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Differential space-time block coding based cooperative spectrum sensing over fading environments in cognitive radio sensor networks

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Journal of Information and Computational Science 2012年第15期9卷 4599-4606页

作者： Chen, Zhi Yue, Wenjing College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing 210003 China

Incorporating cognitive radio capability in recource-constrainted multihop wireless sensor networks may help realize the deployment of multiple overlaid sensor networks, and eliminate collision and excessive contention delay incurred by dense node deployment. One of the main requirements of cognitive radio sensor networks is the ability to detect the presence of the primary user with fast speed and high accuracy in wireless environments. Cooperative spectrum sensing emerges as a promising candidate to meet these requirements. In practice, however, since the local sensing observations are forwarded to a sink through fading channels, the sensing performance of cooperative spectrum sensing is deteriorated due to the reporting errors introduced by the fading channels. To deal with this limitation, we propose a differential space-time block coding based cooperative spectrum sensing scheme to improve the sensing performance by decreasing the probability of reporting error. The sensing performance is also derived. Numerical results verify that better sensing performance can be achieved in proposed scheme compared to the conventional cooperative spectrum sensing. © 2012 by Binary Information Press.

关键词： Cognitive radio

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Mean shift object tracking with modified LTP

Mean shift object tracking with modified LTP

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International Conference on Signal Processing Proceedings (ICSP)

作者： Shaona Zhang Dong Hu Yanting Hu Education Ministry's Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications China School of Telecommunication and Information Engineering Nanjing University of Posts and Telecommunications China

A new scheme of object tracking with mean shift is put forward in this paper. At first, texture feature is fused in the processing by Local Ternary Pattern (LTP). Since LTP is sensitive to local noise, least median of squares (LMedS) algorithm is used to adaptively calculate the noise threshold for accurate estimation of the LTP texture information. Furthermore, target scale and orientation is estimated in case of partial occlusion or rotation, so as to realize robust object tracking. Experimental results show that the proposed algorithm can acquire robust tracking performance under complex background .

关键词： Histograms Target tracking Image color analysis Object tracking Heuristic algorithms Computational modeling Kernel

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Relay power allocation in auction-based game approach

Relay power allocation in auction-based game approach

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IEEE Global communications Conference

作者： Dan Wu Yueming Cai Zhou, Liang Rodrigues, Joel Institute of Communications Engineering PLA University of Science and Technology The Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications) Ministry of Education Institute de Telecomunicacoes University of Beira Interior

ISBN: (纸本)9781467309202

In this work, with respect to the uncertainty about the individual information, we investigate the relay power allocation problem from the energy-efficient, Pareto optimal, and competitive fairness perspective. At first, we design an easy-implementation energy efficiency metric, which aims at striking a balance between the QoS provisioning and the energy consumption. Then, an auction mechanism is proposed for relay power allocation. By transferring the auction mechanism into a game, we prove the existence, uniqueness, and Pareto optimality of the Nash equilibrium (NE) for our auction game, and show that the allocation strategies from the NE can achieve the energy efficiency in terms of the proposed metric. Next, we develop a distributed relay power allocation algorithm based on our best-response functions to reach the Pareto optimal NE. Importantly, we not only certify the convergence of the proposed algorithm, but also provide quantitative analysis on it. Extensive simulations results are conducted to confirm the validity of the analytical results.

关键词： wireless cooperative networks Auction theory Energy efficiency Power allocation Outage probability

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A non-deterministic evaluation on SLA in cloud markets

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content technology and its Applications 2012年第23期6卷 838-848页

作者： Xu, Jin-Song Yang, Geng Huang, Wan-Ming Xu, Xiao-Long Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education China College of Computer Nanjing University of Post and Telecommunications China TongDa College Nanjing University of Post and Telecommunications China State Key Laboratory for Novel Software Technology Nanjing University China

The primary issue in dynamic cloud computing environments is how to select and schedule the ideal and different cloud resources to cooperation in order to guarantee the requirements of applications. This paper proposed a novel cloud services selection algorithm for hierarchy evaluation of SLA, which is selecting the proper resources to compromise services. The service level agreement can only ensure completion of the application. Through fuzzing the SLA attribute, this paper conducted a non-deterministic evaluation on the SLA attribute data provided by cloud service providers using variable weights. Based on the relationships among different SLA attributes, a better cloud service will be selected in a Service Oriented Architecture. The experimental results show the effectiveness of the algorithm: there is no force in the relationship between sub-tasks in the case, each cloud resource and service providers can effectively reduce the cost of application based on recommendations;with the introduction of mandatory use of strong relationships and recommendation of service resources, the effectiveness of the application is ensured while reducing the total consumption of services;the right way to use fuzzy variable cloud resources involved in service evaluation will help to cut the cost of commercial cloud services and providing users with better services.

关键词： Cloud computing

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A free-rider forecasting model based on gray system theory in P2P networks

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Research Journal of Applied Sciences, Engineering and technology 2012年第21期4卷 4423-4428页

作者： Xu, He Zhou, Zhao-Xiong Wang, Suo-Ping Wang, Ru-Chuan College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China College of Automation Jiangsu Nanjing 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Jiangsu Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Jiangsu Province Nanjing 210003 China

The aim of this study is to forecast the number of free-riders in P2P networks which can help network managers to know the status of the networks in advance and take appropriate measures to cope with free-riding behavior. Free-riding behavior is common in P2P networks, which has a negative impact on the robustness, availability and stability of the networks. Severe free-riding behavior may lead to the crash of the whole P2P application system. Based on the research of free-riding behavior in P2P networks, this paper constructs a free-rider forecasting model (GST model) using Gray System Theory. Simulation experiments show that this model has high feasibility, and can carry out reasonable predictions on the number of free-riders in P2P networks. © Maxwell Scientific Organization, 2012.

