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3rd conference on Next Generation Internet networks

作者： Adami, D. Giordano, S. Mustacchio, F. Pagano, M. Univ Pisa Dept Informat Engn CNIT Res Unit I-56100 Pisa Italy Univ Pisa Dept Informat Engn I-56100 Pisa Italy NetResults Srl Pisa Italy

ISBN: (纸本)9781424408566

Nowadays, many IP backbone networks adopt separate control and forwarding planes for unicast and multicast traffic flows. Indeed, while MPLS (Multiprotocol Label Switching) is widely deployed for unicast traffic, IP multicast is the only available solution for the delivery of "one-to-many" traffic flows. With P2MP LSPs (Point-to-Multipoint Label Switched Paths) support, a unified control and forwading plane may be devised. Such a reduction in the number of protocols used in the core of the network as well as in the number of encapsulations in the data plane, results in simplified network operations. The paper discusses the design and the development of the control and data planes extensions needed to provide P2MP LSP support in an MPLS network. In particular, such signalling and forwarding mechanisms have been implemented in a network testbed based on open-source routers. Finally, tests have been performed to assess the new mechanisms from both an operational and performance point-of-view.

关键词： MPLS Point-to-Multipoint (P2MP) LSP control plane forwarding plane

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Heuristic algorithm for fixed job scheduling problem

Heuristic algorithm for fixed job scheduling problem

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3rd International conference on Natural Computation (ICNC 2007)

作者： Xu, Jie Sun, Hong Yang, Wei Beijing Jiaotong Univ State Key Lab Rail Traff Control & Safety Beijing 100044 Peoples R China Civil Aviat Fly Coll CAAC Sci Res Base Civil Aviat Flight Technol & Sa Guangzhou 618307 Guangdong Peoples R China Xihua Univ Traff Transportat Res Chengdu 610039 Peoples R China

ISBN: (纸本)0769528759

In view of the characteristics of the fixed job scheduling problem, by establishing the sequential network model among work pieces the fixed job scheduling is converted into the optimal directed path decomposition problem, and the minimal path assignment cost of the sequential network model is the optimization objective. Then a heuristic algorithm based on the simulated annealing is presented, and applied to simulate the airline aircraft dispatching Problem. The result indicates that the algorithm can deal with the generally fixed job scheduling problem, whose computation complexity is O (M (m(3) + mn)).

关键词： Heuristic algorithms

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A globally convergent algorithm for transportation continuous network design problem

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optimization AND ENGINEERING 2007年第3期8卷 241-257页

作者： Gao, Ziyou Sun, Huijun Zhang, Haozhi Beijing Jiaotong Univ Sch Traff & Transportat State Key Lab Rail Traff Control & Safety Beijing 100044 Peoples R China

The continuous network design problem (CNDP) is characterized by a bilevel programming model, in which the upper level problem is generally to minimize the total system cost under limited expenditure, while at the lower level the network users make choices with regard to route conditions following the user equilibrium principle. In this paper, the bilevel programming model for CNDP is transformed into a single level convex programming problem by virtue of an optimal-value function tool and the relationship between System Optimum ( SO) and User Equilibrium (UE). By exploring the inherent nature of the CNDP, the optimal-value function for the lower level user equilibrium problem is proved to be continuously differentiable and its derivative in link capacity enhancement can be obtained efficiently by implementing user equilibrium assignment subroutine. However, the reaction (or response) function between the upper and lower level problem is implicit and its gradient is difficult to obtain. Although, here we approximately express the gradient with the difference concept at each iteration, based on the method of successive averages (MSA), we propose a globally convergent algorithm to solve the single level convex programming problem. Comparing with widely used heuristic algorithms, such as sensitivity analysis based (SAB) method, the proposed algorithm needs not strong hypothesis conditions and complex computation for the inverse matrix. Finally, a numerical example is presented to compare the proposed method with some existing algorithms.

关键词： continuous network design problem B-level programming method of successive averages global convergence

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A Parallel Link State Routing protocol for mobile ad-hoc networks

A Parallel Link State Routing protocol for mobile ad-hoc net...

