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International Conference on Computer communications and networks (ICCCN)

作者： Siguang Chen Chuanxin Zhao Meng Wu Zhixin Sun Jian Jin Department of Electrical and Computer Engineering The University of British Columbia Vancouver Canada Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China School of Electrical Engineering and Computing Curtin University Perth Australia

Since the temporal and spatial correlations of sensor readings are existent in wireless sensor networks (WSNs), this paper develops a clustered spatio-temporal compression scheme by integrating network coding (NC) and compressed sensing (CS) for correlated data. The proper selections of NC coefficients and measurement matrix are designed for this scheme. This design guarantees the reconstruction of clustered compression data successfully with an overwhelming probability and unifies the operations of NC and CS into real field successfully. Moreover, in contrast to other spatio-temporal schemes with the same computational complexity, the proposed scheme possesses lower reconstruction error by employing the independent encoding in each sensor node (including the cluster head nodes) and joint decoding in sink node. At the same time it has lower computational complexity as compared with JSM-based spatio-temporal scheme by exploiting the temporal and spatial correlations of original sensing data step by step. Finally, the simulation results verify that the clustered spatio-temporal compression scheme outperforms the other two compression schemes significantly in terms of recovery error and compression gain.

关键词： Correlation wireless sensor networks sensors Encoding Computational complexity Decoding Security

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An improved packet sending algorithm based on LTP in Delay Tolerant networks

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Journal of Computational Information Systems 2014年第12期10卷 5279-5286页

作者： Liu, Yan Wang, Kun Xu, Lili Yu, Yue Ouyang, Zhiyou College of Automation and Electrical Engineering Nanjing University of Technology Nanjing 210009 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing 210003 China

In DTN (Delay Tolerant networks), bundle and block shred data to cope with frequent interruption. However, it remains a problem of what impact will be generated on transmission efficiency by the size of bundle and block as well as how to achieve maximum efficiency by adjusting Bundle and block size in terms of environment. This paper focuses on Bundle and LTP (Licklider Transmission Protocol) in transmission layer of DTN and the impact of block size on transmission efficiency. Then a packet sending algorithm is proposed that dynamically varies its strategy to achieve the best transmission efficiency. Finally, simulation results illustrate the advantages of our proposed scheme. Meanwhile, selecting optimum size of block in proposed algorithm can increase the transmission efficiency. 1553-9105/Copyright © 2014 Binary Information Press.

关键词： Delay tolerant networks

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Mixed-norm subspace pursuit algorithm for compressed sensing in the presence of impulsive noise

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Journal of Computational Information Systems 2014年第13期10卷 5637-5648页

作者： Ji, Yunyun Yang, Zhen College of Communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing China

The subspace pursuit algorithm in compressed sensing cannot achieve desirable reconstruction performance in the presence of impulsive noise based on the fact that the support detection and least squares are not robust to the impulsive noise. And then we propose a mixed-norm subspace pursuit algorithm to achieve sparse reconstruction in the impulsive noise environment. The mixed-norm subspace pursuit algorithm takes advantage of mutual influence of two different residuals to iteratively improve the performance of support detection and measurement set detection. It has significant characteristics: effectiveness in additive Gaussian white noise environment and robustness to impulsive noise, which have been verified by theoretical and experimental results. © 2014 by Binary Information Press

关键词： Compressed sensing

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Robust energy-efficient power loading for MIMO system under imperfect CSI

Robust energy-efficient power loading for MIMO system under ...

