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Improved virtual-force algorithm for 3D underwater wireless sensor networks based on different k-coverage requirements

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Ruan Jian Xue Bao/Journal of Software 2013年第SUPPL.1期24卷 88-97页

作者： Jiang, Xin Huang, Hai-Ping Dai, Xiao-Yan Wang, Ru-Chuan College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China

The research of 3D underwater sensors' coverage-control has great significance in rational allocation of underwater space resources, environment-aware & information-acquisition and the network survivability improvement. In the real world situation, the uneven coverage is always needed in the underwater detection region. The current studies focus on the conception of "Event-Driven" without paying enough attention to the diversity of k-coverage requirements of different 3D regions. This work concentrates on the optimizational deployment for Underwater sensor networks' (UWSNs) diverse k-coverage requirements of distinguished regions. Based on the model of "buoys, anchors, underwater sensors which are connected and communicated via a wired cable with their respective buoy", we study the low-boundary number of the sensors required by diversity of k-coverage, and develop a novel algorithm: k-ERVFA (k-Equivalent radius virtual force algorithm) as an improvement to the classic virtual-force algorithm (VFA). Compared with the VFA in our simulation, the new algorithm only loses 1.21%~3.89% of 1-coverage rate in the required 1-coverage region, but significantly improves the 2- and 3- coverage rate to 17.42%~44.3% and 28.95%~49.53% respectively in the corresponding required coverage regions. The improvement in k-coverage requirements illustrates the correctness and effectiveness of k-ERVFA. © 2013 ISCAS.

关键词： wireless sensor networks

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Research on network malicious code dendritic cell immune algorithm based on fuzzy weighted support vector machine

Research on network malicious code dendritic cell immune alg...

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6th China Conference of wireless sensor networks, CWSN 2012

作者： Li, Peng Wang, Ruchuan Zhou, Yanting Dai, Qiuyu College of Computer Nanjing University of Posts and Telecommunications Nanjing Jiangsu 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing Jiangsu 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Jiangsu Province Nanjing Jiangsu 210003 China College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing Jiangsu 210003 China

ISBN: (纸本)9783642362514

According to the significant impact on the accuracy rate of detection of current immune algorithms brought by incorrect classification of signal, it proposes network malicious code dendritic cell immune algorithm based on fuzzy weighted support vector machine. It summarizes and compares the pros and cons of the four methods, which are basic artificial intelligence immune algorithm, detection of unknown viruses based on immunity theory, malicious code immunity based on cryptography and automated intrusion response based on danger theory. It elaborates the process of the algorithm of the proposed immune algorithm, discusses a variety of input and output signals, gives the samples of the actual input signals, applies the coefficient of variation method to determine the values of the weights so as to enhance the discrimination ability of signal processing results, describes the principle and algorithm steps of fuzzy weighted support vector machine clustering method within immune algorithm proposed. By comparing the fuzzy aggregation before and after the immunization program experiments, it draws the conclusion that the proposed immune algorithm can optimize the input signal, fuzzy clustering the signal and the antigen, so as to bring down the number of immunization strategies and reduce the immune response time, as a result it improve the efficiency and performance of the immune system. © 2013 Springer-Verlag.

关键词： Cells

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A High Performance Frequency Offset Estimation Method for OFDM

A High Performance Frequency Offset Estimation Method for OF...

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International Conference on Intelligent System Design and Engineering Application (ISDEA)

作者： Donghua Zhang Lianrui Yu Peng Zhou Qiuyuan Huang Wei Chen Hubei Key Laboratory of Broadband Wireless Communication and Sensor Network School of Information Engineering Wuhan University of Technology Wuhan China

In this paper, we proposed a three-step frequency offset estimation method using a special training frame designed for cable channel in OFDM systems. By making use of the PN-sequence preambles of the training frame, the coarse frequency offset estimation is achieved by the two initial steps. In order to estimate fine frequency offset, we utilize quartic method to eliminate the influence of modulation on the payload data of the training frame. By configuring the three-step estimation neatly, the proposed method makes it possible to realize large span of frequency offset estimation even to half of the system bandwidth, and has high estimation precision. Simulations in AWGN and multipath channels proved the validity of this technique.

关键词： OFDM Estimation Frequency estimation Frequency modulation Training Noise Frequency division multiplexing

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An improved cognitive radio spectrum sensing algorithm

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Telkomnika - Indonesian Journal of Electrical Engineering 2013年第2期11卷 583-590页

作者： Zhang, Dengyin Li, Kuankuan Xiao, Li Key Lab of Broadband Wireless Communication and Sensor Network Technology China Nanjing University of Posts and Telecommunications Ministry of Education China School of Telecommunication Information Engineering China

To improve the cognitive radio user's detection performance and reduce the complexity, this paper composites the Fractal box dimension algorithm and the 3th-order cyclic-cumulate (TCC) algorithm and improves the TCC algorithm, so a novel detection algorithm is proposed that the Fractal box dimension is used when the signal to noise (SNR) is high, while the improved TCC algorithm is used when the SNR is low. This new algorithm not only avoids using TCC algorithm with high complexity when the channel environment is good, but also reduces the decision complexity of TCC algorithm. Simulation result shows that this algorithm obtains good detection performance with lower complexity than the traditional TCC algorithm. © 2013 Universitas Ahmad Dahlan.