关键词： Forecasting

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A random linear coding algorithm for cognitive wireless mesh networks

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Journal of Convergence Information technology 2012年第6期7卷 112-120页

作者： Qi, Jin Zhang, Shunyi Li, Shujing Cao, Lu Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing 210003 China Institute of Information and Network Technology Nanjing University of Posts and Telecommunication Nanjing 210003 China College of Information Engineering FuYang Teachers' College Fuyang 236000 China

In viewing of the problem that network coding can improve network throughput as well as increase network complexity, this paper proposed a special cognitive wireless mesh network topology while constructed a novel coding algorithm. In the multicast model based on wireless channel, the algorithm improved information transmission rate to some extent with random linear processing of data at intermediate nodes, therefore transported several combinations of data messages. Compared with traditional random message distribution algorithms, the proposed algorithm can reduce transmission number of source packets effectively and improve network throughput measured with network coding gain. The effectiveness of the algorithm has been verified by the theoretical deduction and experimental results.

关键词： network coding

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Cognitive networks available resource health assessment model based on intelligent agent

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Advances in Information Sciences and Service Sciences 2012年第5期4卷 226-234页

作者： Qi, Jin Zhang, Shunyi Li, Linguo Sun, Yanfei Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunication Ministry of Education Nanjing 210003 China Institute of Information and Network Technology Nanjing University of Posts and Telecommunication Nanjing 210003 China College of Information Engineering FuYang Teachers' College Fuyang 236000 China

Refers to the both dynamic and multivariate network environment, we proposed a cognitive networks(CNs) available resource health assessment model, did health assessment of CNs resource availability through comprehensive fuzzy assessment model based on intelligent agent according to user Quality of Service(QoS) combined with network real-time state. Finally, by taking video on demand (VOD) as an example, we assessed the health degree of VOD service. The experimental results represented that the proposed approach can real-timely assess overall network performance as well as CNs available resource health effectively, therefore further guarantee the CNs overall performance and service end to end QoS.

关键词： Health

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Detecting Encrypted Botnet Traffic Using Spatial-Temporal Correlation

Detecting Encrypted Botnet Traffic Using Spatial-Temporal Co...

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第六届中国可信计算与信息安全学术会议

作者： Chen Wei Yu Le Yang Geng College of Computer Nanjing University of Posts and TelecommunicationsNanjing 210003P.R.China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003P.R.Chin Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Educati

In this paper,we propose a novel method to detect encrypted bother *** the traffic preprocessing stage,the proposed payload extraction method can identify a large amount of encrypted applications *** can filter out a large amount of non-malicious traffic,greatly improving the detection efficiency.A Sequential Probability Ratio Test (SPRT)-based method can find spatialtemporal correlations in suspicious botnet traffic and make an accurate *** results show that the false positive and false negative rates can be controlled within a certain range.

关键词： botnet encrypted traffic spatial-temporal correlation

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Data Aggregation Scheduling with Guaranteed Lifetime and Efficient Latency in wireless sensor networks

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China communications 2012年第9期9卷 11-21页

作者： Chen Zhengyu Yang Geng Chen Lei Xu Jian Wang Haiyong Yang Zhen Key Laboratory of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and TelecommunicationsNanjing 210003P.R.China College of Computer Science and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003P.R.China School of Information Technology Jinling Institute of TechnologyNanjing 211169P.R.China

In scenarios of real-time data collection of long-term deployed wireless sensor networks （WSNs）, low-latency data collection with long net- work lifetime becomes a key issue. In this paper, we present a data aggregation scheduling with guaran- teed lifetime and efficient latency in WSNs. We first Construct a Guaranteed Lifetime Mininmm Ra- dius Data Aggregation Tree （GLMRDAT） which is conducive to reduce scheduling latency while pro- viding a guaranteed network lifetime, and then de-sign a Greedy Scheduling algorithM （GSM） based on finding the nmzximum independent set in conflict graph to schedule he transmission of nodes in the aggregation tree. Finally, simulations show that our proposed approach not only outperfonm the state-of-the-art solutions in terms of schedule latency, but also provides longer and guaranteed network lifetilre.

关键词： WSNs data aggregation aggregationscheduling network lifetime latency

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Reliability based radio frequency identification reader redundant optimization model in electronic product code network

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International Journal of Advancements in Computing technology 2012年第18期4卷 577-584页

作者： Xu, He Wang, Suo-Ping Wang, Ru-Chuan College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China College of Automation Nanjing University of Posts and Telecommunications Nanjing 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Jiangsu Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Jiangsu Province Nanjing 210003 China

The Electronic Product Code (EPC) network, originally developed by the Auto-ID Center with its standards now managed by EPCglobal, is designed and implemented to enable all objects in the world to be linked via the Internet for all time. EPC is the next evolution of product identification, utilizing Radio Frequency Identification (RFID) technology to identify objects. RFID technology has been widely used in many areas, and how to deploy of a large number of readers becomes a core challenge due to the limited read range between reader and tag. This paper proposes a novel reader redundant optimization model for finding optimal redundant number of readers and their positions to cover all tags with using optimization algorithm in EPC network. Firstly, we give an overview of the collision problems in RFID system. Secondly, we propose reliability based RFID reader system model. Thirdly, we use ant colony algorithm to solve this optimization problem. Analysis results show the effectiveness of the proposed system model and simulation results show that the algorithm is effective in achieving the goal of this optimal solution.

关键词： Ant colony optimization

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