance system using Q-learning resource allocation model. In the proposed method, a resource allocation using a forecasting model based on Q-learning is employed for optimal utilization of parking guidance system. To demonstrate efficiency and availability of the proposed method, it is verified by computer simulation and practical testbed. Through simulation results, this paper proves that the proposed method can enhance total throughput, decrease penalty fee issued by SLA (Service Level Agreement) and reduce response time with the dynamic number of users.
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Collections - School of Electronic Engineering > 1. Journal Articles
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