首页> 外文会议>International Symposium on Autonomous Decentralized Systems >Proposal of an autonomous group-management model and its application to intelligent transport system
【24h】

Proposal of an autonomous group-management model and its application to intelligent transport system

机译:自治群体管理模式的提议及其在智能运输系统中的应用

获取原文

摘要

We propose an autonomous group-management model where each node autonomously judges whether to work with other nodes and dynamically forms a group to complete a requested job. This model was developed for mobile systems that consist of mobile terminals and base stations (BSs). The BSs are connected by a network and each BS judges if it should form a group with other BSs based on their physical locations and the type of job without relying on direction from the other BSs. Therefore, each BS is "autonomous". The BSs dynamically form local groups without any centralized manager share information, and complete a job, so this system is well suited to highly distributed systems where high performance is necessary. An intelligent transport system (ITS) is a typical application that matches this model. Various information is provided front BSs to moving cars in an ITS. Such a system will cover a wide area (all of Japan) and will include a huge number of BSs. High performance is required because many cars move at high-speed. We applied our proposed model to a smart gateway (SG) system - one of the ITSs promoted by the Telecommunication Advancement Organization of Japan. We developed a new type of BS according to this model and installed a series of such BSs along roads for our evaluation of the system.
机译:我们提出了一种自主组管理模型,其中每个节点自主地判断是否与其他节点一起使用并动态地形成组以完成所请求的作业。该模型是为移动终端和基站(BSS)组成的移动系统开发的。 BSS由网络连接,每个BS判断如果它应该基于其物理位置和作业类型与其他BSS形成组,而无需依赖于来自其他BS的方向。因此,每个BS是“自主”。 BSS在没有任何集中管理器共享信息的情况下动态形成本地组,并完成作业,因此该系统非常适合高性能的高度分布式系统。智能传输系统(其)是符合此模型的典型应用程序。各种信息被提供前BSS以移动汽车。这样的系统将涵盖广泛的区域(日本全部),并将包括大量的BSS。需要高性能,因为许多汽车以高速移动。我们将拟议的模型应用于智能网关(SG)系统 - 日本电信进步组织促进的型号之一。我们根据该模型开发了一种新型的BS,并沿着道路安装了一系列这样的BS,以获得对系统的评估。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号