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作者： Rui, Yun Deng, Lei Wang, Qian Li, Jing Qian, Guoming Li, Mingqi Wang, Yingguan Shanghai Advanced Research Institute National Mobile Communications Research Laboratory Southeast University 201210 China Department of Information Engineering Chinese University of Hong Kong Hong Kong999077 Hong Kong School of Computer Science Wuhan University 430072 China State Key Laboratory of Integrated Service Networks Xidian University 710075 China College of Electronic Science and Engineering in NUPT 210003 China Shanghai Advanced Research Institute Chinese Academic of Science 201210 China Key Lab of Wireless Sensor Network and Communications Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences 201210 China

In this paper, we will investigate the energy efficient power loading problem in multipleinput multiple-output singular value decomposition (MIMO-SVD) architecture. Most existing power loading schemes are developed on the assumption that a scheduler possesses perfect channel state information (CSI). However, in practice, perfect CSI is not always available. In this paper, we propose an energy-efficient power loading scheme for MIMO system under imperfect CSI, taking into account the effects of channel estimation error (CEE). Specifically, we propose two algorithms to maximise the system energy efficiency. One is a global method which can achieve the global optimal solution with high computational complexity;the other is a suboptimal method which can obtain the approximate optimal solution with lower computational complexity. Simulation results validate the effectiveness and robustness of our proposed power loading scheme. Copyright © 2015 Inderscience Enterprises Ltd.

关键词： MIMO systems

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Access control & temperature and humidity systems based on distributed parallel processing

Access control & temperature and humidity systems based on d...

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2014 International Conference on Frontiers of Advanced Materials and Engineering technology, FAMET 2014

作者： Wang, Xun Zhang, Ling Hua Xu, Yuan Wu Key Lab on Wideband Wireless Communications and Sensor Network Technology of Ministry of Education China Jiangsu Key Lab of Wireless Communications College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 China

ISBN: (纸本)9783038350774

Smart home includes an access control system, temperature and humidity system etc. Each system includes different terminals and each terminal is equipped with different sensors. sensor senses its surroundings and generates enormous amounts of data. With the increasing number of users, it will generate vast amounts of data. As the traditional method of massive data processing has shortcomings of high cost in hardware and has developed to a bottleneck of calculation, a data processing platform based on distributed parallel processing is intended for the access control system, temperature and humidity system. It effectively solves problems in cost and bottleneck of calculation. © (2014) Trans Tech Publications, Switzerland.

关键词： Control systems

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An improved DV-Hop positioning algorithm for wireless sensor network

An improved DV-Hop positioning algorithm for wireless sensor...

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IEEE International Conference on Progress in Informatics and Computing (PIC)

作者： Jiuhu Zheng Huanyan Qian Lie Wang School of Information Technology Jiangsu Institute of Commerce Nanjing Jiangsu China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing Jiangsu China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing Nanjing Jiangsu China National Mobile Communications esearch Laboratory Southeast University Nanjing Jiangsu China Ministry of Education Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications) Nanjing Jiangsu China

In the view of the DV-Hop positioning algorithm which relies on the distance vector and beacon nodes, several aspects are improved: the average hop distance and hop count are corrected; a method to detect the abnormal distribution of beacon nodes is used to avoid the influence of the abnormal distribution on the positioning performance. The proposed algorithm is simple and effective. Simulation results show that compared with the traditional DV-Hop algorithm, the performance of the proposed algorithm is greatly improved. The performance is even even superior to that of the algorithm mentioned in literature [10].

关键词： wireless sensor networks Mobile communication Hardware Maximum likelihood estimation Mathematical model Computer science broadband communication

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Lorentzian hard thresholding pursuit for compressed sensing in the presence of impulsive noise 4

Lorentzian hard thresholding pursuit for compressed sensing ...

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2014 4th IEEE International Conference on Information Science and technology, ICIST 2014

作者： Yun-Yun, Ji Zhen, Yang College of Communications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing Jiangsu Province210003 China Key Lab of 'Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing Jiangsu Province210003 China

ISBN: (纸本)9781479948086

The Lorentzian hard thresholding pursuit algorithm is proposed in this paper to achieve efficient reconstruction for compressed sensing in the presence of impulsive noise. In the Lorentzian hard thresholding pursuit algorithm, the minimum LL2 norm problem is solved with respect to a support which is obtained through the hard thresholding operator. The convergence and reconstruction performance of the Lorentzian hard thresholding pursuit algorithm is proved in theory in this paper. Experimental results show that the reconstruction performance of the Lorentizian hard thresholding pursuit algorithm is superior to the Lorentzian iterative hard thresholding algorithm which is also an effective algorithm for sparse reconstruction of compressed sensing in the impulsive noise environment. © 2014 IEEE.

