检索结果-内蒙古大学图书馆

Secure routing protocol based on probability in sensor networks

Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University 2011年第6期38卷 1-7页

作者： Tang, Di Yang, Xiaoniu Li, Jiandong State Key Lab. of Integrated Service Networks Xidian Univ. Xi'an 710071 China National Lab. of Information Control Tech. for Communication System Jiaxing 314033 China

In wireless sensor networks, the traditional intrusion detection can not detect the compromised nodes immediately. In this paper, we propose a secure routing protocol (Secure Relay Grid Routing Protocol) based on probability prediction to solve this problem. In the protocol, the network is divided into different small grids. Utilizing the geographic information and intrusion detection information, the proposed protocol is designed with a routing metric which is based on a mathematical prediction model. The routing metric could guarantee that the message detours those compromised grids that have not been detected by the intrusion detection. Theoretical analysis and OPNET simulation results show that the proposed protocol can provide a high delivery ratio and decrease the number of the compromised packets.

关键词： Intrusion detection

来源：评论

学校读者我要写书评

暂无评论

A Fast Sparsity Adaptive Matching Pursuit Algorithm for Compressed Sensing

A Fast Sparsity Adaptive Matching Pursuit Algorithm for Comp...

引用

The 2011 International Conference on Automation and Robotics(ICAR 2011)

作者： Chun-hui Ma Chun-yun Xu Lei Shen Shi-lian Zheng Telecommunication School Hangzhou Dianzi University State Key Lab of Information Control Technology in Communication System of No.36 Research Institute China Electronic Technology Corporation

Sparsity adaptive matching pursuit algorithm(SAMP) is a compressed sensing signal reconstruction algorithm with good performance. However, as the support set expands one time, the backward pursuit should be processed for many times, in which redundant update calculations are included. To solve the problem, this paper presents a fast sparsity adaptive matching pursuit algorithm(FSAMP). During the operation of the FSAMP, the backward pursuit is performed only once when the support set expands. After the support set is fixed, the backward pursuit shall be executed for multi times to guarantee the reconstruction precision. Simulation results for signal reconstruction show that the FSAMP has the slight higher reconstruction precision and the much faster reconstruction speed compared with the SAMP.

关键词： compressed sensing subspace pursuit sparsity adaptive matching pursuit image processing

来源：评论

学校读者我要写书评

暂无评论

A novel method based on order statistics for extracting fingerprint of narrow band emitter

引用

Dianzi Yu Xinxi Xuebao/Journal of Electronics and information technology 2011年第5期33卷 1224-1228页

作者： Tang, Zhi-Ling Yang, Xiao-Niu Li, Jian-Dong School of Communication Engineering Xidian University Xi'an 710071 China School of Electronic Engineering and Automation Guilin University of Electronic Technology Guilin 541004 China National Key Lab of Information Control Technology for Communications System Jiaxing 314001 China

The static nonlinear feature of narrow band Radio Frequency Power Amplifier (RF PA) is made as the fingerprint of wireless communication emitter. RF PA with unknown input can be looked as a static nonlinear Hammerstein model. The process of feature extraction from this model is split into two steps. The first step is signal samples whitening and the second is the estimation of Taylor series' coefficients. The order statistics of the whitening signal samples is monotone. Then the features are estimated through linear regression using least square method. Comparing feature vectors of 4 RF power amplifiers results in that the proposed algorithm is effectively to identification different type of RF power amplifiers.

关键词： Power amplifiers

来源：评论

学校读者我要写书评

暂无评论

A New Variable Step Size NLMS Algorithm Based on Decorrelation for Second-Order Volterra Filter

A New Variable Step Size NLMS Algorithm Based on Decorrelati...

