Large-scale network simulations with GTNetS

In this study, a tool was developed for design and implementation of a new discrete event based distributed simulation for large-scale networks. By using DEVS as a modelling approach, client / server based, scalable, platform-independent, flexible new network modelling and simulation tool called 'D-DEVSNET' was designed and performance analysis were conducted. In order to show the performance of the network simulation tool, D-DEVSNET and the power of the DEVS approach on parallel and distributed applications, some tests were carried out such as the measurement of throughput capability of different sized networks in a certain period of time, the average end-to-end packet delay and the amount of packet loss, consumption of speed and memory. According to the tests that were conducted, D-DEVSNET has been proven a well-scalable and high performing simulation tool.

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“…By Fujimoto et al [7], ns-2, PDNS [26] and GTNeTS [27] simulation tools were compared and it was indicated that ns-2 works quicker.…”

Section: Comparison Of Network Simulation Toolsmentioning

confidence: 99%

Implementation of DEVS Based Distributed Network Simulator for Large-Scale Networks

Çobanoğlu¹,

Zengi̇n²,

Ekiz³

2014

Int. j. simul. model.

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“…One of the most common approaches is to use integrated simulation environments such as ns-2 [4], ns-3 [5], OMNeT, NCTUns, GTNets [6]. The main advantage is the availability of precise and well tested models of communication protocols.…”

Section: Simulation Environment Selectionmentioning

confidence: 99%

ETSI compliant GeoNetworking protocol layer implementation for IVC simulations

Taysi

Yavuz

2013

Hum. Cent. Comput. Inf. Sci.

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Inter-Vehicle Communication (IVC) is an important component of the ITS architecture, that enables Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications. GeoNet project brought the IVC one step further by enabling transparent IP connectivity between vehicles and the infrastructure. Specifications produced by the GeoNet project have been incorporated into several ETSI standards, which define the geonetworking protocol layer and the IPv6-over-geonetworking adaptation layer. In this paper, we propose an ETSI complaint geonetworking protocol layer on the well known NCTUns simulation framework. We discuss the architecture of our implementation as well as NCTUns specific issues encountered during the implementation. We believe that, with this contribution, the researchers are provided with a scalable and flexible framework with Berkeley socket API access to applications and SQL based performance logging for post simulation evaluations.

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“…The design of GTNetS matches closely the design of actual network protocol stacks and other network elements. Further, GTNetS was designed from the beginning to run a distributed environment, leading to better scalability Cheng et al (2006); Riley (2003); Zhang & Riley (2004).…”

Section: Gtnetsmentioning

confidence: 99%

Wireless Sensor Networks: Modelling and Simulation

Mahlknecht¹,

Madani²,

Kazmi³

2010

Discrete Event Simulations

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Although different modeling techniques have been proposed during the last 300 years, the differential equation formalism proposed by Newton and Leibniz has been the tool of choice for modeling and problem solving Taylor (1996);Wainer (2009). Differential equations provide a formal mathematical method (sometimes also called an analytical method) for studying the entity of interest. Computational methods based on differential equations could not be easily applied in studying human-made dynamic systems (e.g., traffic controllers, robotic arms, automated factories, production plants, computer networks, VLSI circuits). These systems are usually referred to as discrete event systems because their states do not change continuously but, rather, because of the occurrence of events. This makes them asynchronous, inherently concurrent, and highly nonlinear, rendering their modeling and simulation different from that used in traditional approaches. In order to improve the model definition for this class of systems, a number of techniques were introduced, including Petri Nets, Finite State Machines, min-max algebra, Timed Automata, etc. Banks & Nicol. (2005) (2000); Toffoli & Margolus. (1987). Wireless Sensor Network (WSN) is a discrete event system which consists of a network of sensor nodes equipped with sensing, computing, power, and communication modules to monitor certain phenomenon such as environmental data or object tracking Zhao & Guibas (2004). Emerging applications of wireless sensor networks are comprised of asset and warehouse * madani@ciit.net.pk † jawhaikaz@ciit.net.pk ‡ mahlknecht@ict.tuwien.ac.at 1 www.intechopen.com management, automotive, home and building automation, civil infrastructure monitoring, healthcare, industrial process control, military battlefield awareness, and security and surveillance Cerpa et al. (2001). As discussed earlier, modeling and simulation is a mean to verify the working and to measure the effectiveness of the different techniques proposed for WSNs. Analytical modeling provides quick insight for the techniques developed for WSNs but fail to give realistic results because of WSN specific constraints like limited energy and sheer number of sensor nodes Chen et al. (2006). Real world implementation and test beds are the most accurate method to verify the concepts but are restricted by costs, effort, and time factors as well as repeating environmental conditions is also not possible Zeigler (1976). Simulations provide a good approximation to verify different schemes and applications developed for WSNs at low cost and in less time. To have credible results through simulation, the choice of models and the simulation environment is important. There is always a tradeoff between credible simulation results and the time required to get these simulation results. The results always depend upon the level of abstraction of the models. The more detailed is the model, the better the accuracy of results but higher the amount of time required for simulation. The models used for simulation ...

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Large-scale network simulations with GTNetS

Cited by 53 publications

References 17 publications

Implementation of DEVS Based Distributed Network Simulator for Large-Scale Networks

Implementation of DEVS Based Distributed Network Simulator for Large-Scale Networks

ETSI compliant GeoNetworking protocol layer implementation for IVC simulations

Wireless Sensor Networks: Modelling and Simulation

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