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3rd International conference on Mobile Ad-Hoc and Sensor networks

作者： Yang, Dong Zhang, Hongke Wang, Hongchao Wang, Bo Yang, Shuigen Beijing Jiaotong Univ Beijing 100044 Peoples R China

ISBN: (纸本)9783540770237

With the network size growing, routing protocols of mobile ad-hoc networks (MANET) face many challenges. The most critical issue is the lack of bandwidth and computation capability. This paper describes the Parallel Link State Routing protocol (PLSR) that is suitable for MANET. The key concept used in the protocol is that of graph decomposition. This technique substantially raises the rate of routing updating;meanwhile it reduces the message overload as compared with a classical flooding mechanism and some other link state routing protocols. In PLSR, the network is a two-levels topology, and many problems caused by "flat" multi-hoppings will disappear. Thus, the second optimization is achieved by sub-network that reduces the control messages. As a third optimization, the routing computation will be in several sub-networks simultaneity. Hence, comparing with current link state algorithms, the routing table of PLSR will be regenerated quickly as the network topology changes.

关键词： ad-hoc network routing link state

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A study on programming model and heuristic optimization algorithms for WCDMA radio networks

A study on programming model and heuristic optimization algo...

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1st International conference on Communications and networking in China, ChinaCom '06

作者： Jie, Zhang Jun, Yang Aydin, Mehmet E. Dept. of Computing and Information Systems University of Bedfordshire United Kingdom

ISBN: (纸本)1424404630

The 3rd Generation (3G) cellular networks, such as WCDMA (wideband code-division multiple access) networks, require accurate network planning and optimization. However, the planning and optimization of WCDMA radio network, which is a highly dynamic and inter-dependent system, are often carried out based on the static snapshot simulation due to simplicity and time limitation. Therefore, importing the link-level performance with consideration to some essential factors, such as power control and soft handover, has been a trend. Due to the complexity and inter-dependency, these characteristics have not been considered together in the previous works. In this paper, we give a brief introduction to our programming models with consideration to these characteristics, and present optimisation strategies base on three major meta-heuristics, namely genetic algorithms (GA), simulated annealing (SA) and variable neighborhood search (VNS), are presented. Extensive experiment results are provided and the performances of different algorithms are compared. © 2006 IEEE.

关键词： Radio communication

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Application of evolutionary optimization techniques for optimal location and parameters setting of multiple UPFC devices

Application of evolutionary optimization techniques for opti...

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3rd International conference on Natural Computation (ICNC 2007)

作者： Shaheen, H. I. Rashed, G. I. Cheng, S. J. Huazhong Univ Sci & Technol Elect Power Secur & High Efficiency Lab Wuhan 430074 Peoples R China

ISBN: (纸本)0769528759

The Unified Power Flow controller (UPFC) is one of the most promising Flexible Alternating Current Transmission Systems (FACTS) devices for load flow control. UPFC can effectively control the load flow distribution, improve the usage of existing system installations, and improve the stabilities of the power network. However, the location of UPFC in the system plays a significant role in achieving such benefits. This paper deals with the application of two evolutionary optimization techniques, namely: Genetic Algorithm (GA) and Particle Swarm optimization (PSO) to find out the optimal number, the optimal locations, and the optimal parameters setting of Multiple UPFCs devices. These variables are optimized to maximize the system loadability with minimum installation cost of UPFCs device. To show the validity of the applied techniques and for comparison purposes, we performed simulation on an IEEE 6-bus and an IEEE 14-bus test power systems. The results we've obtained show that UPFC can significantly increase the system loadability. Our results also indicate that both techniques can successfully find out the optimal location and the optimal parameters setting of Multiple UPFCs.

关键词： Electric load flow

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Multi-units unified process optimization under uncertainty based on differential evolution with hypothesis test

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3rd International conference on Intelligent Computing

作者： Lv, Wenxiang Qian, Bin Huang, Dexian Jin, Yihui Tsinghua Univ Dept Automat Beijing 100084 Peoples R China

ISBN: (纸本)9783540742012

For large-scale chemical process, which consists of lots of production units, all units have their respective optimization objects which are often conflicting with each other for a series of constraints on material and energy balance. In this paper, the total solution with two layers structure strategy made up of multi-units unified optimization and predictive control of each unit is realized. For the global optimization has high dimension, serious nonlinearity and uncertainty, the optimization algorithm based on differential evolution (DE) is performed, while a hybrid DE approach combining hypothesis test (HT) to compare the optimization objects under uncertainty is proposed. The simulation results of an application example to a 20Mt/a gas separation process show that the proposed total solution with two layers structure strategy is successful and multi-units unified optimization method based on HTDE is effective and robust for solving the optimization problem under uncertainty.

