KIPS Transactions on Computer and Communication Systems (정보처리학회논문지:컴퓨터 및 통신 시스템)

Korea Information Processing Society (한국정보처리학회)
권호 표지
DOI QR코드

DOI QR Code

Design and Implementation of Distributed Parking Space Management Service in Scalable LPWA-Based Networks

대규모 LPWA기반 네트워크에서 분산된 주차 공간 관리서비스의 설계 및 구현

  • 박신열 (성균관대학교 스마트팩토리융합학과) ;
  • 정종필 (성균관대학교 스마트팩토리융합학과) ;
  • 박동범 (파워보이스 R&D Lab) ;
  • 박병준 (성균관대학교 체력과학연구소)
  • Received : 2018.05.23
  • Accepted : 2018.07.26
  • Published : 2018.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

Due to the development of cities and the increase of vehicles, effective control of parking space management service in cities is needed. However, the existing parking lot management system does not provide limited or convenient service in terms of space and time. In this paper, we propose distributed parking space management service based on large scale LPWA (Low-Power Wide-Area). The parking sensor collects parking space information from the parking lot and is transmitted over a low-power wide network. All parking data is processed and analyzed in the IoT cloud. Through a parking space management service system in all cities, users are given the temporal convenience of determining the parking space and the area efficiency of the parking space.

도시의 급속한 발전과 인구유입에 따른 차량의 증가로 부족한 도시의 주차 공간에 대한 효율적인 관리가 필요하고 사용자에게 보다 편리함을 제고할 필요가 증대되고 있다. 그러나 기존의 주차장 관리시스템은 공간적 및 시간적으로 제한되어 있거나, 편리함을 제공하지 못하고 있다. 본 논문에서는 광역의 분산된 주차 공간 관리서비스에 LPWA기반의 통신, IoT 클라우드를 구축하여 주차 공간 관리서비스에 대한 효율화 및 편리성을 높이도록 제안한다. 주차 센서는 주차장의 주차 공간 정보를 수집하며 저전력 광역 네트워크를 통해 전송되며, 모든 주차 데이터는 IoT 클라우드에서 처리되고 분석되어, 주차 공간관리 서비스 시스템을 통하여, 도시의 사람들에게 주차 가능 면적을 확인하도록 하여 시간적인 편리함과 주차 공간에 대한 면적 효율화를 제공한다.

