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International Conference on Advanced information networking and Applications (AINA)

作者： Chuanyou Li Yun Wang Michel Hurfin Ministry of Education Key Lab of Computer Network & Information Integration Nanjing China Inria Rennes France

We consider the clock synchronization problem in wireless mobile ad hoc networks in the presence of Byzantine nodes. The communication topology is dynamic: nodes move randomly within a geographical area. We propose a clock synchronization protocol which is based on the linear approximate consensus method. Periodically each correct node broadcasts its current timestamp and gathers the timestamps provided by its current neighbors. To cope with the malicious nodes (and to improve the performance when the node density is low), each node keeps the collected timestamps in a local log. As a log may contain values received more or less recently, a transformation technique is introduced to refresh the outdated values. The accuracy of the synchronisation depends on the connectivity among the moving nodes. We use a matrix and vector based representation to model the behavior of the synchronization process and to analyze its accuracy. We show that the deviation between the different clock values can converge towards zero when a particular condition is satisfied infinitely often. The frequency at which the condition is satisfied also impacts the synchronization accuracy. Based on a particular mobility scenario, performance simulations are conducted.

关键词： Synchronization Clocks Vectors Ad hoc networks Protocols Accuracy Real-time systems

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CIRM: A candidate item reduce method on mapreduce for meteorological big data application

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Energy Education Science and Technology Part A: Energy Science and Research 2014年第6期32卷 6209-6220页

作者： Xue, Shengjun Huang, Junsheng Xu, Xiaolong Zhang, Jie Jing, Lu Nanjing University of Information Science and Technology School of Computer and Software Nanjing China Nanjing University of Information Science and Technology Jiangsu Engineering Center of Network Monitoring Nanjing China Nanjing University State Key Laboratory for Novel Software Technology Nanjing China Nanjing University Department of Computer Science and Technology Nanjing China Shanghai Meteorological Information and Technical Support Centre Shanghai China Computer Science Department Oklahoma State University StillwaterOK United States

With the increase of the number of meteorological stations, the meteorological data is growing rapidly. Association analysis algorithm is widely applied to the analysis of meteorological data. The traditional association analysis algorithm is difficult to meet the needs of meteorological big data processing. In order to solve this problem, in this paper, we propose a candidate item reduce method named CIRM. It aims at reducing the times of searching data sets and the number of generating candidate sets. To improve its scalability and efficiency in big data environment, CIRM is implemented on Hadoop, a widely-adopted distributed computing platform using the MapReduce parallel processing paradigm. Finally, extensive experiments are conducted on meteorological data sets, and results demonstrate that CIRM significantly improves the efficiency and scalability of the Meteorological analysis data over existing approaches. © Sila Science. All rights reserved.

关键词： MapReduce

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Design and implementation of controlling pc wirelessly by android mobile based on C/S mode

International Journal of Control and Automation

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International Journal of Control and Automation 2014年第7期7卷 157-166页

作者： Ma, Li Zhou, Yu Liao, Kuo Liu, Shen Qiao, Jie Han, Zhenyu Wang, Jin Nanjing University of Information Science and Technology Network Monitoring Center of Jiangsu Province Nanjing 210044 China Nanjing University of Information Science and Technology College of Computer and Software Nanjing 210044 China Nanjing University of Information Science and Technology Key Laboratory of Meteorological Disasters of Ministry of Education Nanjing 210044 China Ningde Meteorological Bureau Ningde 352100 China

In order to adapt to the development of the mobile Internet, intelligent small mobile terminal will be the future trend of development. This paper describes the implementation of data communication between the Android operating system and PC. Besides, this paper also presents some solutions of key issues, including the event processing of mouse movement area involved in Android mobile client, the event processing of command button and mouse movement involved in PC server, etc. To meet the needs of schools and educational institutions, an Android wireless mouse and keyboard software based on C / S mode is developed, hoping to replace similar electronic pointer and achieve long-range wireless control. © 2014 SERSC.

