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检索条件"机构=Key Lab of Broadband Vireless Communication and Sensor Network Technology"

共 502 条记录，以下是171-180 订阅

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Distributed multi-sensor tracking in wireless networks using nonparametric variant of sum-product algorithm

Distributed multi-sensor tracking in wireless networks using...

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Asia-Pacific Conference on communications

作者： Wei Li Zhen Yang Haifeng Hu Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

Graphical models have been widely applied in solving distributed inference problems in wireless sensor networks (WSNs). In this paper, we formulate the distributed multi-sensor tracking problem in a WSN as an inference problem on a factor graph. Using particle filtering methods, we propose a nonparametric variant of sum-product algorithm (SPA), called sequential particle-based SPA (SPSPA), for factor graphs to infer the multi-sensor target states over time. In the proposed algorithm, importance sampling methods are used to sample from message products, and the computational complexity of SPSPA is thus linear in the number of particles. We apply the SPSPA to a distributed multi-sensor tracking problem, and evaluate its performance in terms of the measurement noise and the number of particles.

关键词： Wireless sensor networks Wireless communication Filtering Noise measurement

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A data placement strategy based on clustering and consistent hashing algorithm in cloud computing

A data placement strategy based on clustering and consistent...

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International Conference on communications and networking in China (CHINACOM)

作者： Qiang Li Kun Wang Suwei Wei Xuefeng Han Lili Xu Min Gao Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781479959716

To reduce time delay of processing data and improve the efficiency of cloud computing, a clustering algorithm based on the principle of minimum distance is proposed to place user-based and item-based data, update cluster centre and the threshold dynamically. Besides, consistent hashing is combined to solve the fault tolerance and scalability issues. In addition, Case-Based Reasoning (CBR) algorithm and item-based Coordination Filtering (CF) algorithms are used for filling sparse matrix to achieve better effect on the user-based clustering. Simulation results show that compared with data placement strategy based on K-means algorithm, this data placement strategy significantly improves clustering accuracy, greatly reduces delay of processing data and increases database scalability and redundancy, thereby improving the efficiency of cloud computing.

关键词： Clustering algorithms Servers Heuristic algorithms Delay effects Sparse matrices Scalability Cloud computing

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AN ID-based online/offline signature scheme without random oracles for wireless sensor networks

AN ID-based online/offline signature scheme without random o...

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作者： Wang, Zhiwei Chen, Wei College of Computer Nanjing University of Posts and Telecommunications Ministry of Education Jiangsu Province Nanjing 210003 Jiangsu China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003 Jiangsu China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Jiangsu Province Nanjing 210003 Jiangsu China

Online/offline signature schemes allow one to quickly compute a digital signature from a precomputed coupon. In this paper, we present an ID-based online/offline signature for wireless sensor networks (WSNs), which is based on Hohenberger' RSA signature (Crypto 09). We argue that due to significant reduction in costs of computation and storage, our scheme is particularly suitable for the WSNs environment with severely constrained resources. Our scheme can be proved secure under the factoring assumption without random oracles. © 2012 Springer-Verlag London Limited.

关键词： Wireless sensor networks

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Arbitrary-Oriented Ship Detection Based on Rotation Region Locating networks in Large Scale Remote Sensing Images

Arbitrary-Oriented Ship Detection Based on Rotation Region L...

引用

International Conference on Image, Vision and Computing (ICIVC)

作者： Xipeng Liu Jianxin Chen Bin Kang Xuguang Zhang Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781728123264

Although deep learning has dominated the ship detection domain, it still has two challenges: arbitrary-oriented densely arranged ships cause detection omissions and large scale image contains redundant areas. This paper proposes an effective convolutional neural network framework for arbitrary-oriented ship detection in large scale and complex scenes. In this framework, we propose Cumulative Feature Pyramid networks for multi-receptive-field feature fusion, which enhances high-level semantic information at all scales. Based on the outputs of Region Proposal networks, Rotation Region Locating network predicts rotation bounding box of arbitrary-oriented ships and adopts rotation intersection over union to avoid the effect of ship dense arrangement. For large scale scenes, No-Ship Area Suppression uses OTSU algorithm to generate binary mask and then filter out non-ship regions to reduce redundant computations. Additionally, we firstly build a remote sensing image dataset for ship detection, which contains 4237 images and over 21200 ships. Experimental comparisons with the state-of-the-art approaches validate the effectiveness, accuracy and robustness of the proposed method.

关键词： Remote sensing Ship detection Deep learning Feature fushion Rotation region proposal Ships remote sensing remote sensing images Scale formation Machine Learning

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The Dynamic Index Design of network Management Data on HBase

The Dynamic Index Design of Network Management Data on HBase

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2015 International Conference on Advanced Management Science and Information Engineering(AMSIE 2015)

作者： J.D.Yang C.S.Ren W.Mao D.Y.Zhang Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and TelecommunicationMinistry of Education

Aimed at the problems that data access delay and static index structure cannot meet the demand of frequent index update in the massive network management data,a dynamic index mechanism based on HBase and a special index table is designed in this *** key value of the table is comprised of key value and indexed column which come from original data,thus enforcing the map of the indexed column with the original *** address the problems in frequently adding and deleting data,an index update algorithm is established in which only changed data is *** results show that the index structure will be adjusted as the data is adding and deleting,rustling in the optimal search *** query efficiency based on the improved method raises 4.98 times in 100 thousand rows and 55.66 times in 1 million *** more the number of the rows increases,the more search efficiency obviously improves.