关键词： Uncertainty analysis

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A quadratic optimization method for connectivity and coverage control in backbone-based wireless networks

A quadratic optimization method for connectivity and coverag...

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3rd Intelligent Sensors, Sensor networks and Information Processing conference

作者： Llorca, Jaime Kalantari, Mehdi Milner, Stuart D. Davis, Christopher C. Univ Maryland Dept Elect & Comp Engn College Pk MD 20742 USA Univ Maryland Dept Civil & Environm Engn College Pk MD 20742 USA

ISBN: (纸本)9781424415014

The use of directional wireless communications to form flexible mesh backbone networks, which provide broadband connectivity to capacity-limited wireless networks or hosts, promises to circumvent the scalability limitations of traditional homogeneous wireless networks. The main challenge in the design of directional wireless backbone (DWB) networks is to assure backbone network requirements such as coverage and connectivity in a dynamic wireless environment. This paper considers the use of mobility control, as the dynamic reposition of backbone nodes, to provide assured coverage-connectivity in dynamic environments. This paper presents a novel approach to the joint coverage-connectivity optimization problem by formulating it as a quadratic minimization problem. Quadratic cost functions for network coverage and backbone connectivity are defined in terms of the square distance between neighbor nodes, which are related to the actual energy usage of the network system. Our formulation allows the design of self-organized network systems which autonomously achieve energy minimizing configurations driven by local forces exerted on network nodes. The net force on a backbone node is defined as the negative energy gradient at the location of the backbone node. A completely distributed algorithm is presented that allows backbone nodes to adjust their positions based on information about neighbors' position only. We present initial simulation results that show the effectiveness of our force-based mobility control algorithm to provide network configurations that optimize both network coverage and backbone connectivity in different scenarios. Our algorithm is shown to be adaptive, scalable and self-organized.

关键词： Wireless networks

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Performance Evaluation for QoS Oriented Cross Layer optimization in OFDMA networks

Performance Evaluation for QoS Oriented Cross Layer Optimiza...

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3rd International conference on Wireless Communications, networking and Mobile Computing (WiCOM 2007)

作者： Wang, Jianwei Korhonen, Timo Zhao, Yuping Aalto Univ Commun Engn Lab FIN-02150 Espoo Finland Peking Univ Satellite & Wireless Commun Lab Beijing Peoples R China

ISBN: (纸本)9781424413119

Utility based cross layer optimization is a promising tool for wireless resource management in next generation wireless networks, which has been recently studied extensively. Numerous types of utility functions have been proposed and examined in the corresponding literature. However, the majority of the known utility functions only take a fixed mathematical form or are just based on simple combining, which can not fully exploit available network information. In this paper, we focus on a framework of QoS oriented cross layer optimization based on Adaptively Weighted Utility Functions (AWUF) in OFDMA networks. Under this framework, a sub-optimal solution is proposed, which has a potential ability to update control parameters in real-time and accommodate instantaneous QoS constrains. The simulation results revealed that the AUWF based algorithm not only achieved higher throughput, but also simultaneously reduced average queue length and packet delay under unsymmetrical traffic loads among multiple users.

关键词： Cross layer optimization AWUF QoS

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Advanced Intelligent Computing Theories and Applications with Aspects of Artificial Intelligence Third International conference on Intelligent Computing, ICIC 2007, Proceedings

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3rd International conference on Intelligent Computing, ICIC 2007

ISBN: (纸本)9783540742012

The proceedings contain 139 papers. The topics discussed include: a new watermarking approach based on neural network in wavelet domain;analysis of global convergence and learning parameters of the back-propagation algorithm for quadratic functions;application server aging prediction model based on wavelet network with adaptive particle swarm optimization algorithm;gait parameters optimization and real-time trajectory planning for humanoid robots;global asymptotic stability of Cohen-Grossberg neural networks with multiple discrete delays;global exponential stability of Cohen-Grossberg neural networks with reaction-diffusion and Dirichlet boundary conditions;global exponential stability of fuzzy Cohen-Grossberg neural networks with variable delays and distributed delays;and global exponential synchronization of a class of chaotic neural networks with time-varying delays.

关键词： Intelligent control

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