关键词： Wi-Fi

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A study of agricultural meteorological monitoring system based on wireless sensor networks

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous Engineering 2014年第7期9卷 15-26页

作者： Ma, Li Yan, Jingzhou Yan, Shuangshuang Wang, Baowei Liao, Kuo Wang, Jin Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044 China School of Computer and Software Nanjing University of Information Science and Technology Nanjing 210044 China Key Laboratory of Meteorological Disaster of Ministry of Education Nanjing University of Information Science and Technology Nanjing 210044 China Ningde Meteorological Bureau Ningde 352100 China

In order to keep the sustainable development of agricultural industry, monitoring the four basic essential elements' changes, which are temperature, humidity, light intensity, carbon dioxide, and applying the corresponding solution is really necessary. An agriculture meteorological monitoring system with ZigBee wireless sensor networks (WSNs)and wireless communication technology is designed in this paper. Sensor nodes are distributed in the measurement area and form a self-organizing network. The sink collects information which transmitted from sensor nodes and then, sends the information to the server. Server will summarize the information, then taking analysis and processing. At the end, the server will give some corresponding warningand forecast. The cost of this system is low and could improve the accuracy and timeliness in agricultural meteorological monitoring. © 2014 SERSC.

关键词： Zigbee

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A three-dimension localization algorithm forwireless sensor network mobile nodes based on double-layers BP neural network

A three-dimension localization algorithm forwireless sensor ...

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9th International Symposium on Linear Drives for Industry Applications, LDIA 2013

作者： Yuming, Mao Yinglong, Wang College of Information Science and Engineering Shandong University of Science and Technology Qingdao China College of Information Science and Electrical Engineering Shandong Jiaotong University Jinan China Shandong Provincial Key Laboratory of Computer Network Shandong Computer Science Center Jinan China

ISBN: (纸本)9783642406393

The paper presents a three-dimensional localization algorithm for wireless sensor network (WSN) mobile nodes based on double-layers BP neural network. The main contribution of the paper is that using the trained double-layers BP neural network and the received signal strength indicator at the unknown point as the input data to Locating the mobile node. According to the result, the average relative error of the algorithm based on double-layers BP neural network is 6.65 %, and themethod has fast processing speed and high precision, and it can provide availability and exact data for WSN. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Sensor nodes

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Design of information disclosure platform in engineering based on reliability model

Design of information disclosure platform in engineering bas...

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4th International Conference on Materials Science and information Technology, MSIT 2014

作者： Meng, Qing Feng Feng, Zheng Qian Li, Zhao Hao, Sheng G. Shandong Computer Science Center Shan Dong E-cloud Information Technology Co. Ltd Jinan 250000 China Department of Shandong Provincial Key Laboratory of computer Network Shandong Computer Science Center Jinan 250000 China

ISBN: (纸本)9783038351733

This paper presents a public information platform based on reliability coefficient for information disclosure process in construction field. In this platform, we constructed a model of enterprise reliability coefficient and enterprise credit evaluation system, unified credit standards of Shandong Province in the construction industry sectors. Meanwhile, we adopt flexible workflow to definite workflow model of public information platform and using SOA architecture which is service-oriented and object-oriented programming ideas to realize the entire system. Finally, the article analyzes the public information platform in the field of engineering construction in Shandong province, and after the test run, the results show that the system has better scalability, stability and high security. © (2014) Trans Tech Publications, Switzerland.

关键词： Reliability

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Decision Tree Algorithm Optimization Research Based on MapReduce

Decision Tree Algorithm Optimization Research Based on MapRe...

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2015 6th IEEE International Conference on Software Engineering and Service Science(ICSESS 2015)

作者： Fangfang Yuan Fusheng Lian Xingjian Xu Zhaohua Ji College of Computer and Information Engineering Inner Mongolia Normal University Xing An Vocational & Technical College CAS Key Laboratory of Genome Sciences and Informatio n Beijing Institute of Genomics Chinese Academy of Sciences University of Chinese Academy of Sciences College of Environment and Energy Engineering Beijing University of Technology College of Network Technology Inner Mongolia Normal University

With the advent of the computer science, the data volume that needed to be processed under many practical situations increases dramatically, challenging many traditional machine learning techniques. Bearing this in mind, we made an intensive study on the optimization of decision tree algorithm and its corresponding porting to the big data analysis in this paper. An optimized genetic algorithm is merged into the implementation of the decision tree algorithm above, and we also invent a parallel genetic decision tree algorithm using Map Reduce, which is very suitable for analyzing big data in cloud computing environment. Experiment results show that our algorithm acquires a nearly linear speedup, keeping a similar classification accuracy at the same time.

