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4th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2012

作者： Liu, Hao Jiang, Fulong Yao, Guoliang National ASIC System Engineering Research Center Southeast University Nanjing China Jiangsu Provincial Key Laboratory of Sensor Network Technology Southeast University in Wuxi China

ISBN: (纸本)9780769548104

Several asynchronous duty cycle MAC protocols have been proposed for low power in the wireless sensor networks. However, these proposed MACs pay little attention on the performance degradation in many-to-one communications which is the most common traffic pattern in wireless sensor networks. In this paper, we propose AB-MAC, an appointment based MAC protocol to overcome the effect of channel contention of multiple senders. In AB-MAC, a fusion appointment scheme is proposed to enable scheduled batch transmission for multiple senders with low overhead. This scheme improves the transmission efficiency of the current asynchronous MACs in many-to-one traffic pattern. The experimental results show that, comparing to X-MAC which is a leading asynchronous MAC, AB-MAC can achieve better performance in terms of throughput, latency and energy efficiency. © 2012 IEEE.

关键词： Wireless sensor networks

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Load Feedback-Based Resource Scheduling and Dynamic Migration-Based Data Locality for Virtual Hadoop Clusters in OpenStack-Based Clouds

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Tsinghua Science and technology 2017年第2期22卷 149-159页

作者： Dan Tao Zhaowen Lin Bingxu Wang School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003China Network and Information Center Institute of Network TechnologyScience and Technology on Information Transmission and Dissemination in Communication Networks LaboratoryNational Engineering Laboratory for Mobile Network SecurityBeijing University of Posts and TelecommunicationsBeijing 100876China

With cloud computing technology becoming more mature, it is essential to combine the big data processing tool Hadoop with the Infrastructure as a Service（Iaa S） cloud platform. In this study, we first propose a new Dynamic Hadoop Cluster on Iaa S（DHCI） architecture, which includes four key modules： monitoring,scheduling, Virtual Machine（VM） management, and VM migration modules. The load of both physical hosts and VMs is collected by the monitoring module and can be used to design resource scheduling and data locality solutions. Second, we present a simple load feedback-based resource scheduling scheme. The resource allocation can be avoided on overburdened physical hosts or the strong scalability of virtual cluster can be achieved by fluctuating the number of VMs. To improve the flexibility, we adopt the separated deployment of the computation and storage VMs in the DHCI architecture, which negatively impacts the data locality. Third, we reuse the method of VM migration and propose a dynamic migration-based data locality scheme using parallel computing entropy. We migrate the computation nodes to different host（s） or rack（s） where the corresponding storage nodes are deployed to satisfy the requirement of data locality. We evaluate our solutions in a realistic scenario based on Open *** experimental results demonstrate the effectiveness of our solutions that contribute to balance the workload and performance improvement, even under heavy-loaded cloud system conditions.

关键词： Hadoop resource scheduling data locality Infrastructure as a Service（Iaas） OpenStack

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Improved Centroid Localization Algorithm Based on Possible Position Set in Wireless sensor network 33

Improved Centroid Localization Algorithm Based on Possible P...

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第三十三届中国控制会议

作者： SHI Xin ZHANG Linghua College of Telecommunications & Information Engineering Nanjing University of Posts and Telecommunications Jiangsu Provincial Engineering Research Center of Telecommunications and Network Technology Nanjing University of Posts and Telecommunications

ISBN: (纸本)9781479947249

To solve the problem that the localization accuracy of centroid algorithm depends heavily on the anchor density,an improved centroid algorithm based on possible position set is ***,the unknown node uses centroid algorithm to obtain a square region and then searches its possible position set in the square ***,the centroid of all possible positions is the estimated coordinate of the unknown *** introduction of possible position set fully utilizes the location information of anchors and reduces the localization *** results represent that our algorithm can provide higher localization accuracy than the centroid algorithm and the advanced centroid algorithm.

关键词： Wireless sensor network,Centroid Algorithm,Possible Position Set,Localization Accuracy

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An Improved Protocol Based on Directed Diffusion Routing Protocol with network Coding 8

An Improved Protocol Based on Directed Diffusion Routing Pro...

