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检索条件"机构=Anhui Key Laboratory of Software in Computing and Communication"

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Coverage-preserving Data Gathering in Wireless Sensor Networks

Coverage-preserving Data Gathering in Wireless Sensor Networ...

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ACIS International Conference on software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed computing (SNPD)

作者： Hongli Xu Liusheng Huang Jumin Wu Yang Wang Depart. of Computer Science and Technology Anhui Province key Laboratory of Software in Computing and Communication University of Science and Technology Hefei China

The power is the most significant resource in wireless sensor nodes, so energy conservation is the most important factor in designing the protocol for sensor networks. In this paper, we study the problem of energy-efficient collection of the physical information from the target area. The coverage-preserving data gathering (CPDG) problem is to build up a tree, which minimizes the total energy consumption, and preserves the original coverage to ensure the result correctness. This problem can be formalized as 0-1 integer linear programming, and solved by an efficient heuristic algorithm. Furthermore, an improved algorithm is also proposed to balance the energy consumption among all the sensor nodes. The experimental results show that CPDG algorithm can conserve the energy about 30% of PEDAP protocol, which is regarded as one of the most efficient data gathering protocols as we know.

关键词： Wireless sensor networks Energy efficiency Energy consumption Heuristic algorithms Monitoring Distributed computing Computer networks Energy conservation Wireless application protocol Integer linear programming

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The Learning-Bargaining Algorithm Used in Unlicensed Spectrum Pre-Allocation

The Learning-Bargaining Algorithm Used in Unlicensed Spectru...

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第三届IEEE无线通讯、网络技术暨移动计算国际会议

作者： Kun Han Jinlong Li Ping Zhu Xufa Wang Anhui Province Key Laboratory of Software in Computing and Communication Department of Computer Science and Technology University of Science and Technology of China Hefei 230027 China

In the wireless network of finite spectrum resource, some communication users probably do not allocate the spectrum so that their communication should be delayed. Thus it is necessary to arrange the communication time of the systems when we allocate the communication spectrum. We propose a games learning-bargaining algorithm to pre-allocate the communication resources in the frequency-time space. Through this distributed games learning, each user obtains its communication schedule, and the result of allocation is further improved by the bargaining process. The result of this algorithm makes the bandwidth utilization achieve a quite high level and arranges the global communication time as short as possible. Comparing with the centralized algorithm of NP-hard, this distributed algorithm has low time complexity. The experiments verify the convergence of the algorithm and present the superiorities of our results to other allocation algorithms.

关键词： Cognitive Radio Spectrum Allocation Game Theory Learning-Bargaining Time Complexity.

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Joint Sink Mobility and Data Diffusion for Lifetime Optimization in Wireless Sensor Networks

Joint Sink Mobility and Data Diffusion for Lifetime Optimiza...

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IEEE Asia-Pacific Conference on Services computing (APSCC)

作者： Yu Gu Hengchang Liu Fei Song Baohua Zhao Department of Computer Science Anhui Province Key Laboratory of Software in Computing and Communication University of Science and Technology Hefei Anhui China Department of Computer Science University of Virginia Charlottesville VA USA

In this paper, we address the problem of lifetime optimization under storage constraint for wireless sensor networks with a mobile sink node. The problem is particularly challenging since we need to consider both mobility scheme and storage constraint. Previous works suggest to use a simple single-hop routing model in which source nodes can only communication with the sink node directly in those mobile networks. However, we notice that this statement is unsuitable for sensor networks with storage constraint because we prove it is a NP-complete problem under single-hop routing model by reducing the traveling salesman problem (TSP) to it in polynomial time. Hence, we try a different way. First we analyze this problem and give a lifetime upperbound, so whether this upperbound is tight is what we concern mostly. Thus, we first construct a 2-approximation O(n 2 ) algorithm to solve the TSP problem, then a novel data diffusion mechanism is built to achieve this upperbound. We prove that under some reasonable assumptions, our algorithm can output this optimal lifetime.

