泛在网络环境下移动性预测方法的挑战及关键思想

doi:10.3969／j.issn.1000-0801.2013.11.011

电信科学 ›› 2013, Vol. 29 ›› Issue (11): 66-71.doi: 10.3969／j.issn.1000-0801.2013.11.011

泛在网络环境下移动性预测方法的挑战及关键思想

田洁¹,赵季红^1,²,曲桦¹

¹ 西安交通大学西安710049
² 西安邮电大学西安710061

出版日期:2013-11-20 发布日期:2017-07-04
基金资助:
国家自然科学基金资助项目;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;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;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

Challenges and Solutions of Mobility Prediction Technology in Ubiquitous Network

Jie Tian¹,Jihong Zhao^1,²,Hua Qu¹

¹ Xi'an Jiaotong University, Xi'an 710049, China
² Xi'an University of Posts ＆ Telecommunications, Xi'an 710061, China

Online:2013-11-20 Published:2017-07-04

摘要/Abstract

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。

关键词: 泛在网, 协同服务, 移动性预测

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.

Key words: ubiquitous network, cooperative service, mobility prediction

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.

图/表 4

参考文献 13

1	张平，纪阳，冯志勇．移动泛在网络环境．中兴通讯技术， 2007（2）:58～62
2	Wolfson O , Xu B , Chamberlain S , et al. Moving objects databases: issues and solutions. Proceedings of the Tenth International Conference on Scientific and Statical Database Management, Capri, Italy, 1998
3	Tao Y F , Faloutsos C , Papadias D , et al. Prediction and indexing of moving objects with unknown motion patterns. Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data, Pairs, Franch, 2004
4	Akyildiz I F , Wang W Y . The predictive user mobility profile framework for wireless multimedia networks. IEEE/ACM Transactions on Networking（TON）, 2004,12（6）: 1021～1035
5	Wee-Seng S , Kim H S . QoS provisioning in cellular networks based on mobility prediction techniques. Communications Magazine, 2003,41（1）: 86～92
6	Jeong T Y , Han S C , Song Y S , et al. Mobility prediction modeling and analysis for people in mobile wireless network. Proceedings of the 5th International Conference on Ubiquitous Information Technologies and Applications（CUTE）, Sanya, China, 2010
7	Chen C M , Pi D C , Fang Z R . Artificial immune algorithm applied to short-term prediction for mobile object location. Electronics Letters, 2012,48（17）: 1061～1062
8	Tan C G , Chen S Q , Gong X X . Steady routing protocol with prediction in mobile Ad Hoc networks. Min-micro Systems, 2007（1）
9	Jin L , Li L Y , Zhu X Y . A multi-constraint QoS routing protocol with route-request selection based on mobile predicting in MANET. Proceedings of CISW 2007 International Conference on Computational Intelligence and Security Workshops, Harbin, China, 2007
10	Yu M , Malvankara A , Sub W , et al. A link availability-based QoS-aware routing protocol for mobile Ad Hoc sensor networks. Computer Communications, 2007,30（18）: 3823～3831
11	Xiao B L , Guo W , Liu J , et al. Pseudo gossip routing algorithm based link stability in mobile Ad Hoc networks. Journal on Communications, 2008,29（6）: 26～33
12	Chen J K , Chen C , Jan R H , et al. Expected link life time analysis in MANET under manhattan grid mobility model. Proceedings of the 11th International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Vancouver, British Columbia, Canada, 2008
13	Li H Z , Mukesh S H . ABRP: anchor-based routing protocol for mobile Ad Hoc networks. Wireless Personal Communications, 2007,42（2）: 277～300

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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

Challenges and Solutions of Mobility Prediction Technology in Ubiquitous Network

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