泛在网络环境下移动性预测方法的挑战及关键思想

田洁; 赵季红; 曲桦

doi:10.3969／j.issn.1000-0801.2013.11.011

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泛在网络环境下移动性预测方法的挑战及关键思想

综述 | 更新时间：2024-06-05

- 泛在网络环境下移动性预测方法的挑战及关键思想
- Challenges and Solutions of Mobility Prediction Technology in Ubiquitous Network
- 电信科学 2013年29卷第11期页码：66-71
- 作者机构：
  
  1. 西安交通大学西安710049
  2. 西安邮电大学西安710061
- 作者简介：
  
  [ "田洁，女，西安交通大学硕士研究生，主要研究方向为泛在网技术与应用" ]
  [ "赵季红，女，博士，西安邮电大学教授，主要研究方向为新一代宽带无线通信技术。" ]
  [ "曲桦，男，博士，西安交通大学教授，主要研究方向为新一代宽带无线通信技术。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61071126);国家科技重大专项“新一代宽带无线移动通信网”基金资助项目(2011ZX03005-004);国家科技重大专项“新一代宽带无线移动通信网”基金资助项目(2012ZX03001029-003);国家科技重大专项基金资助项目;National Science ＆ Technology Major Project(2012ZX03001008-003)
- DOI：10.3969／j.issn.1000-0801.2013.11.011
  中图分类号：
- 网络出版日期：2013-11，
  
  纸质出版日期：2013-11-20
- 稿件说明：
移动端阅览
田洁, 赵季红, 曲桦. 泛在网络环境下移动性预测方法的挑战及关键思想[J]. 电信科学, 2013,29(11):66-71.

Jie Tian, Jihong Zhao, Hua Qu. Challenges and Solutions of Mobility Prediction Technology in Ubiquitous Network[J]. Telecommunications science, 2013, 29(11): 66-71.
田洁, 赵季红, 曲桦. 泛在网络环境下移动性预测方法的挑战及关键思想[J]. 电信科学, 2013,29(11):66-71. DOI： 10.3969／j.issn.1000-0801.2013.11.011.

Jie Tian, Jihong Zhao, Hua Qu. Challenges and Solutions of Mobility Prediction Technology in Ubiquitous Network[J]. Telecommunications science, 2013, 29(11): 66-71. DOI： 10.3969／j.issn.1000-0801.2013.11.011.

摘要

泛在网将个人通信、娱乐、业务应用等都融合在了一张网内，给用户带来了更丰富的业务体验。而移动化的泛在网将更加强调用户即使在移动的状态下，也能够无缝地获得无所不能、无所不包的服务，而移动性预测技术作为一种主动积极的基于位置的服务，同时面临了更多的挑战。在研究现有移动性预测的基础上，针对未来移动泛在网络的业务模式及需求，分析了在移动泛在网络环境下的移动预测应具备的特点及其研究方向。为了能够充分适用于移动泛在网络，提出了未来的移动性预测技术，需要解决网络异构性、终端协同性以及业务智能性对移动性预测技术带来的挑战。

Abstract

Ubiquitous network combines individual communication， entertainment and application services into asingle network. Thereby， users can enjoy more various business experiences. The mobile ubiquitous networkemphasizes that users are able to acquire various application services continuously when they are moving. Therefore，higher request of mobility prediction technology was put forward. Current mobility prediction technology wasresearched and the features of mobility prediction technology which belong to mobile ubiquitous network accordingto applications in future mobile ubiquitous network were analyzed. In order to be adapted by mobile ubiquitousnetwork sufficiently， the prediction of mobility presented need to solve the challenges brought by heterogeneity，terminal collaboration and intelligent application.

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references

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