关键词： Wireless sensor networks Routing Computer networks Constraint optimization Computer science Mobile communication NP-complete problem Traveling salesman problems Polynomials Monitoring

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An Energy-Efficient TDMA MAC for Wireless Sensor Networks

An Energy-Efficient TDMA MAC for Wireless Sensor Networks

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IEEE Asia-Pacific Conference on Services computing (APSCC)

作者： Rong Gang Bai Yu Gui Qu Yang Guo Bao Hua Zhao Department of Electronic Engineering and Information Science University of Science and Technology Hefei Anhui China Department of Computer Science Anhui Province Key Laboratory of Software in Computing and Communication University of Science and Technology Hefei Anhui China

This paper proposes an energy-efficient and collision-free medium access control protocol TDMA-WSN for wireless sensor networks. The protocol is based on time division multiple access (TDMA) principle and reduces energy consumption by avoiding overhearing, collision and idle listening. Nodes in TDMA-WSN build schedules based on information about their neighborhood to determine when they can transmit to their neighbors and when they should listen to the channel or sleep. TDMA-WSN proposes a novel resolution with three-d-hop neighborhood information to avoid collision caused by the two-hop collision-free principle used in some protocols. TDMA-WSN can accelerate passing message by arranging schedule based on routing information from the upper-layer. The simulation results indicate that TDMA-WSN outperforms contention-based protocols (e.g., S-MAC) and scheduling-based protocols (e.g., NAMA) with significant energy savings.

关键词： Energy efficiency Time division multiple access Wireless sensor networks Access protocols Media Access Protocol Wireless application protocol Energy consumption Sleep Energy resolution Acceleration

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A Novel Approach for Signal Transduction Networks Simulation at a Mesoscopic Level

A Novel Approach for Signal Transduction Networks Simulation...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Chenxi Shao Hongli Deng MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology Hefei Anhui China University of Science and Technology of China Hefei Anhui CN

Signal transduction (ST) networks simulation is important to medical research. However, owing to the complexity of the networks, most methods presented for the simulation are not desirable. Here, based on multi-agent system (MAS), we proposed a novel approach characterized by a multi-level discrete space and mesoscopic molecule-agents for describing ST networks at a mesoscopic level. The space is developed for the representation of the cellular space; it provides a relatively sufficient spatial representation with less computational cost. The mesoscopic molecule-agents model the active components within the networks, which will offer new potentials to overcome the combinatorial complexity as well as make computation feasible. To validate this method, the simulations of a composition/decomposition system and the Mitogen-Activated Protein Kinase (MAPK) signal transduction pathway are implemented. Finally, an in-silico experiment with perturbation in the MAPK pathway is made. The results obtained from the simulations demonstrate the validity of the approach.

关键词： Computational modeling Laboratories Computer networks Computational efficiency Computer simulation Multimedia computing Medical simulation Proteins Diseases Predictive models

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The Frequency-Time Pre-Allocation in Unlicensed Spectrum Based on the Games Learning

The Frequency-Time Pre-Allocation in Unlicensed Spectrum Bas...

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International Conference on Cognitive Radio Oriented Wireless Networks and communications

ISBN: (纸本)9781424408146;1424408156

In the wireless network of finite spectrum resource, some communication users probably do not allocate the spectrum so that their communication should be delayed. Thus it is necessary to arrange the communication time of the systems when we allocate the communication frequency. We construct a frequency-time spectrum model and propose a joint pre-allocation in a two-dimension space. Through the distributed games learning algorithm, each system could obtain its communication schedule, which makes the bandwidth utilization achieve a quite high level and arranges the global communication time as short as possible. The experiments show that our results have obvious superiorities in both bandwidth utilization and temporal performance relative to other allocation algorithms.

