network simulator


In computer network research, network simulation is a technique whereby a software program models the behavior of a network by calculating the interaction between the different network entities.

Network Simulator (Version 2), widely known as NS is simply an eventdriven simulation tool that has proved useful in studying the dynamic nature of communication networks. Simulation of wired as well as wireless network functions and protocols (eg, routing

Network simulations with the ns-3 simulator
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We provide a demonstration of the emerging ns-3 discreteevent network simulator . Intended to eventually replace the popular ns-2 simulator , ns-3 has been under development for over two years, and the initial stable release is scheduled for June 2008. We aim to provide

REAL: A network simulator
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Performance analysis of computer networks is rapidly gaining importance as networks increase in size and geographical extent. A simulation approach is often useful. This report describes REAL, a computer network simulator , and presents results of some simulations to

Advanced WCDMA radio network simulator
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If only good coverage is required in GSM networks, high frequency reuse factors can be used. In that case the network capacity is directly determined by the number of available time slots, and no advanced radio control algorithms are needed. If high capacity is required

NS-3: Network simulator 3
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Outline NS-3 general overview NS-3 internal APIs overview

An energy framework for the network simulator 3 (ns-3)
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ABSTRACT The Network Simulator -3 (ns-3) is rapidly developing into a flexible and easy-to- use tool suitable for wireless network simulation. Since energy consumption is a key issue for wireless devices, wireless network researchers often need to investigate the energy

A network simulator differentiated services implementation. Open IP, Nortel Networks
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This report details the implementation of the Differentiated Services (Diffserv) architecture in the ns network simulator . It provides an overview of ns, a brief explanation of Diffserv, and a thorough examination of the modules added to create an ns Diffserv implementation

LENS: The light, efficient network simulator
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LENS is a neural network simulator designed for speed and ease of customization. On large networks, LENS is several times faster than most commonly used simulators. Although intended primarily for backpropagation networks, it also currently supports deterministic

Nano-Sim: simulating electromagnetic-based nanonetworks in the network simulator 3.
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The progress of nanotechnology is paving the way to the emerging concept of wireless nanosensor network (WNSN). In fact, it is now possible to create integrated machines at the nano scale, which interact on cooperative basis using wireless communications. The

An integrated vehicular and network simulator for vehicular ad-hoc networks
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Vehicular ad-hoc networks (VANETs) form when vehicles are equipped with devices capable of short-range wireless communication. Accurate simulation of VANETs is a challenging task, requiring both a vehicle mobility model and a network simulator . Although

MIN simulate. A multistage interconnection network simulator
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Multistage interconnection networks are frequently proposed as connections in multiprocessor systems or network switches. In this paper, a new tool for stochastic simulation of such networks is presented. Simple crossbars can be simulated as well as

A study of comparison of Network Simulator -3 and Network Simulator -2
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Network simulation is undoubtedly one of the most prevalent evaluation methodologies in the area of computer networks. While simulation is not the only tool used for data networking research, it is extremely useful because it often allows research questions and prototypes to

Fracture network modeling of Hijiori hot dry rock reservoir by deterministic and stochastic crack network simulator (D/SC)
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ABSTRACT D/SC (Deterministic/Stochastic Crack network simulator ) is a fracture network modeling system with a new technique for building a fracture network by using combined deterministic and stochastic information for the fractures. The basic concept is to put

Opnet- network simulator
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Page 1. Simulations and Tools for Telecommunications 521365S: OPNET Network Simulator Simulations and Tools for Telecommunications 521365S: OPNET Network Simulator Jarmo Prokkola Research team leader, M. Sc. (Tech.) VTT Technical Research Centre of Finland

The NIST ATM network simulator : Operation and programming
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ABSTRACT An Asynchronous Transfer Mode (ATM) network simulator has been developed to provide a means for researchers and network planners to analyze the behavior of ATM networks without the expense of building a real network . The simulator is a tool that gives

Implementation of BGP in a network simulator
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ABSTRACT Border Gateway Protocol (BGP) is the inter-domain routing protocol currently employed in the Internet. Internet growth imposes increasing requirements on BGP performance. Recent studies revealed that performance degradations in BGP are due to the

Comparative study of network simulator : NS2 and NS3
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Wireless Sensor Networks (WSNs) is built of few to several thousands of distributed interconnected sensor nodes. Deploying a complete testbed for such huge network becomes costly and time consuming. In such cases; network simulator saves lot of time and

Swans-scalable wireless ad hoc network simulator
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Wireless networking research is fundamentally dependent upon simulation. Analytically quantifying the performance and complex behavior of even simple protocols on a large scale is often imprecise. On the other hand, performing actual experiments is onerous

Overview of MPLS network simulator : Design and implementation
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The MPLS network simulator (MNS) has been implemented by extending Network Simulator (NS). MNS has been implemented on Sun Unix system extending ns 2.1 b5 program, NS version 2.1. To get the source program, example files, manual, and install guide of MNS click

Random neural network simulator (rnnsim) v. 2
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This Chapter contains important information on how the present set of tools is to be installed and the conditions under which it be used. The MATLAB m-files in this software distribution implement the recurrent learning algorithm of the random neural network (RNN)


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