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检索条件"任意字段=3rd Euro-NF Conference on Network Control and Optimization"

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Energy consumption optimization for software defined networks considering dynamic traffic

Energy consumption optimization for software defined network...

引用

IEEE International conference on Cloud networking (CLOUDNET)

作者： Adam Markiewicz Phuong Nga Tran Andreas Timm-Giel Hamburg University of Technology Institute of Communication Networks Hamburg Germany

Today's networking hardware (e.g. switches, routers) is typically running 24/7, regardless of the traffic volume. This is because in current networks, the controlling and data forwarding functions are embedded in the same devices, and all L2/L3 network protocols are designed to work in a distributed manner. Therefore, network devices must be switched on all the time to handle the traffic. This consequently results in very high global energy consumption of communication networks. Software Defined networking was recently introduced as a new networking paradigm, in which the control plane is physically separated from the forwarding plane and moved to a globally-aware software controller. As a consequence, traffic can be monitored in real time and rerouted very fast regarding certain objectives such as load balancing or QoS enhancement. Accordingly, it opens new opportunities to improve the overall network performance in general and the energy efficiency in particular. This paper proposes an approach that reconfigures the network in order to reduce the energy consumption, based on the current traffic load. Our main idea is to switch on a minimum amount of necessary switches/routers and links to carry the traffic. We first formulate the problem as a mixed integer linear programming (MILP) problem and further present a heuristic method, so called Strategic Greedy Heuristic, with four different strategies, to solve the problem for large networks. We have carried out extensive simulations for a typical campus network and arbitrary mesh networks with realistic traffic information and energy consumption, to prove the potential energy saving of the proposed approach. The results showed that we can save up to 45% of the energy consumption at nighttime.

关键词： Energy consumption Mesh networks Optical switches Heuristic algorithms Communication networks Routing optimization

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Exploration of the Service network optimization Model of Rural Tourism

Exploration of the Service Network Optimization Model of Rur...

引用

2013 3rd International conference on Social Sciences and Society(ICSSS 2013)

作者： Zhuopeng Deng Hainan College of Economics and Business

The author analyzes the significance, status and problems of the construction of the rural tourism informatization, and proposes the cooperation with the communications companies, to vigorously develop the mobile SMS mode of the rural tourism. Through multiple channels, strengthen the construction and perfection of the rural tourism sites. And strengthen the government regulation and control, increase the capital investment, and improve the infrastructure construction of the rural tourism information. Strengthen the publicity and education, and raise awareness of all the people on the informatization construction of the rural tourism. Pay attention to the software development, and strengthen training and introduction of the talents of rural tourism informatization. Attach importance to the network security, and unveil as soon as possible the relevant policies and regulations and other measures of the informatization construction of the rural tourism, to speed up the rural tourism informatization construction.

关键词： Rural tourism Informatization Site construction optimization model

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Research on Traffic Signal Cycle optimization Method Based on Bi-Level Programming Model 3

Research on Traffic Signal Cycle Optimization Method Based o...

引用

3rd International conference on Computer Science and network Technology (ICCSNT)

作者： Yang Zhao-sheng Tian Chun-lin Zhou Xi-yang Yu Yao Jilin Univ Sch Traff Sate Key Lab Automobile Simulat & Control Changchun 130022 Peoples R China

ISBN: (纸本)9781479905614

Aiming at the deficiencies of the traffic signal cycle optimization in the regional traffic signal control system and considering vehicle emission pollution, this paper proposed a traffic signal cycle optimization method based on bi-level programming model, and attempted to take reducing vehicle emission as one of the signal control objective parameters. Then the improved PSO algorithm was proposed to solve the optimization model. Finally, the effectiveness of the optimization model and the algorithm was verified through VISSIM and MATLAB. The results indicate that the traffic signal cycle optimization method proposed in this paper can effectively reduce the network delay and vehicle emission

关键词： signal cycle optimization bi-level programming model PSO algorithm vehicle emission

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The Design of Cement Production Information Management Analysis System 3

The Design of Cement Production Information Management Analy...

引用

3rd International conference on Computer Science and network Technology (ICCSNT)

作者： Wang Xin Jing Shaohong Univ Jinan Sch Elect Engn Jinan Peoples R China

ISBN: (纸本)9781479905614

To optimize the cement enterprise management and control, a system is designed. It combines the original networks of cement enterprise to collect and save the production data. The information of temperature, power consumption, coal consumption, etc. is included in the data. The system uses them to analyze the cement enterprise energy consumption, management efficiency and control statement. It also provides data support for the optimization of enterprise. And so far there is no such unified system.

关键词： cement system design data collection production process control Introduction

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Missile Trajectory optimization Using Steepest Ascent Method 3

Missile Trajectory Optimization Using Steepest Ascent Method

引用

3rd International conference on Computer Science and network Technology (ICCSNT)

作者： Khalil, Elsayed M. Hao, Zhou Chen, Wanchun Beihang Univ Sch Astronaut Beijing Peoples R China

ISBN: (纸本)9781479905614

A Steepest Ascent numerical procedure for offline trajectory optimization of a surface-to-surface missile attacking a stationary target is presented. A detailed numerical solution, starting from building the mathematical formulation till generating an offline angle of attack control history is illustrated. The formulation entails nonlinear 2-dimensional missile flight dynamics with mixed boundary conditions. The influences of the optimization algorithm controlling parameters are investigated. A new weighting matrix is proposed. Finally, a comparison between the obtained control history and the one obtained by a nonlinear optimal control package "GPOPS" is presented. The results indicate that the use of Steepest Ascent method, to a great extent, is comparable in accuracy and iteration time to the well known optimization package "GPOPS".