关键词： Frequency Radio spectrum management Resource management Wireless networks Bandwidth Delay Laboratories Computer networks Computer science Scheduling algorithm

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Quality Assessment for Image Coding Based on Matching Pursuit

Quality Assessment for Image Coding Based on Matching Pursui...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Jianxin Pang Rong Zhang Lu Lu Zhengkai Liu MOE-Microsoft Key Laboratory of Multimedia Computing and Communication Department of Electronic Engineering and Information Science University of Science and Technology Hefei Anhui China

Valuation of image coding relies on not only the efficiency of the coding, but also the quality of the coded image. We present a new objective quality assessment metric for image coding based on matching pursuit. First of all, we get the characteristics of the most important structure by projecting the reference image onto the base functions from a dictionary using matching pursuit. Secondly, we process the reference image and gain the structure information of the images in the order of importance, projecting the images onto the structural characteristics. Finally the objective quality score is given by comparing the differences of structure information between the reference and coded images. Experimental results show that the proposed approach is well consistent with the subjective quality score.

关键词： Quality assessment Image coding Matching pursuit algorithms Image quality Humans Layout Image segmentation PSNR Laboratories Multimedia computing

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Immune genetic programming based on register-stack structure

Immune genetic programming based on register-stack structure

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Congress on Evolutionary Computation

作者： Zeming Zhang Wenjian Luo Xufa Wang Nature Inspired Computation and Applications Laboratory Department of Computer Science and Technology University of Science and Technology Hefei China Nature Inspired Computation and Applications Laboratory Department of Computer Science and Technology and Anhui Key Laboratory of Software in Computing and Communication University of Science and Technology Hefei China

Inspired by biological immune principles, a novel Immune Genetic Programming based on Register-Stack structure (rs-IGP) is proposed in this paper. In rs-IGP, an antigen represents a problem to be solved, and an antibody represents a candidate solution. A flexible and efficient antibody representation based on register-stack structure is designed for rs-IGP. Three populations are adopted in rs-IGP, i.e. the common population, the elitist population and the self set. The immune genetic operators are also developed, including clone operator, recombination operator, mutation operator, hypermutation operator, crossover operator and negative selection operator. The experimental results demonstrate that rs-IGP has better performance.

关键词： Genetic programming Evolutionary computation Genetic mutations Cloning Biological system modeling Problem-solving Genetic algorithms Gene expression

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Study on The Property of Training Samples and Learning Space with Genetic Algorithms

Study on The Property of Training Samples and Learning Space...

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ACIS International Conference on software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed computing (SNPD)

作者： Jingsong He Jian Tang QianSheng Fang MOE-Microsoft Key Laboratory of Multimedia Computing and Communication Department of Electronic Science and Technology University of Science and Technology China Anhui Institute of Architecture and Industry China

Historically, the empirical risk of a pattern classifier was asked to be made zero, therefor the default property of training samples were limited to a separable ones. Nowadays on the contrary, the major idea of learning classification no longer ask the empirical risk of classifier must be made zero. In this situation, inseparable feature sets may not be detrimental to the performance of classifier. However, so far no experimental studies and analytical results show whether an inseparable feature set is available or not. This paper firstly analyzes the interaction between learning algorithms and feature selection, and gives a proof by both the analytical analysis and experimental studies.

关键词： Genetic algorithms Industrial training Space technology Risk analysis Algorithm design and analysis Law Legal factors Classification tree analysis software engineering Artificial intelligence

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ParzenWindows Estimation Using Laplace Kernel: A Novel Parametric Analysis with Information Content

ParzenWindows Estimation Using Laplace Kernel: A Novel Param...

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ACIS International Conference on software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed computing (SNPD)

作者： Jingsong He Jian Tang QianSheng Fang MOE-Microsoft Key Laboratory of Multimedia Computing and Communication China Department of Electronic Science and Technology University of Science and Technology China Anhui Institute of Architecture and Industry China

Parzen windows estimation is one of the classical non- parametric methods in the field of machine learning and pattern classification, and usually uses Gaussian density function as the kernel. Although the relation between the kernel density estimation (KDE) and low-pass filtering is well known, it is vary difficult to setting the parameters of the other kinds of density functions. This paper proposes a novel method to deal with the parameters of Laplace kernel through measuring the degree of exchanged information among interpolating points. Experimental results showed that the proposed method can improve the performance of Parzen windows significantly.

关键词： Kernel Information analysis Density functional theory Low pass filters Machine learning Frequency estimation Cutoff frequency Bandwidth Artificial intelligence Pattern classification

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