Multicast Address Management and Connection Control Based on Hierarchical Autonomous Structure

Multicast capability, including multicast address and multicast rout- ing mechanisms, at the network layer is necessary in order to reduce the band- width requirements of multiparty, multicast applications. Based on hierarchical au- tonomous structure in accordance with the self-organization topologies of Internet, the paper puts forward a multicast address management scheme that is shown to be robust and scalable. Connection control hierarchy (CCH) based on master/slave re- lationship and a simple efficient building algorithm of multi-point connection is also built. The paper also describes the normal operations of multicast address manage- ment and multi-point connection controller. Through simulation experiment, HAM, CM and DDM of Multicast Address Allocation are compared. HAM integrates the merits of CM and DDM, which is efficient as a whole, robust and scalable. CCH raises the efficiency of connection control, and is highly robust, flexible and scalable.

Adaptive signal control and coordination for urban traffic control in a connected vehicle environment: A review

Existing signal control systems for urban traffic are usually based on traffic flow data from fixed location detectors.Because of rapid advances in emerging vehicular communication,connected vehicle(CV)-based signal control demonstrates significant improvements over existing conventional signal control systems.Though various CV-based signal control systems have been investigated in the past decades,these approaches still have many issues and drawbacks to overcome.We summarize typical components and structures of these existing CV-based urban traffic signal control systems and digest several important issues from the summarized vital concepts.Last,future research directions are discussed with some suggestions.We hope this survey can facilitate the connected and automated vehicle and transportation research community to efficiently approach next-generation urban traffic signal control methods and systems.

联接主义智能控制综述

综述了近年来联接主义智能控制的理论和应用上的研究进展 ,覆盖了神经网络的逼近和泛化能力、神经网络与混沌、监督学习算法等基本性质 ,以及神经网络建模、预测、优化和控制等联接主义智能控制系统的各个部分 ,并对今后的研究发展提出了展望 .

Simulation of grid tracking control of power system connection and maximum power brushless doubly-fed generator in point wind

In this paper, based on the analysis of the mathematical model in a common synchronous reference frame of the brushless doubly-fed generator （BDFG）, the grid connection strategy and maximum energy extraction control were both analyzed. Besides, the transient simula- tion of no-load model and generation model of the BDFG have been developed on the MATLAB/Simulink platform. The test results during cutting-in grid confirmed the good dynamic performance of grid synchronization and effective power control approach for the BDFG-based variable speed wind turbines.

Connection Admission Control in ATM Networks Based on the Foreground and Background Neural Networks

Connection Admission Control(CAC)in ATM networks is the set o/actions taken by the networkto decide whether to accept connection requests during the phase of call establishment or call re-negotiation.CAC is an integral part of the preventive congestion control in ATM networks whose aim is to ensurenetwork performance.The CAC algorithm has the characteristics of the multitude of control parameters,high degree of computation complexity and strong time restrictions.In this paper we present a CACmechanism featured by combination of foreground control and background learning which is based onneural networks having the capabilities of self-learning and high-Speed processing.A case study is given,after which we discuss the practicability of the proposed algorithm.

A structural comparison of measurement-based admission control algorithms

Measurement-based admission control （MBAC） algorithm is designed for the relaxed real-time service. In contrast to traditional connection admission control mechanisms, the most attractive feature of MBAC algorithm is that it does not require a prior traffic model and that is very difficult for the user to come up with a tight traffic model before establishing a flow. Other advantages of MBAC include that it can achieve higher network utilization and offer quality service to users. In this article, the study of the equations in the MBAC shows that they can all be expressed in the same form. Based on the same form, some MBAC algorithms can achieve same performance only if they satisfy some conditions.

DEMONSTRATING THE SYNERGY BETWEEN CAC AND SCHEDULING IN WIRELESS NETWORKS

Wireless technology is now an integral part of communication network infrastructure.From their first beginnings,such as connection-oriented General System Mobile networks for voice traffic only and connectionless wireless local area networks for data traffic,new generation wireless networks are connection-oriented and provide differentiated services to the user.With the arrival of more sophisticated services and mobility,have arisen the need for Connection Admission Control and traffic scheduling in the network to enhance the quality of experience(QoE)of the user and optimizing the revenue in dynamic workload environments.A great deal of research effort has gone into the study of the performance of one such network standard,namely the IEEE 802.16 networks.Most optimization studies focus on scheduling(a very mature subject in computing)and ignore connection admission(a very mature subject in telephone engineering)or vice versa.In this paper we claim that one should not study the two in isolation and provide empirical evidence to prove our claim.