关键词： Cost functions

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Preparation of biomedical Ag incorporated hydroxyapatite/titania coatings on Ti6Al4V alloy by plasma electrolytic oxidation

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Chinese Physics B 2014年第3期23卷 427-434页

作者：周澜吕国华毛菲菲杨思泽 College of Mathematics & Physics Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Institute of Physics Chinese Academy of Sciences Department of Oral and Maxillofacial Surgery Interdisciplinary LaboratoryPeking University School of Stomatology Fujian Key Laboratory for Plasma and Magnetic Resonance Department of AeronauticsSchool of Physics and Mechanical & Electrical Engineering Xiamen University

Nano-Ag incorporated hydroxyapatite/titania （HA/TiO2） coatings were deposited on Ti6A14V substrates by the plasma electrolytic oxidation process. Compared with the substrate, the deposited coatings display attractive mechani- cal and biomedical properties. First, the coatings have stronger wear resistance and corrosion resistance. Second, they show a strong antibacterial ability. The mean vitality of the P. gingivalis on the coating surfaces is reduced to about 21%. Third, the coatings have good biocompatibility. The mean viability of the fibroblast cells on the coating surface is increased to about 130%. With these attractive properties, Ag incorporated HA/TiO2 coatings may be useful in the biomedical field.

关键词： hydroxyapatite corrosion resistance antibacterial ability biocompatibility

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Compressive wideband spectrum sensing in CRNS under primary user emulation attack 10

Compressive wideband spectrum sensing in CRNS under primary ...

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10th International Conference on wireless communications, networking and Mobile Computing, WiCOM 2014

作者： Cao, K.T. Shao, H.Q. National Mobile Communications Research Laboratory Southeast University Nanjing China Key Lab of Broadband Wireless Commun. and Sensor Network Technology of the State Education Ministry Nanjing University of Posts and Telecommunications Nanjing China College of Software Beihang University Beijing China

ISBN: (纸本)9781849198455

Spectrum sensing in a wideband regime for cognitive radio network (CRN) faces considerably technical challenge due to the constraints on ADCs, especially in the presence of primary user emulation attack (PUEA) where some malicious users try to impersonate the primary user (PU) to prevent other secondary users (SUs) from accessing the idle spectrum. To address this issue, an eigenvalue-based compressive wideband spectrum sensing (ECWSS) scheme is proposed in this paper. ECWSS directly utilizes the compressive measurements based on compressive sampling (CS) theory to perform wideband spectrum sensing without requiring signal recovery. In ECWSS, the sensors around a SU carry out compressive sampling at the sub- Nyquist rate instead of the SU. Furthermore, the exact probability density function of extreme eigenvalues is used to set the threshold. Theoretical analysis and simulation results show that compared to the traditional sensing scheme, ECWSS has better detection performance and is more robust in the existence of PUEA.

关键词： Compressed sensing

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C-PESA: An improved comentropy-based PESA algorithm

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2012 International Conference on Electrical and Electronics Engineering, ICEE 2012

作者： Wang, Kun Wang, Linlin Zhang, Yuhua Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing 210003 China College of Overseas Nanjing University of Posts and Telecommunications Nanjing 210003 China

ISBN: (纸本)9781461449805

To solve the increasing complexity with the growth of solution sets number in PESA, we present a comentropy-based PESA algorithm (C-PESA), which is an evolutionary algorithm of multi-objective optimization. In C-PESA, the gradual development and maturity of the solution sets can be observed with the continuous calculation of entropy values. This determines whether to stop the optimization process, and accordingly simplifies the run-time complexity of the algorithm to a certain degree. Simulation results show that the calculation amount of C-PESA increases linearly with the increasing number of population, and the efficiency of evolutionary algorithm also improves. © 2014 Springer Science+Business Media New York.

关键词： Evolutionary algorithms

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