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8th International Conference on networks, Communication and Computing, ICNCC 2019

作者： Huang, Weixin Zhang, Linghua College of Telecommunication and Information Engineering NJUPT Nanjing China Jiangsu Provincial Engineering Research Center of Telecommunications and Network Technology Nanjing China

ISBN: (纸本)9781450377027

The emergence of network coding technology is not too early. This technology emerged in the information field in recent years. It is a data storage technology that combines routing and coding to improve transmission efficiency by additionally encoding data at intermediate nodes[1]. This kind of new technology is able to enhance data throughput, cut down node energy consumption, and achieve energy balance by utilizing the inherent spatial diversity and data redundancy features of WSN. Routing protocol is an important technology in the design of wireless sensor networks. Aiming at the traditional directed diffusion routing protocol (DD), this paper analyzes the problem that the original protocol costs too much in energy and time, and proposes an efficient and energysaving improved directed diffusion routing protocol NC-DD (network Coding-DD). This protocol solves the problem of excessive energy consumption when the node works caused by a improper forwarding strategy in the original protocol. Experiments show that the NC-DD protocol model can effectively enhance data throughput and cut down time and energy overhead. © 2019 ACM.

关键词： Routing protocols

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QoE-Driven Big Data Management in Pervasive Edge Computing Environment

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Big Data Mining and Analytics 2018年第3期1卷 222-233页

作者： Qianyu Meng Kun Wang Xiaoming He Minyi Guo Jiangsu Engineering Research Center of Communication and Network Technology Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing University of Posts and Telecommunications Department of Computer Science and Engineering Shanghai Jiao Tong University Department of Computer Science and Engineering Shanghai Jiao Tong University

In the age of big data, services in the pervasive edge environment are expected to offer end-users better Quality-of-Experience(QoE) than that in a normal edge environment. However, the combined impact of the storage, delivery, and sensors used in various types of edge devices in this environment is producing volumes of high-dimensional big data that are increasingly pervasive and redundant. Therefore, enhancing the QoE has become a major challenge in high-dimensional big data in the pervasive edge computing environment. In this paper, to achieve high QoE, we propose a QoE model for evaluating the qualities of services in the pervasive edge computing environment. The QoE is related to the accuracy of high-dimensional big data and the transmission rate of this accurate data. To realize high accuracy of high-dimensional big data and the transmission of accurate data through out the pervasive edge computing environment, in this study we focused on the following two ***, we formulate the issue as a high-dimensional big data management problem and test different transmission rates to acquire the best QoE. Then, with respect to accuracy, we propose a Tensor-Fast Convolutional Neural network(TF-CNN) algorithm based on deep learning, which is suitable for high-dimensional big data analysis in the pervasive edge computing environment. Our simulation results reveal that our proposed algorithm can achieve high QoE performance.

关键词： Quality-of-Experience(QoE) high-dimensional big data management deep learning pervasive edge computing

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research on application status of sensor web enablement

Research on application status of sensor web enablement

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2014 International Conference on Materials Science and Computational engineering, ICMSCE 2014

作者： Zhang, Wei Zhang, Ling Hua Wang, Chen Su, Jing Huan Department of Telecommunication and Information Engineering NJUPT Nanjing 210003 China Jiangsu Provincial Engineering Research Center of Telecommunications and Network Technology Nanjing 210003 China

ISBN: (纸本)9783038350996

With demand grows for ways to connect information systems with the real world. The quality of geographic information service has become a critical factor in the success of the service application. However, how to get a reasonable assessment of geographic information services is a complex issue. This paper studied the availability, stability, responsiveness and service quality of samples, and also analyzed the quality and current application of SWE geographic information services published, based on the monitoring model with a random collection of SWE addresses posted on the Internet. At the same time, discusses the correlation between the quality of geographic information services and area locations. © (2014) Trans Tech Publications, Switzerland.

关键词： Information services

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Low power consumption reduced state and transition MLSE in optical interconnects

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Science China(Information Sciences) 2023年第10期66卷 325-326页

作者： Weihao NI Fan LI Wei WANG Zhibin LUO Xingwen YI Yi CAI Zhaohui LI School of Electronics and Information Technology Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems Sun Yat-sen University Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Jiangsu Engineering Research Center of Novel Optical Fiber Technology and Communication Network Suzhou Key Laboratory of Advanced Optical Communication Network Technology Soochow University

Intensity modulation/direct detection(IM/DD) optical fiber communication system is an appropriate candidate for optical interconnect applications due to its low cost and low power consumption characteristics [1]. 4-level pulse amplitude modulation(PAM-4) is widely discussed in optical interconnects due to its simpler transceiver configuration and implementation [2].