关键词： cloud computing mapreduce decision tree genetic algorithm data mining

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Defense Technology of Wormhole Attacks Based on Node Connectivity

Defense Technology of Wormhole Attacks Based on Node Connect...

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IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)

作者： Jiu-hu Zheng Huan-yan Qian Lei 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 National Mobile Communications esearch Laboratory Southeast University Nanjing Jiangsu China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing Jiangsu China

ISBN: (纸本)9781509018949

After wormhole attacks the routing mechanism of wireless sensor network (WSN) is damaged, then the hop count and distance between nodes cannot be well matched, so that the WSN becomes the anisotropic sensor network, resulting in security treats for WSN. Considering that wormhole attacks can cause the changing of node connectivity, through the theoretical analysis and derivation, the paper has proposed a method which detects wormhole attacks with the connected relation of high connectivity nodes, and optimizes routing with the help of the normal nodes outside the wormhole. Simulation results show that the algorithm can well detect wormhole attacks and has better localization accuracy In addition, the effect is more obvious in the case of the wormhole nodes with large communication radius and long distance.

关键词： Wireless sensor networks Routing Probability Algorithm design and analysis Security Simulation computer science

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A new combination prediction model for short-term wind farm output power based on meteorological data collected by WSN

International Journal of Control and Automation

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International Journal of Control and Automation 2014年第1期7卷 171-180页

作者： Ma, Li Li, Bo Yang, Zhen Bin Du, Jie Wang, Jin Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044 China School of Computer and Software Nanjing University of Information Science and Technology Nanjing 210044 China Key Laboratory of Meteorological Disaster of Ministry of Education Nanjing University of Information Science and Technology Nanjing 210044 China CMA Public Meteorological Service Centre Beijing 100081 China

The prediction of wind farm output power is considered as an effective way to increase the wind power capacity and improve the safety and economy of power system. It is one of the hot research topics on wind power. The wind farm output power is related to many factors such as wind speed, temperature, etc., which is difficult to be described by some mathematical expression. In this paper, Back Propagation (BP) neural network algorithm is respectively combined with genetic algorithm (GA) and particle swarm optimization (PSO) to establish the combination prediction model of the short-term wind farm output power based on meteorological data collected by Wireless Sensor network (WSN). The meteorological data is used to determine the input variables of the BP neural network. Meanwhile, the GA and the PSO is respectively used to adjust the value of BP's connection weight and threshold dynamically. Then the trained GA-BP and PSO-BP neural network are used to predict the wind power by combination method. The experiment results show that our method has better prediction capability compared with that using BP neural network, GA-BP neural network and PSO-BP neural network alone. © 2014 SERSC.

关键词： Wireless sensor networks

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One forward-secure signature scheme using bilinear maps and its applications

One forward-secure signature scheme using bilinear maps and ...

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作者： Yu, Jia Kong, Fanyu Cheng, Xiangguo Hao, Rong Li, Guowen College of Information Engineering Qingdao University 266071 Qingdao China Shandong Provincial Key Laboratory of Computer Network 250014 Jinan China Institute of Network Security Shandong University 250100 Jinan China Key Lab of Cryptographic Technology and Information Security Ministry of Education Jinan 250100 China School of Computer Science and Technology Shandong Jianzhu University 250100 Jinan China

Forward-secure signatures are proposed to deal with the key exposure problem. Compared to regular signatures, forward-secure signatures have a special update algorithm that can evolve the new private key in each time period. Therefore, it can protect the security of signatures previous to the time period of key exposure. The efficiency is an important issue of forward-secure signatures. In this paper, we construct a new forward-secure signature scheme using bilinear maps. In this scheme, all performance parameters have complexities of log magnitude in terms of the total time periods. In addition, our scheme needs very few (only triple) pairing operations in the verifying algorithm, which is very important because the pairing operation is very time-consuming. This scheme is proved to be forward secure in the random oracle model assuming the CDH problem is hard. Finally, we give some applications of this scheme including constructing an intrusion-resilient signature scheme and constructing a forward-secure threshold signature scheme. © 2014 Elsevier Inc. All rights reserved.

关键词： Authentication

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