The Experts below are selected from a list of 407421 Experts worldwide ranked by ideXlab platform
Wu Junhong - One of the best experts on this subject based on the ideXlab platform.
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Network Simulation Method and OPNET's Simulation Technology
Computer Engineering, 2004Co-Authors: Wu JunhongAbstract:With deep study of Simulation method and Simulation technology, this paper describes the scientific Network Simulation method and its matter. Then it studies the key OPNET's Simulation technology and gives the working program of OPNET in scientific Network Simulation study .
Li Ya-fang - One of the best experts on this subject based on the ideXlab platform.
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Interactive Network Simulation Technology Based on the High Level Architecture
Computer Simulation, 2006Co-Authors: Li Ya-fangAbstract:The idea of modeling transparent Network Simulation to users and reappearing communication Network realistically by utilizing interactive Network Simulation technologies was advanced. The application of Network Simulation technologies in interactive Simulation through High Level Architecture (HLA) was pointed out. In this way, the shortcoming that current Simulation software could only simulate Network models with fixed parameters was conquered. Realizing communication between Network Simulation software and external users was implemented by joining Network Simulation software and user console into HLA, and exchanging information through RTI, which acts as a soft bus in the system. In this way, traditional discrete-event-driven Simulation software, which could not provide interface to external users, is able to interact with users while running and thus interactive Network Simulation system is realized.
Jennifer C. Hou - One of the best experts on this subject based on the ideXlab platform.
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Design, Realization and Evaluation of a Component-based, Compositional Network Simulation Environment
2016Co-Authors: Ahmed Sobeih, Jennifer C. HouAbstract:In this paper, we present a component-based Network Simulation environment that provides a systematic way to simulate, with high fidelity, protocol operations in a variety of target Network architectures. We take a four-step approach to developing such a composable Network sim-ulation environment with reusable components. First, we lay a component-based software architecture, called the autonomous component architecture (ACA). Second, we propose a new real-time, process-driven Simulation technique that fits naturally in ACA and simulates the real sys-tem realistically. Third, we devise a packet-based Network Simulation framework, called extensible interNetworking framework (INET), on top of ACA. Fourth, we implement in Java both ACA and INET, and several representative suites of protocol components in a variety of Network architectures. The resulting codes, along with a scripting framework, constitute a Network Simulation environment called J-Sim. By virtue of the many desirable features inherited from ACA, the J-Sim environment meets the flexibility, composability, reusability, extensibility and diagnosability requirements. The price J-Sim pays for the many desirable features is, however, the inter-component communication over-head. In this paper, we show (via experimentation) that this overhead is not significant (in the range of 0.2–0.6s), and J-Sim achieves better scalability than two other Network simulators in the public domains, ns-2 and Scalable Simulation Framework Network Models (SSFNET), in terms of both the experiment setup time and the Simulation completion time
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Toward Efficient and Scalable Wireless Network Simulation
2005Co-Authors: Chunyu Hu, Jennifer C. HouAbstract:The broadcast nature of the wireless medium and its susceptibility to interference not only affects the capacity of wireless Networks but also has an impact on the fidelity, accuracy and efficiency of wireless Network Simulation. This is because transmission of a wireless signal has to be received and processed by a potentially large number of nodes that operate on the same channel. How to faithfully and yet effectively carry out Simulation has thus been an important issue to realizing real-time, large scale wireless Network Simulation. In this paper, we take a systematic approach and investigate the process of signal transmission in the various stages: signal propagation, signal interference, and interaction with the PHY/MAC layers. We identify the key components that affect the Simulation performance and quantify their impacts whenever possible. Specifically, we first investigate the impact of the signal propagation limit on the accuracy and efficiency of Simulation. Second, we devise a simple computation model to capture the effect of the grid size — the parameter that characterizes how nodes that are subject to interference are being located — on Simulation efficiency in a concave manner and derive its optimal value. Third, we make a key observation on whether or not, and when, a node needs to respond to a signal arrival event from the perspective of the MAC layer, and propose a reactive channel model (RCM) which can effectively reduce the large number of events related to signal transmissions by an order of magnitude. The Simulation results have demonstrated that RCM, with the appropriate choices of the signal propagation limit and grid size, gives an order of magnitude improvement in the execution time. This, coupled with the fact that RCM can be implemented in a modular manner, requires only modest changes to existing PHY/MAC layers in the simulator, and does not incur extra memory consumption, suggests that RCM is a promising approach to enabling large-scale wireless Network Simulation.
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SIGMETRICS - A reactive channel model for expediting wireless Network Simulation
Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems - SIGMETRICS '05, 2005Co-Authors: Chunyu Hu, Jennifer C. HouAbstract:A major problem with leveraging event-driven, packet-level Simulation environments, such as ns2[6], J-Sim[1], OpNet[2]), and QualNet[3]), in conducting wireless Network Simulation is the vast number of events generated, a majority of which are related to signal transmission in the PHY/MAC layers.In this extended abstract, we investigate the operations of signal transmission in the various stages: signal propagation, signal interference, and interaction with the PHY/MAC layers, and identify where events can be reduced without impairing the accuracy. We propose to leverage the MAC/PHY state information, and devise (from the perspective of Network Simulation) a reactive channel model (RCM) in which nodes explicitly register their interests in receiving certain events according to the MAC/PHY states they are in and the corresponding operations that should be performed. The Simulation study indicates that RCM renders an order of magnitude of speed-up without compromising the accuracy of Simulation results. An advantage of RCM with respect to the implementation is that there is no need to re-design the channel model for each specific MAC layer, and the modification made in the MAC/PHY layers is quite modest (e.g., a few API changes). This, coupled with the performance gain, suggests that RCM is an attractive, light-weight mechanism for expediting wireless Network Simulation.
Chen Ping - One of the best experts on this subject based on the ideXlab platform.
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Study of Large-Scale Network Simulation Methods
Computer Simulation, 2005Co-Authors: Chen PingAbstract:AbstrcatNowadays, computer Simulation has become an efficient evaluation tool for studying computer Networks. With the constantly increasing scale and complexity of modern Network, the requirement for large-scale Simulation becomes more and more urgent. Consequently, the scalability of Network Simulation becomes particularly important. This paper first points out the fundamental issue such as large memory and CPU consumption in simulating large-scale Network. Then three methods and related tools for improving scalability of Network Simulation are mainly discussed, including PADS, Simulation abstraction and Simulation algorithm optimization. Finally, the paper makes a summary and points out the future trends in large scale Network Simulation area.
Min Zhao - One of the best experts on this subject based on the ideXlab platform.
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Novel Network Simulation model of sensor Networks with complex Network charateristics
IET International Conference on Communication Technology and Application (ICCTA 2011), 2011Co-Authors: Dahai Han, Xinyuan Lai, Kai Zhang, Min ZhaoAbstract:This article introduces a novel Network Simulation model of sensor Networks. We make a little modification and present a more realistic Network model based on complex Network theory. Based on the dynamical analysis and complex Network characteristics of Sensor Networks, the authors construct a high-survivability sensor Networks evolution model with the model of linear expanding in the local-world. The Network Simulation is made to verify the model fittingness of sensor Networks, includes robustness and survivability of sensor Networks, the experiment results verify the feasibility of using this model to research Network control policy, routing mechanism and Network hierarchy of Sensor Networks.