KIISE Transactions on Computing Practices (정보과학회 컴퓨팅의 실제 논문지)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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Smart Parking System Using Ultrasonic Sensor and Bluetooth Communication in Internet of Things

사물인터넷에서 초음파 센서와 블루투스 통신을 이용한 스마트 주차 시스템

  • 이충산 (강원대학교 컴퓨터정보통신공학과) ;
  • 한영탁 (강원대학교 컴퓨터정보통신공학과) ;
  • 전수빈 (강원대학교 컴퓨터정보통신공학과) ;
  • 서동만 (대구가톨릭대학교 컴퓨터공학전공) ;
  • 정인범 (강원대학교 컴퓨터정보통신공학과)
  • Received : 2016.02.19
  • Accepted : 2016.04.12
  • Published : 2016.06.15
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Abstract

IoT (Internet of Things) technologies have largely contributed to our smart living environment. The smart parking system is one of the prominent services that IoT supports. To identify the parked vehicles, the previous parking system use special identifying devices, the RFID tags carried by the users, and the high quality camera to recognize the vehicle license numbers. However, the previous methods cause cost inefficiency and unfriendly usages. To address these problems, we propose a smart parking system based on ultrasonic sensors and Bluetooth communication. The proposed system decides the available slots by using the sensor motes located in the parking spaces. Also it recognizes the location of the parked vehicle using Bluetooth RSSI between a Smartphone and the sensor motes. In addition, based on these converging technologies, it can support the parked routes of vehicles for users. To evaluate the implemented smart parking system, we applied the RSSI transform equations and the recognition rate for parked vehicles. As a result, the accurate rate of transformed distances could be measured.

사물인터넷이 대중화되면서 주차장에도 사물인터넷 환경을 구축해 이용객이 주차한 차량의 위치 식별 및 주차 위치 안내 서비스를 제공하려는 연구가 진행되고 있다. 기존 시스템들은 차량을 식별하기 위해 식별 장치를 차량에 부착하거나 이용객이 소지하는 방법 또는 고화질 카메라를 이용하여 주차된 차량의 번호판을 인식하는 방법 등을 이용하고 있다. 하지만 이 방법들은 이용 방법과 비용 측면에서 아쉬운 면을 보였다. 본 논문에서는 초음파 센서와 블루투스 통신을 이용한 스마트 실내 주차장 관리 시스템을 제안한다. 제안하는 시스템은 각 주차공간에 설치된 주차장 센서 모트의 초음파센서를 이용하여 차량의 점령을 판단하고 블루투스의 RSSI를 이용하여 주차된 차량의 위치 식별이 가능하다. 또한 블루투스 RSSI를 이용한 실시간 실내 위치 인식을 통해 주차된 차량까지의 길 안내 서비스가 가능하다. 시스템의 성능평가를 위해 주차된 차량의 위치 인식률과 RSSI를 변환해 얻은 거리의 정확도를 측정하였다.

Keywords

Acknowledgement

Supported by : 한국연구재단

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