关键词： trajectory optimization Steepest Ascent influence functions step response

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A Study on PID Intelligent optimization based on Radial Basis Function Neural networks

A Study on PID Intelligent Optimization based on Radial Basi...

引用

3rd International conference on Consumer Electronics, Communications and networks (CECNet)

作者： Wu, Wei Zhong, Sheng Zhou, Guopeng Hainan Univ Coll Informat Sci & Technol Haikou Peoples R China Hubei Univ Sci & Technol Coll Elect & Informat Engn Wuhan Peoples R China

ISBN: (纸本)9781479928606

Application of Neural networks (NN) control receives worthy results in approximation to unknown dynamic systems. This paper presents an intelligent controller based on radial basis function neural networks as an improvement model from traditional PID control for the novelty: construct a radial basis function neural network to identify the uncertainly load disturbance online thus adjust parameters timely with self-adapting ability. The simulation verifies the effectiveness of this control strategy.

关键词： radial basis function neural networks intelligent control PID control

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A Bi-level Metaheuristic Approach to Designing Optimal Bus Transit Route network

A Bi-level Metaheuristic Approach to Designing Optimal Bus T...

引用

3rd IEEE Annual International conference on Cyber Technology in Automation, control and Intelligent System (CYBER)

作者： Fan, Wei Gurmu, Zegeye Haile, Elias Univ Texas Tyler Dept Civil Engn Tyler TX 75799 USA

ISBN: (纸本)9781479906109;9781479906123

The purpose of this paper is to develop a bi-level metaheuristic approach to solving the Optimal Bus Transit Route network Design Problem (OBTRNDP). A mix integer linear programming model is first formulated for the OBTRNDP. An innovative bi-level metaheuristic solution approach is then presented, in which the upper level finds the feasible network patterns (including the transit network routes and associated service frequencies), the lower level then evaluates such network solutions and provides feedback, and a genetic algorithm based metaheuristic approach is used to optimize the transit route network. network experiments are conducted. Numerical results and related characteristics are described in detail. Future research directions are also given.

关键词： Bi-level Metaheuristic Bus Transit Route network optimization Genetic Algorithm

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Frequency control of Electric Power Microgrids Using Distributed Cooperative control of Multi-agent Systems

Frequency Control of Electric Power Microgrids Using Distrib...

引用

3rd IEEE Annual International conference on Cyber Technology in Automation, control and Intelligent System (CYBER)

作者： Bidram, Ali Lewis, Frank L. Davoudi, Ali Qu, Zhihua Univ Texas Arlington Res Inst Arlington TX 76019 USA Univ Texas Arlington Dept Elect Engn Arlington TX 76019 USA Univ Cent Florida Dept Elect Engn & Comp Orlando FL 32816 USA

ISBN: (纸本)9781479906109;9781479906123

Distributed cooperative control of multi-agent systems is used to implement the secondary frequency control of microgrids. The proposed control synchronizes the frequency of distributed generators (DG) to the nominal frequency and shares the active power among DGs based on their ratings. This frequency control is implemented through a communication network with one-way communication links, and is fully distributed such that each DG only requires its own information and the information of its neighbors on the communication network graph. Due to the distributed structure of the communication network, the requirements for a central controller and complex communication network are obviated, and the system reliability is improved. Simulation results verify the effectiveness of the proposed secondary control for a microgrid test system.

关键词： Distributed cooperative control microgrids multi-agent systems secondary control

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The Analysis and Application of the Monitor Model of Gasifier Temperature Based on the PSO Neural network

The Analysis and Application of the Monitor Model of Gasifie...

引用

3rd International conference on Instrumentation & Measurement, Computer, Communication and control (IMCCC)

作者： Jia, Qun Li, Yongxin NUST Sch Mech Engn Nanjing Jiangsu Peoples R China HuaiNan Normal Univ Sch Elect & Informat Engn Huainan Peoples R China

ISBN: (纸本)9780769551227

The coal gasification technology is widely used in industrial production, but in its production process, there exists a tough problem that the gasifier temperature is not easy to detect and monitor. This paper proposes the approach of pso neural network, the neural network optimized by the particle swarm optimization(pso), and it adopts soft-sensing technique for real-time detection and monitoring. Therefore, the goal of improving the efficiency of production and providing the control decision can be realized.

关键词： particle swarm optimization neural network gasifier temperature

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Improved CCN Routing Based on the Combination of Genetic Algorithm and Ant Colony optimization 3

Improved CCN Routing Based on the Combination of Genetic Alg...

引用

3rd International conference on Computer Science and network Technology (ICCSNT)

作者： Huang, Pei Chen, Jianya Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Beijing Peoples R China

ISBN: (纸本)9781479905614

Content-Centric networking (CCN) proposes a shift from the traditional host-centric communication to a content-centric paradigm, which focuses on the delivery of content to target users. Routing mechanism is a major issue of CCN and has a pivotal role on CCN system performance, where content is addressed by their names instead of their host locations. However, traditional CCN routing is based on broadcast/multicast, which lacks control of the forwarding interfaces and may bring redundant retrieval. In this paper, we present a combination of Genetic algorithm and Ant Colony optimization (GAAC) for CCN routing optimization, based on the distributed caching mechanism of SoCCeR strategy. Our simulation results show that GAAC can accelerate convergence, reduce delay and achieve better performance.

关键词： CCN routing optimization Genetic Algorithm Ant Colony optimization

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