关键词： Optical interconnects

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A Dual-Chaining Watermark Scheme for Data Integrity Protection in Internet of Things

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Computers, Materials & Continua 2019年第3期58卷 679-695页

作者： Baowei Wang Weiwen Kong Wei Li Neal NXiong Jiangsu Engineering Centre of Network Monitoring Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment TechnologySchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China Engineering Research Center of Electronic Information and Control from Fujian Provincial Education Department Fuzhou350108China Department of Mathematics and Computer Science Northeastern State UniversityOklahomaUSA.

Chaining watermark is an effective way to verify the integrity of streaming data in wireless network environment,especially in resource-constrained sensor networks,such as the perception layer of Internet of Things ***,in all existing single chaining watermark schemes,how to ensure the synchronization between the data sender and the receiver is still an unsolved *** the synchronization points are attacked by the adversary,existing data integrity authentication schemes are difficult to work properly,and the false negative rate might be up to 50 *** the additional fixed group delimiters not only increase the data size,but are also easily detected by *** this paper,we propose an effective dual-chaining watermark scheme,called DCW,for data integrity protection in smart campus IoT *** proposed DCW scheme has the following three characteristics:(1)In order to authenticate the integrity of the data,fragile watermarks are generated and embedded into the data in a chaining way using dynamic grouping;(2)Instead of additional fixed group delimiters,chained watermark delimiters are proposed to synchronize the both transmission sides in case of the synchronization points are tampered;(3)To achieve lossless integrity authentication,a reversible watermarking technique is *** experimental results and security analysis can prove that the proposed DCW scheme is able to effectively authenticate the integrity of the data with free distortion at low cost in our smart meteorological Internet of Things system.

关键词： Dual-chaining reversible watermark integrity authentication Internet of things.

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A 0.5 v divider-by-2 with forward-body bias technique for wireless sensor networks

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2012 International Conference on Electrical and Electronics engineering, ICEE 2012

作者： Wang, Lidan Li, Zhiqun Institute of RF- and OE-ICs Southeast University Nanjing Jiangsu 210096 China Engineering Research Center of RF-ICs and RF-Systems Ministry of Education Southeast University Nanjing Jiangsu 210096 China Jiangsu Provincial Key Laboratory of Sensor Network Technology Wuxi Jiangsu 214135 China

ISBN: (纸本)9781461449805

As the CMOS technology scaling into nanometer and the power supply voltage decrease, low-voltage circuit design becomes a challenge. A divider-by-2 with 0.5 V power supply implemented in TSMC 0.13 μm 1P8M CMOS process is designed to produce 2.4 ~ 2.5 GHz quad-signals for Wireless sensor networks (WSN). To reduce the threshold voltage of transistors, low-threshold (LT) NMOS transistor in Deep-N-Well (DNW) with Forward-Body Bias technique is used in the circuits. The design of layout with DNW and isolation of the bulk of the LT NMOS with the substrate are explained in this chapter. The post-simulated operating frequency range is 2.5 ~ 7 GHz and the power consumption is 0.9 mW at 5 GHz. © 2014 Springer Science+Business Media New York.

关键词： Wireless sensor networks

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A novel multi-target localization algorithm for WSN

A novel multi-target localization algorithm for WSN

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2014 International Conference on Information and Communications Technologies, ICT 2014

作者： Bo, Xue Lin-hua, Zhang Nanjing University of Posts and Telecommunications Nanjing 210003 China Jiangsu University of Technology Nanjing 210003 China Jiangsu Provincial Engineering Research Center of Telecommunications and Network Technology Nanjing 210003 China

ISBN: (纸本)9781849198431

Accurate localization of target is a premise for the application of Wireless sensor network(WSN), which is related to the quality of network data collection, data storage and data query, etc. In this paper, the target spatial domain is discretized by grids, when the network area consists only of several targets, the target localization is a sparsity-seeking problem such that the Compressed Sensing(CS) framework can be applied. We investigate the target localization as a CS problem, and solve it by an Improved Orthogonal Matching Pursuit(IOMP) algorithm. The experimental results show that, this algorithm offers an attractive performance for multi-target localization, and it has excellent noise immunity.

关键词： Compressed sensing

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