基于多层多维的环境感知模型研究

doi:10.3969/j.issn.1000-0801.2013.03.014

摘要/Abstract

摘要：

在虚拟终端和异构融合网络的复杂环境下，结合多层次适配和多维度信息处理方法，提出了面向业务提供的环境感知模型。该模型能够有效地解决环境信息的处理问题并提供符合特定用户需求且现实可行的智能感知业务。多层次适配引入了多目标决策算法和主观及客观因素综合的权重，而多维度处理提高了信息的智能性。模型在应用场景的部署充分证明了模型的现实可行性，同时仿真结果表明了此模型在满足用户需求和网络资源分配方面的优势以及多层适配算法的良好性能。

关键词: ：环境感知, 多层次适配, 多维度, 多目标决策

Abstract:

The context-aware mode1 based on mu1ti-1eve1 and mu1ti-dimension management was proposed for providing inte11igent and context-aware services demanded by the user despite the comp1ex environment of virtua1 termina1s and heterogeneous networks.Mu1ti-objective decision a1gorithm was created for mu1ti-1eve1 adaptation and subject and object factors were integrated into a suitab1e weight, whi1e mu1ti-dimension is a usefu1 too1 for improving the inte11igence of information.Its avai1abi1ity of imp1ementation in the rea1 wor1d was verified by the dep1oyment in the use case.Meanwhi1e, it was demonstrated that the mode1 cou1d satisfy the need of users and have an advantage in resource a11ocation by resu1ts of the simu1ation.

Key words: context-aware, mu1ti-1eve1 adaptation, mu1ti-dimension, mu1ti-objective decision

徐玉,徐明海,苏喜娟. 基于多层多维的环境感知模型研究[J]. 电信科学, 2013, 29(3): 73-80.

Yu Xu,Minghai Xu,Xijuan Su. Studyon Context-Aware Model Basedon Multi-Leveland Multi-Dimension[J]. Telecommunications Science, 2013, 29(3): 73-80.

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参考文献 12

1	ITU TD562. Advanced Multimedia Subsystem（AMS）Project Description, 2007
2	Gu T , Pung H K . Toward an OSGi-based infrastructure for context-aware applications. IEEE Pervasive Computer, 2004, 42 (5): 66～74.
3	Jang S , Woo W . Ubi-UCAM:a unified context-aware application model. Proceedings of CONTEXT‘03,LNAI, 2003, 41 (1): 89～178.
4	Sa1ber D , Dey A , Abowd G . The context toolkit:aiding the development of context-aware applications. Proceedings of ACM Conferenceon Human Factors Computer System, 1999: 41～434.
5	Zhu Jian , Keng Pung Hung , Oliya Mohammad , et al. Acontext realization framework for ubiquitous application with runtime support. IEEE Communicate Magazine, 2011, 49 (9): 132～146.
6	Ba1adron Carlos , Aguiar Javier M , ACarro Belen , et al. Framework for intelligent service adaptation to user's context in next generation networks. IEEE Communicate Magazine, 2012, 50 (3): 18～25.
7	Oh Yoosoo , Han Jonghyun , Woo Woontack . A context management architecture for large-scale smart environments. IEEE Communicate Magazine, 2010, 48 (3): 118～126.
8	Huebscher Markus C , McCann Julie A . Adaptive middleware for context-aware application in smart-homes. Toronto:2nd Workshop on Middleware for Pervasive and Ad-Hoc Computing, 2004
9	Wang X H . Ontology based context modeling and reasoning using OWL. Proceedings of 2nd IEEE Annual Conferenceon Pervasive Computing and Communication Workshops, 2004 (3): 18～22.
10	秦永元，张洪钺，汪叔华 . 卡尔曼滤波与组合导航原理. 北京：西北工业大学出版社， 1998
11	Ba1do Nico1a , Zorzi Michele . Fuzzy logic for cross-layer 11 Baldo Nico1a，Zorzi Michele. Fuzzy logic for cross-layer optimization in cognitive radio networks. IEEE Communications Magazine, 2008, 46 (4): 64～71.
12	李军 . 异构无线网络融合理论与技术实现. 北京：电子工业出版社， 2009

	所在层次	参数名称	隶属维度	数据类型	决策权重
网络侧	Wi-Fi	业务价格	精确，慢变，现实	0.2元/h	w=f_inte（p,q）
		连接时延	模糊，快变，现实	15 ms
		可用带宽	模糊，快变，现实	38 kbit/s
		RSS	模糊，快变，现实	-100～0 dBm
	UMTS	业务价格	精确，慢变，现实	0.03元/KB
		连接时延	模糊，快变，现实	167 ms
		可用带宽	模糊，快变，现实	30 kbit/s
		RSS	模糊，快变，现实	-110～-50 dBm
终端侧	智能手机	位置坐标	精确，慢变，现实	三牌楼	w=f_inte（p,q）
		链路时延	模糊，快变，现实	1.5～9 s
		分组丢失率	模糊，快变，现实	＜3%
	iPad	位置坐标	精确，慢变，现实	南京邮电大学
		链路时延	模糊，快变，现实	150～300 ms
		分组丢失率	模糊，快变，现实	3%～5%
用户侧		用户喜好	精确，慢变，现实	各层次同等重视	w=f_inte（p,q）
业务侧		会话类QoS	精确，慢变，现实	时延＜100 ms	w=f_inte（p,q）
		流类QoS	精确，慢变，现实	差错率最高，时延＜280 ms
		交互类QoS	精确，慢变，现实	分组丢失率低
		背景类QoS	精确，慢变，现实	分组丢失率低

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