• DocumentCode
    3579695
  • Title

    An Anti-theft Electric Bicycle Tracking System Supporting Large-Scale Users

  • Author

    Jun Zeng ; Minbo Li ; Jia Liang

  • Author_Institution
    Software Sch., Fudan Univ., Shanghai, China
  • fYear
    2014
  • Firstpage
    9
  • Lastpage
    16
  • Abstract
    Electric bicycle is one of the most common transportation means in China. To improve the safety of the bicycles, an anti-theft electric bicycle tracking system (ATEBTS) for large-scale users was designed to track electric bicycles by obtaining various information of bicycles´ states and analyzing running conditions. In this system, a microprocessor with Global Positioning System (GPS) modules embedded in bicycles sends data in real-time through General Packet Radio Service (GPRS) and Global System for Mobile Communication (GSM), and an inner G-sensor can fetch real-time state information, such as acceleration and shaking signals. The system designed a message protocol to encapsulate and send these data to servers and also adopted distributed architecture, including Open Fire server cluster, cache queue cluster, database cluster and web server cluster. This specific architecture provides a better performance when large-scale users visit concurrently. To further improve query efficiency, relevant data are inserted into one single node in database indexed by the terminal serial number. With the increasing number of users, tables can be split into several tables according to different dates. And this system will provide services for more than 200 thousands users in Shandong Province this year.
  • Keywords
    Global Positioning System; bicycles; cellular radio; electric vehicles; embedded systems; microprocessor chips; packet radio networks; China; G-sensor; GPRS; GPS; GSM; Global Positioning System; Shandong Province; anti-theft electric bicycle tracking system; cache queue cluster; database cluster; general packet radio service; global system for mobile communication; large-scale users; microprocessor; open fire server cluster; query efficiency; web server cluster; Bicycles; Databases; GSM; Global Positioning System; Ground penetrating radar; Real-time systems; Servers; Anti-Theft; Large User; Open Fire; Tracking System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Identification, Information and Knowledge in the Internet of Things (IIKI), 2014 International Conference on
  • Type

    conf

  • DOI
    10.1109/IIKI.2014.10
  • Filename
    7063989