关键词： network management data HBase index

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Spatial Compression Scheme for Improving the Lifetime of Wireless sensor networks

Spatial Compression Scheme for Improving the Lifetime of Wir...

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2017 17th IEEE International Conference on communication technology (ICCT 2017)

作者： Jiasheng Zhou Siguang Chen Yuting Wang Weifeng Lu Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications

How to reduce the number of transmissions or prolong the lifetime of wireless sensor networks（WSNs） has become a research focus. Based on the spatial correlation of sensor readings, in this paper, we propose a spatial compression scheme for improving the lifetime of wireless sensor network to address this issue. This scheme can prolong the lifetime of network significantly by combing LEACH protocol and spatial compression. Meanwhile, the reconstruction precision of original data is high for exploring the spatial correlation of sensor readings fully. Moreover, based on the layered network architecture, the proposed scheme can improve the network loading by selecting the cluster head randomly. Finally, the simulation results confirm that the lifetime of the proposed scheme is longer than other related schemes, and the original data can be reconstructed with high precision.

关键词： wireless sensor networks LEACH protocol compressed sensing spatial compression lifetime

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Design and Optimization of Socket Mechanism for Services in Internet of Things

Design and Optimization of Socket Mechanism for Services in ...

引用

2013 22nd Wireless and Optical communication Conference

作者： Kun Wang Yuhua Zhang Yue Yu Yan Li Key Lab of Broadband Wireless Communication and Sensor Network Technology(Nanjing University of Posts and Telecommunications) Ministry of Education

ISBN: (纸本)9781467356985

It is necessary for a server oriented to the Internet of Things(IOT) applications to provide countless connections with efficient andreliable *** the communication layer should try to lower the *** a highly efficient design for a socket server with buffer pool and a thread pool for concurrent request on the IOT platform is *** reduces the system overhead and buffer usage to the largest extent while faced with a large number of connections and digital *** simulation shows that a socket server with a thread pool and buffer pool could lower the overhead on the context switch of threads as well as the I/O *** creates and destroys threads so as to energize the system.

关键词： IOT platform,thread pool,socket,modeling,optimization,simulation

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An improved binary PSO-based task scheduling algorithm in green cloud computing

An improved binary PSO-based task scheduling algorithm in gr...

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International Conference on communications and networking in China (CHINACOM)

作者： Lili Xu Kun Wang Zhiyou Ouyang Xin Qi Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781479959716

Cloud computing is experiencing a rapid development since a large amount of data need to be addressed. How to carry on the reasonable task scheduling plays a vital role in the efficiency of cloud computing. This paper proposes a green cloud task-scheduling algorithm (GCTA) based on the improved binary particle swarm optimization(BPSO). The main contribution of our work is avoiding matrix operations by using pipelined number for virtual machines and redefining the position and velocity of particle. Simulation shows that the proposed GCTA has less execution time, and reduces resource consumption accordingly.

关键词： Virtual machining Cloud computing Particle swarm optimization Scheduling algorithms Job shop scheduling

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A Gridless Wideband DOA Estimation Based On Atomic Norm Minimization

A Gridless Wideband DOA Estimation Based On Atomic Norm Mini...

引用

sensor Array and Multichannel Signal Processing Workshop

作者： Yuanyuan Jiang Dan Li Xiaohuan Wu Wei-Ping Zhu Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

This paper proposes a new method for wideband directionof-arrival (DOA) estimation. The main idea of the proposed method is focusing the array output on frequency point to the reference frequency point. But different from coherent signalsubspace method (CSSM), it has no requirement of an initial DOA estimation. Atomic norm minimization (ANM) is then applied after the focusing step. Our proposed method is able to achieve better estimation performance than other wideband DOA estimators. Numerical simulations are carried out to demonstrate the performance of the proposed method compared to existing ones.

关键词： Direction-of-arrival estimation Frequency-domain analysis Simulation Conferences Estimation Focusing Minimization

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Heterogeneous Data Integration and Fusion System Based on Metadata Conflict Algorithms in USPIOT

Heterogeneous Data Integration and Fusion System Based on Me...

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Wireless communication and sensor network, Intl Conference on

作者： Jian-Min Bao Tian-Tian Hu Lin Pan He Xu Hai-Feng Hu Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781479970926

With the development of the Internet of Things, data islands and information redundancy which caused by massive heterogeneous data has become a challenge of many commercial applications and scientific research hot spots. First, we proposed and designed a MapReduce data integration and data fusion architecture, then, we established a stable information processing environment and a unified information retrieval interface for users, and then we analyzed MapReduce implementation processes, management processes, and the connection process. Meanwhile we proposed a conflict processing algorithms in processing heterogeneous redundant data problems by using metadata, and applied them to the processing of creating the virtual database using MapReduce technology, eliminating the redundant information to enhance the utilization of data space. Finally, we established the bench system to provide a unified heterogeneous data programming interface and memory management with heterogeneous data integration and fusion for users in our developed platform USPIOT (Ubiquitous Service Platform for Internet Of Things) and achieved better results.

关键词： Databases Data integration Humidity Data models Temperature distribution Internet of things

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