Simulation Based Performance Comparison of Community Model, GFMM, RPGM, Manhattan Model and RWP-SS Mobility Models in MANET

Gowrishankar, S.; Sarkar, SubirKumar; Basavaraju, T. G.

doi:10.1109/netcom.2009.31

Cited by 15 publications

(2 citation statements)

References 12 publications

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“…Este motor cuenta con dos versiones, la primera desarrollada por la Universidad de Carnegie Mellon y la segunda por la Universidad de Michigan. Entre los modelos incluidos en el set dest están el Modelo de punto aleatorio, el modelo de Referencia de Grupo, el modelo de camino libre y el Modelo Manhattan [7].…”

Section: Simulación De Modelos De Movilidadunclassified

Simulación de redes inalámbricas en NS-2

Zárate-Ceballos

Ortiz-Triviño

2015

Respuestas

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Antecedentes: Las redes Ad hoc son un nuevo paradigma dentro de las redes inalámbricas debido a sus características dinámicas y de auto configuración, aparecen como respuesta de conectividad para diferentes situaciones donde se requieren características adicionales a las ofrecidas por las redes convencionales, como protocolos de enrutamiento eficientes, interoperabilidad entre los dispositivos móviles y propiedades como el cambio de rol de los nodos dentro de la red. Objetivo: El objetivo del presente trabajo es generar diferentes entornos simulados en el software Network Simulator 2, variando los protocolos de enrutamiento, los servicios prestados y el tráfico en general para validar el rendimiento de una red Ad hoc. Métodos: Se presenta una detallada descripción de las características del simulador y de las abstracciones usadas para modelar cada uno de los elementos de red, resaltando la abstracción del nodo móvil quien hace las veces de terminal o enrutador con atributos de movilidad, consumo energético, manejo de protocolos de enrutamiento y cobertura, simulando todas las capas de red de un sistema real, se usan protocolos de enrutamiento reactivos y proactivos como lo son el AODV y el DSR, de la misma manera el protocolo FEBA en redes Mesh. Resultados: Al validar el rendimiento de los escenarios se utilizó una estructura Mesh para evaluar el efecto de redundancia multicanal, respecto a las arquitecturas tradicionales en redes Ad hoc y el número de saltos requeridos para la transmisión es mayor a las Mesh, lo cual genera latencia en las comunicaciones, las métricas mejoran con protocolos reactivos y aumentan con redundancia. Generando canales dedicados para el tráfico producido por los servicios, mejorando notablemente en más de 5 veces el rendimiento de una red ad hoc convencional. Conclusión El simulador NS-2 de código abierto es una herramienta vital, para modelar y simular redes de cualquier tipo, con la ventaja de poder modificar y crear las librerías existentes para crear ambientes simulados, más reales y que respondan a una necesidad de comunicaciones como lo es en situaciones de emergencia.Abstract Background: The Ad hoc networks are a new paradigm in wireless networks due to its dynamic characteristics and autoconFiguration, appear in response connectivity to different situations where additional to those offered by conventional networks such as protocols for efficient routing features are required, interoperability between mobile devices and properties as the changing role of the nodes within the network. Objective: The objective of this work is to generate different environments simulated in the Network Simulator 2 software, varying routing protocols, service and overall traffic to validate the performance of an Ad hoc network. Methods: A detailed description of the characteristics of the simulator ISSN 0122-820X and abstractions used to model each of the network elements is presented, highlighting the mobile node abstraction who acts as a router or terminal mobility attributes, energy consumption management protocols routing and coverage, simulating all network layers of a real system, reactive and proactive protocols routing are used as AODV and DSR, in the same way the FEBA protocol in Mesh networks. Result: To validate the performance of the scenarios one Mesh structure was used to evaluate the effect of multichannel redundancy, compared to traditional architectures in Ad hoc networks and the number of hops required for transmission is greater than the Mesh, which generates latency in communications, metrics improve with reactive protocols and increase redundancy. Generating dedicated for traffic produced by the services, improving considerably more than 5 times the performance of a conventional Ad hoc network channels. Conclusion: The NS-2 simulator open source is a vital tool for modeling and simulating networks of any type, with the advantage of being able to modify and create existing libraries to create simulated environments more realistic and responsive to a need for communications as it is in emergency situations.Palabras Clave: Redes Ad Hoc, Redes Mesh, Simulador de Redes 2(NS-2), Simulación

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Section: Simulación De Modelos De Movilidadunclassified

Simulación de redes inalámbricas en NS-2

Zárate-Ceballos

Ortiz-Triviño

2015

Respuestas

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“…On the whole, the modeling of the synthetic model is relatively simple; however, this kind of model is limited to the random movement model and does not consider the restriction of the environment [11]. While it is difficult to create a trace model because of the complex behavior logic and low robustness of the model, due to the smaller coverage radius of the 5G cellular network, more access devices, and more complex mobility of network nodes, the traditional mobility models are gradually unable to meet the required performance requirements of simulation [12,13].…”

Section: Introductionmentioning

confidence: 99%

Trajectory Mining‐Based City‐Level Mobility Model for 5G NB‐IoT Networks

Zhang

Zhong

Zheng

et al. 2021

Wireless Communications and Mobile Computing

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Due to the large coverage of 5G NB-IoT networks, a more realistic mobility model for a macroscopic scene will greatly facilitate the development of optimal radio resource management algorithms. However, models devised for a random motion scene are no longer applicable in circumstances. Therefore, in this paper, a city-level mobility model is proposed based on the feature mining of the real trajectory of vehicles in the city of Shenzhen. The proposed model is separately designed in the motion trajectory to reduce the mutual influence between the time and spatial sequence. Simulation results show that it can better present specific node motions with the physical constraints of the city layout, which are motivated with a high degree of fit in terms of self-similarity, hotspots, and long-tail features.

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Social‐aware delay tolerant networking for mobile‐to‐mobile file sharing

Palazzi

Bujari

2011

Int J Communication

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SUMMARY Peer‐to‐peer (P2P) overlay networks and mobile ad hoc networks share many key characteristics such as self‐organization and decentralization; they also face the crucial challenge of providing connectivity in a decentralized, dynamic environment. However, when considering ad hoc networks composed of mobile devices such as smartphones, we cannot rely on the continuous end‐to‐end path between peers as for classic Internet P2P applications; rather, we have to deal with low node density that creates mobile‐disconnected networks. Porting the P2P paradigm into mobile networks to create a mobile‐to‐mobile file sharing application will create a modern type of delay/disruption tolerant network. In this context, we discuss our new approach for P2P file sharing that considers networks composed of mobile smartphones. As an innovative feature, we leverage on peer mobility to reach data in other disconnected networks by implementing a delay/disruption tolerant network‐like store‐delegate‐and‐forward communication model, where a peer can delegate unaccomplished file download tasks to other peers. In order to increase the chances of eventually receiving the requested file while reducing the number of transmitted messages and data, social awareness is exploited by nodes to delegate unaccomplished tasks only to peers that are expected to be encountered again in the future. Copyright © 2011 John Wiley & Sons, Ltd.

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Simulation Based Performance Comparison of Community Model, GFMM, RPGM, Manhattan Model and RWP-SS Mobility Models in MANET

Cited by 15 publications

References 12 publications

Simulación de redes inalámbricas en NS-2

Simulación de redes inalámbricas en NS-2

Trajectory Mining‐Based City‐Level Mobility Model for 5G NB‐IoT Networks

Social‐aware delay tolerant networking for mobile‐to‐mobile file sharing

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