引用

The 2011 International Conference on Automation and Robotics(ICAR 2011)

作者： Zhijin Zhao Pingping Yan Lei Shen Telecommunication School Hangzhou Dianzi University State Key Lab of Information Control and Security Technology in Communication of No.36 Research Institute China Electronic Technology Corporation

When the input signals are strongly correlated, the adaptive algorithm performance of Volterra filter deteriorates. Meanwhile, the correlativity of linear input signals of Volterra filter is different from that of nonlinear input signals of Volterra filter. So, a new variable step size NLMS algorithm based on decorrelation for second-order Volterra filter is proposed. In the new algorithm, the decorrelation is used in linear and nonlinear input signals of Volterra filter, respectively, and the different variable step factors are adopted. Simulation results of noise cancellation show that the correlativity of input noises has no fundamental impact on the proposed algorithm, whether it is strong or weak. And when the input noises are strongly correlated, the new algorithm still has a better noise cancellation performance.

关键词： second-order Volterra filter decorrelation normalized LMS noise cancellation

来源：评论

学校读者我要写书评

暂无评论

Hybrid information retrieval policies based on cooperative cache in mobile P2P networks

引用

中国高等学校学术文摘·计算机科学 2009年第3期3卷 381-395页

作者： Quanqing XU Hengtao SHEN Zaiben CHEN Bin CUI Xiaofang ZHOU Yafei DAI State Key Lab for Advanced Optical Communication System & Networks Peking University Beijing 100871 China School of Information Technology and Electrical Engineering The University of Queensland Brisbane Australia

The concept of Peer-to-Peer (P2P) has been in-troduced into mobile networks, which has led to the emer-gence of mobile P2P networks, and originated potential ap-plications in many fields. However, mobile P2P networks are subject to the limitations of transmission range, and highly dynamic and unpredictable network topology, giving rise to many new challenges for efficient information retrieval. In this paper, we propose an automatic and economical hybrid information retrieval approach based on cooperative cache. In this method, the region covered by a mobile P2P network is partitioned into subregions, each of which is identified by a unique ID and known to all peers. All the subregions then constitute a mobile Kademlia (MKad) network. The pro-posed hybrid retrieval approach aims to utilize the flooding-based and Distributed Hash Table (DHT)-based schemes in MKad for indexing and searching according to the designed utility functions. To further facilitate information retrieval, we present an effective cache update method by considering all relevant factors. At the same time, the combination of two different methods for cache update is also introduced. One of them is pull based on time stamp including two different pulls: an on-demand pull and a periodical pull, and the other is a push strategy using update records. Furthermore, we provide detailed mathematical analysis on the cache hit ratio of our approach. Simulation experiments in NS-2 showed that the proposed approach is more accurate and efficient than the existing methods.

关键词： peer-to-peer (P2P) flooding mobile Kadem-lia hybrid information retrieval cache update cache con-sistency

来源：评论

学校读者我要写书评

暂无评论

A fast algorithm of the optimal smoothing scheme for transmitting stored video

A fast algorithm of the optimal smoothing scheme for transmi...

引用

IITA International Conference on control, Automation and systems Engineering

作者： Zilei Wang Hongsheng Xi Guo Wei Key Lab of network communication system and control Chinese Academy of Sciences University of science and technology of China (USTC) Dept. of electronic engineering and information science USTC

ISBN: (纸本)9781424445530

Minimum changes bandwidth allocation (MCBA) is an optimal video transmission scheme resulting in the minimum number of rate changes with the minimum peak rate, which can reduce renegotiation frequency in statistical multiplexing service. The existing MCBA algorithm with searching frontiers, however, has a high computational complexity, which depressed the applicability of MCBA. In this paper, we design a fast algorithm of MCBA that examines for the bounded point based on the convex envelopes of the overflow and underflow curve. As a result, our algorithm can work out an MCBA scheme in a shorter time because we can find the bounded point with a linear complexity, and calculate each transmission rate within several iterations. The simulation using real video traces confirmed the philosophy and efficiency of our algorithm.

关键词： Smoothing methods Bandwidth Streaming media Optimal control communication system control control systems Channel allocation Computational complexity Storage automation systems engineering and theory

来源：评论

学校读者我要写书评

暂无评论

A method for blind identification of uplink virtual MIMO signal

A method for blind identification of uplink virtual MIMO sig...

