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首页> 外文期刊>International Journal of Innovative Computing Information and Control >USING THE MIMO MECHANISM TO INTEGRATE VEHICLE INFORMATION PROCESS SYSTEMS IN VEHICULAR NETWORKS
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USING THE MIMO MECHANISM TO INTEGRATE VEHICLE INFORMATION PROCESS SYSTEMS IN VEHICULAR NETWORKS

机译：利用MIMO机制在车辆网络中集成车辆信息处理系统

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摘要

This paper presents dynamic vehicle information for wireless communication and safe systems by integrating radio frequency identification (RFID) technology. These systems are able to derive advantages from integrating RFID with other recognition technologies. The car black box is the best and the most innovative choice for this specific application. This black box can not only protect car, but is also able to recognize events that cause car accidents. The contents of the black box include the RFID, the general packet radio service (GPRS), Bluetooth services, a personal digital assistant (PDA) and a global positioning system (GPS). The proposed system has become increasingly popular with the advent of digitization in terms of merging multiple databases together, therefore, creating a tremendous amount of commercial opportunities. The car black box also possesses the ability to connect multiple users to a singular real-time navigation information system. This navigation information system integrates the independent realtime traffic information database and Geographical Information System (GIS) through the data fusion method. We adopted a traffic information system offering advanced personalized route planning, including added services for alerting motorists to traffic jams by means of the Short Message Service (SMS) through Global System for Mobile (GSM) communication networks. We have used small and low-cost GSM modules for data processing via the Multiple Input Multiple Output (MIMO) ant colony optimization (ACO) algorithm, which have since been developed into a real-time software solution to help users and evaluate their preferences when making use of the car traffic information system.
机译：本文通过集成射频识别（RFID）技术，提出了用于无线通信和安全系统的动态车辆信息。这些系统能够通过将RFID与其他识别技术集成而获得优势。汽车黑匣子是针对此特定应用的最佳和最具创新性的选择。这个黑匣子不仅可以保护汽车，还可以识别导致车祸的事件。黑匣子的内容包括RFID，通用分组无线服务（GPRS），蓝牙服务，个人数字助理（PDA）和全球定位系统（GPS）。随着数字化的到来，在将多个数据库合并在一起方面，所提出的系统变得越来越流行，因此，创造了巨大的商业机会。汽车黑匣子还具有将多个用户连接到单个实时导航信息系统的能力。该导航信息系统通过数据融合方法将独立的实时交通信息数据库和地理信息系统（GIS）集成在一起。我们采用了一种交通信息系统，该系统提供先进的个性化路线规划，包括通过全球移动系统（GSM）通信网络通过短消息服务（SMS）提醒驾驶员注意交通拥堵的服务。我们已使用小型低成本GSM模块通过多输入多输出（MIMO）蚁群优化（ACO）算法进行数据处理，此算法已开发成实时软件解决方案，可帮助用户并评估他们的偏好。利用汽车交通信息系统。

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    Gwo-Jia Jong; Yin-Chih Chen; Peng-Liang Peng; Gwo-Jiun Horng;

  • 作者单位

    Department of Electronic Engineering National Kaohsiung University of Applied Sciences No. 415, Chien Kung Rd., Sanmin District, Kaohsiung 80778, Taiwan;

    Department of Electronic Engineering National Kaohsiung University of Applied Sciences No. 415, Chien Kung Rd., Sanmin District, Kaohsiung 80778, Taiwan;

    Department of Electronic Engineering National Kaohsiung University of Applied Sciences No. 415, Chien Kung Rd., Sanmin District, Kaohsiung 80778, Taiwan;

    Department of Electronic Engineering National Kaohsiung University of Applied Sciences No. 415, Chien Kung Rd., Sanmin District, Kaohsiung 80778, Taiwan;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    vehicle; rfid; gprs; mimo; aco;

    机译：车辆;rfid;gprs;mimo;aco;

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