Keywords

References

  1. D. Teodorovic and P. Lucic, "Intelligent parking systems," European Journal of Operational Research, Vol.175, No.3, pp. 1666-1681, Dec. 2006. https://doi.org/10.1016/j.ejor.2005.02.033
  2. C. Peng, K. Qian, and C. Wang, "Design and application of a VOC-monitoring system based on a ZigBee wireless sensor network," IEEE Sensors Journal, Vol.15, No.4, pp.2255-2268, Apr. 2015. https://doi.org/10.1109/JSEN.2014.2374156
  3. S. He, J. Chen, X. Li, X. S. Shen, and Y. Sun, "Mobility and intruder prior information improving the barrier coverage of sparse sensor networks," IEEE Transaction on Mobile Computing, Vol.13, No.6, pp.1268-1282, Jun. 2014. https://doi.org/10.1109/TMC.2013.129
  4. J. Chen, W. Xu, S. He, Y. Sun, P. Thulasiraman, and X. Shen, "Utility-based asynchronous flow control algorithm for wireless sensor networks," IEEE Journal on Selected Areas in Communications, Vol.28, No.7, pp.1116-1126, Sep. 2010. https://doi.org/10.1109/JSAC.2010.100916
  5. L. Lei, Y. Kuang, X. Shen, K. Yang, J. Qiao, and Z. Zhong, "Optimal reliability in energy harvesting industrial wireless sensor networks," IEEE Transactions on Wireless Communications, Vol.15, pp.5399-5413, Aug. 2016. https://doi.org/10.1109/TWC.2016.2558146
  6. X. Xiong, K. Zheng, R. Xu, W. Xiang, and P. Chatzimisios, "Low power wide area machine-to-machine networks: Key techniques and prototype," IEEE Communications Magazine, Vol.53, No.9, pp.64-71, Sep. 2015.
  7. SIGFOX. (2016). Online Available at: http://www.sigfox.com
  8. New WI Proposal: Narrow Band IoT, document 3GPP RAN Tdoc RP-151621, RAN Plenary #69 Meeting, Sep. 2015.
  9. L. Lei, Y. Kuang, N. Cheng, X. Shen, Z. Zhong, and C. Lin, "Delay-optimal dynamic mode selection and resource allocation in device-to-device communications Part II: Practical algorithm," IEEE Transactions On Vehicular Technology, Vol.65, No.5, pp.3491-3505, May 2016. https://doi.org/10.1109/TVT.2015.2444791
  10. S. Andreev, O. Galinina, A. Pyattaev, M. Gerasimenko, T. Tirronen, J. Torsner, J. Sachs, M. Dohler, and Y. Koucheryavy, "Understanding the IoT connectivity landscape: A contemporary M2M radio technology roadmap," IEEE Commun. Mag., Vol.53, No.9, pp.32-40, Sep. 2015. https://doi.org/10.1109/MCOM.2015.7263370
  11. S. Y. Kim, S. K. Park, and H. D. Choi, "LPWA Based Wide Area IoT Technology and Standardization," Electronics and Telecommunications Trends, Vol.32, No.2, Apr. 2016.
  12. E. R. Ko, "Low Power Wide Area Technology Trend for the Small Internet," OSIA S&TR Journal, Vol.29, No.3, Sep. 2016.
  13. D. Teodorovic and P. Lucic, "Intelligent parking systems," European Journal of Operational Research, Vol.175, No.3, pp.1666-1681, Dec. 2006. https://doi.org/10.1016/j.ejor.2005.02.033
  14. S. Madakam and R. Ramachandran, "Barcelona Smart City_The Heaven on Earth(Internet of Things Technological God)," ZTE Communications, Vol.13, No.4, Dec. 2015.
  15. Editor, "Speed up parking with sensors," Electronic science, Feb. 2014. [Internet], http://www.elec4.co.kr/article/articleView.asp?idx=5785.
  16. J. Shin and H. Jun, "A study on smart parking guidance algorithm," Transportation Research Part C, Vol.44, pp. 299-317, Jul. 2014. https://doi.org/10.1016/j.trc.2014.04.010
  17. 2016_Technical Roadmap Strategy Report for Small and Medium Business_09_safety of living.
  18. J. M. Seo, H. H. Ho, I. K. Jang, and S. M. Lee, "Parking Management System Using Automatic Identification of the Number Plate," Korea Multi Media Association, Journal of the Korea Multi Media Association, pp. 494-497, May 2008.
  19. H. M. Jang, D. J. Son, and Y. G. Kim, "Parking control program in IBS building," Journal of AIK Conference, pp. 465-468, Nov. 2011.
  20. S. H. Lee, J.W. Park, and M. S. Kang, "Design of Parking Management System using RFID and USN based Smartphones," Korean Electronic Engineering Association, pp.1826-1829, Jun. 2012.
  21. H. S. Lee, "The Concept and Policy Trends of Smart City," Convergence Research Policy Center, Vol.84, Aug. 2017.
  22. J. Y. Lee and H. S. Sagong, "Trends and Implications of Smart Cities," National Territory Policy Brief, Vol.529, pp.1-8, Aug. 2015.
  23. J. Y. Lee, "The Direction and Strategy of Smart City Policy," National Institute of Land, Infrastructure and Technology Seminar, Monthly Transport, Vol.228, pp.6-12, Feb. 2017.
  24. S. H. Lee, J. W. Park, and B. H. Kim, "Parking Information Service System Using Deep Learning-Based Image Recognition," Korea Computer Information Association Journal of KCIS, Vol.23, No.2, pp.19-22, Jul. 2015.
  25. "2017 Smart City Service Catalog," Korea Regional Information Development Institute, May 2017.
  26. S. H. Park and J. Yoo, "Design of IoT-based parking management system," Journal of Information and Control / Information And Control Symposium, pp.156-159, Apr. 2017.
  27. S. Kubler, J. Robert, and A. Hefnawy, "IoT-based Smart Parking System for Sporting Event Management," International Conference on Mobile and Ubiquitous Systems. pp.104-114, Dec. 2016.
  28. K. Zheng, S. Zhao, Z. Yang, X. Xiong, and W. Xiang, "Design and Implementation of LPWA-Based Air Quality Monitoring System," IEEE Access, Vol.4, No.1, pp.3238-3245, Jul. 2016. https://doi.org/10.1109/ACCESS.2016.2582153
  29. S. He, J. Chen, X. Li, X. S. Shen, and Y. Sun, "Mobility and intruder prior information improving the barrier coverage of sparse sensor networks," IEEE Transactions Mobile Computing, Vol.13, No.6, pp.1268-1282, Jun. 2014. https://doi.org/10.1109/TMC.2013.129
  30. IEEE Standard for Local and Metropolitan Area networks Part 15.4:Low-Rate Wireless Personal Area Networks (LR-WPANs) Amendment 5:Physical Layer Specications for Low Energy, Critical Infrastructure monitoring Networks, IEEE Standard 802.15.4k-2013, Aug. 2013.
  31. Ultra Low Power Micorcontroller Specfication, http://www.st.com/en/microcontrollers/stm32l475vg.html.
  32. LoRa Device Development Guide, [Internet], https://www.sktiot.com/iot/developer/guide/guide/loRa/menu_01/page_02.
  33. LoRa IoT Station(Kerlink) [Internet], https://inbusiness-ict.nl/media/wysiwyg/2016-08-18_11_26 55-Start.png.