引用

3rd International Conference on Innovative Computing information and control, ICICIC'08

作者： Chen, Qinghua Xie, Xianzhong Zheng, Yi Institute of Personal Communication MII Key Lab of Mobile Communication Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China National Defense Key Lab of Telecommunication System Information and Control Technology Jiaxing 314033 China

ISBN: (纸本)9780769531618

This paper discusses system models of three types of signal in wireless communication, i.e. single user single antenna signal, virtual MIMO signal and single user MIMO signal. Based on the model, proposes a method for blind identification of uplink virtual MIMO signal by using the MUSIC algorithm to blindly estimate DOAs of the received signal. Simulation results show the feasibility of this method. This approach has important value in both theory and application for noncooperation communication environment. © 2008 IEEE.

关键词： Antennas

来源：评论

学校读者我要写书评

暂无评论

A technique for blind identification of uplink signals in multibeam smart antenna

A technique for blind identification of uplink signals in mu...

引用

4th Advanced International Conference on Telecommunications, AICT 2008

作者： Chen, Qinghua Xie, Xianzhong Institute of Personal Communication MII Key Lab of Mobile Communication Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China National Defense Key Laboratory of Telecommunication System Information and Control Technology Jiaxing 314033 China

ISBN: (纸本)9780769531625

In this paper, we construct signal modelings of four types of signals in wireless communication, i.e. single user single antenna signal, virtual MIMO signal, multibeam smart antenna signal and single user MIMO signal first , based on the model, propose a technique for blind identification of uplink signals in multibeam smart antenna by combining MUSIC algorithm with Forward-backward Spatial Smoothing algorithm to blindly estimate DOAs of these four types of signals, when the source signal is one of the four types. Simulation results show the feasibility of this technique. This paper has important value in both theory and application, especially in noncooperation communication environment. © 2008 IEEE.

关键词： Multiple signal classification

来源：评论

学校读者我要写书评

暂无评论

A method for blind identification of single user MIMO signal in step by step

A method for blind identification of single user MIMO signal...

引用

4th International Conference on Wireless and Mobile communications, ICWMC 2008

作者： Chen, Qinghua Xie, Xianzhong Institute of Personal Communication MII Key Lab. of Mobile Communication Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China National Defense Key Laboratory of Telecommunication System Information and Control Technology Jiaxing 314033 China

ISBN: (纸本)9780769532745

This paper constructed signal models of four types of signal in wireless communication, i.e. single user MIMO signal, single user single antenna signal, virtual MIMO signal and multibeam smart antenna signal first, and then proposed a method for blind identification of single user MIMO signal in step by step in noncooperation communication, when the unknown source was one of the four types by using MUSIC algorithm and Forward-backward Spatial Smoothing algorithm to blindly estimate DOAs of the received signal in the first two steps, and use blind channel estimation in the third step. Simulation results show the feasibility of this method. There has not been any published literature reporting research results about this topic yet, so the results of this paper is of important value in both theory and application. © 2008 IEEE.

关键词： Multiple signal classification

来源：评论

学校读者我要写书评

暂无评论

Research on stochastic comb-pilot design for NC-OFDM system

Research on stochastic comb-pilot design for NC-OFDM system

引用

2008 International Conference on Wireless communications, Networking and Mobile Computing, WiCOM 2008

作者： Xuetao, Dong Xianzhong, Xie Institute of Personal Communication MII Key Lab on Mobile Communication CQUPT Chongqing 400065 China National Defense Key Laboratory of Telecommunication System Information and Control Technology NO.36 Institute of CETC Jiaxing 314033 China

ISBN: (纸本)9781424421084

NC-OFDM is OFDM-based spectrum pooling technique and also a transmission mode of cognitive radio. The paper models and analyzes NC-OFDM stochastic process, then designs stochastic comb-pilot pattern and analyzes its characteristics in detail. At the end of the paper simulation results prove the feasibilities of the stochastic comb-pilot strategies in NC-OFDM system. © 2008 IEEE.

关键词： Orthogonal frequency division multiplexing

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：