关键词： Cognitive radio

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Resource allocation for wireless cooperative relaying networks with network coding

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Ruan Jian Xue Bao/Journal of Software 2013年第SUPPL.1期24卷 76-87页

作者： Ma, Xiao-Lin F.-M., Li X.-H., Liu School of Information Engineering Wuhan University of Technology Wuhan 430070 China Key Laboratory of Fiber Optical Sensing Technology and Information Processing Ministry of Education Wuhan 430070 China Hubei Key Laboratory of Broadband Wireless Communication and Sensor Network Wuhan 430070 China

This paper surveys the state-of-the-art researches of wireless cooperative relaying networks with network coding, investigates representative resource allocation strategies, and analyzes their features, performance and system requirements. It then discusses the effects of network coding, including digital network coding and physical network coding, in the design of resource allocation strategies for wireless cooperative relaying networks. As a result, a pragmatic system-level cross-layer optimization framework and associated core design principles are suggested. Finally, the future work of resource allocation for wireless cooperative relaying networks is presented, and some essential problems to be solved for final practical proposals are also addressed. © 2013 ISCAS.

关键词： network coding

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DAS: A Dynamic Assignment Scheduling Algorithm for Stream Computing in Distributed Applications

DAS: A Dynamic Assignment Scheduling Algorithm for Stream Co...

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IEEE Global communications Conference

作者： Kun Wang Yu Yue Bo Liu Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing 210003 China Department of Electronic Engineering Shanghai Jiaotong University Shanghai 200240 China.

ISBN: (纸本)9781479913510

Due to the unpredictability of continuous data in distributed applications, it is hard for system to deal with data explosion in limited time. As a result, traditional static data storage technology fails to meet the demands for real-time data processing. To improve processing ability, many parallel processing structures are proposed, which brings up the problem that how the parallel machines can be scheduled to maximize their efficiency. Accordingly, a dynamic assignment scheduling algorithm for stream computing is proposed and a stream query graph is built to calculate the weight of every edge. The edge with the minimum weight is selected to send tuples. Simulation results show that the proper number of the logic machines could dramatically reduce system response time. Furthermore, system context switching is reduced by increasing the number of tuples sent every time.

关键词： stream computing dynamic scheduling stream query graph distributed applications

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Trade-off between Delay and Bandwidth Utilization for Heterogeneous sensor networks

Trade-off between Delay and Bandwidth Utilization for Hetero...

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IEEE Globecom Workshops

作者： Jianxin Chen Liang Zhou Baoyu Zheng Jingwu Cui Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications

ISBN: (纸本)9781479928521

Heterogeneous wireless sensor network (HWSN) consists of sensor nodes with different ability, such as computing power and sensing range. Compared with homogeneous wireless sensor network, the design of protocols for such networks has to be more complex due to the energy constraint in order to prolong the lifetime of the network. As energy consumption mostly comes from the radio transmissions, bandwidth utilization affects the network lifetime greatly. In this paper, a novel lossless data aggregation scheme (Better-to-Fit) is presented for the clustering-based HWSN to improve the bandwidth utilization without introducing extra computation. The average performance is evaluated theoretically and validated by simulations. It has been found that the proposed aggregation technique can minimize the aggregation time under energy constraint and achieve promising efficiency in terms of bandwidth utilization.

关键词： wireless sensor network Heterogeneous traffic Data aggregation Bandwidth Utilization

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Fairness-oriented physical layer network coding in cooperative multiple access channels due to MRC and SIC

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The Journal of China Universities of Posts and Telecommunications 2012年第6期19卷 45-51页

作者： CHENG Yu-lun YANG Long-xiang Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and Telecommunications Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications

This paper investigates the impacts of network coding （NC） on user fairness from the network perspective in multiple access channels. Firstly, simultaneous outage is exploited as the metric to evaluate user fairness. To optimize it, a fairness-oriented physical layer NC scheme is proposed, in which users＇ signals are superimposed in specific calculated proportion at relay and then decoded by maximal ratio combination （MRC） and serial interference cancellation （SIC） at destination. Furthermore, the influence of power allocation coefficient error on simultaneous outage is also analyzed to reveal its correlation with user fairness. Simulation results indicate that the proposed scheme can supply approximately equal performance promotion for each cooperation-participated user and outperform those without fairness consideration in terms of the employed metric.

关键词： cooperative system user fairness simultaneous outage MRC SIC

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Novel Back-projection Framework for Single Image Super-Resolution

Novel Back-projection Framework for Single Image Super-Resol...

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2012 IEEE 11th International Conference on Signal Processing(ICSP 2012)

作者： Bin Zhao Zongliang Gan Yanbin Zhang Feng Liu Huanjuan Wang Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and Telecommunications

ISBN: (纸本)9781467321969

A novel back-projection framework for single image super-resolution is proposed in this paper. In our framework, the edge of the high-resolution image is firstly detected by the canny edge detection algorithm and the bilateral filtering algorithm, and the high-resolution image is divided into edge area and flat area. Then the edge area of the high resolution image is filtered by the adaptive kernel regression denoising algorithm in the iterative back-projection process. And the flat area of the high resolution image is reconstructed by the iterative back- projection method. Experimental results demonstrate that the proposed method can reconstruct high quality images in both the measure of objective quality and the subjective perception.

关键词： super-resolution iterative back-projection adaptive kernel regression denoising algorithm

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RESEARCH ON ADAPTIVE COMPRESSION CODING FOR network CODING IN wireless sensor network

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Journal of Electronics(China) 2012年第5期29卷 415-421页

作者： Liu Ying Yang Zhen Mei Zhonghui Kong Yuanyuan Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts & Telecommunications

Based on the sequence entropy of Shannon information theory, we work on the network coding technology in wireless sensor network (WSN). In this paper, we take into account the similarity of the transmission sequences at the network coding node in the multi-sources and multi-receivers network in order to compress the data redundancy. Theoretical analysis and computer simulation results show that this proposed scheme not only further improves the efficiency of network transmission and enhances the throughput of the network, but also reduces the energy consumption of sensor nodes and extends the network life cycle.

关键词： network coding wireless sensor network (WSN) Sequence similarity Sequence entropy

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