A Tracking System Supporting Large-Scale Users Based on GPS and G-Sensor

Author:

Zeng Jun1,Li Minbo12,Cai Yuanfeng1

Affiliation:

1. Software School, Fudan University, Shanghai 201203, China

2. Shanghai Key Laboratory of Data Science, Fudan University, Shanghai 201203, China

Abstract

As the need for tracking objects in our daily life is increasing, how to take advantage of widely used technologies and devices to meet everyone's need is becoming a burning issue. To achieve this aim, a tracking system supporting large-scale users based on GPS and G-sensors (TSSLSU) is designed to track items by obtaining various pieces information of the item's states and analyzing various conditions. In this system, a microprocessor with Global Positioning System (GPS) modules embedded in target 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 vibration signals. The system designed a message protocol to encapsulate and send these data to servers and also adopted distributed architecture, including backend server cluster, cache queue cluster, database cluster, and web server cluster. This specific architecture provides a better performance when large-scale users visit concurrently. In particular, there are alarm mechanisms to inform the user of any illegal cases through smart phone application and power-saving mechanism for embedded terminal by changing the frequency of sending messages. At any time, user can locate it and query the carrier's previous path by web page or phone application.

Funder

SIM Technology Group Ltd.

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3