Treffer: MANET Multicast Model with Poisson Distribution and Its Performance for Network Coding

Title:
MANET Multicast Model with Poisson Distribution and Its Performance for Network Coding
Authors:
XIAO, Song, LU, Ji, CAI, Ning
Source:
IEICE transactions on communications. 94(3):823-826
Publisher Information:
Tokyo: Communications Society, 2011.
Publication Year:
2011
Physical Description:
print, 8 ref
Original Material:
INIST-CNRS
Subject Terms:
Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Théorie du signal et des communications, Signal and communications theory, Codage, codes, Coding, codes, Télécommunications, Telecommunications, Systèmes, réseaux et services de télécommunications, Systems, networks and services of telecommunications, Organisation et planification des réseaux (techniques et équipements), Organization and planning of networks (techniques and equipments), Transmission et modulation (techniques et équipements), Transmission and modulation (techniques and equipments), Réseaux téléinformatiques. Rnis, Teleprocessing networks. Isdn, Evaluation et optimisation des caractéristiques. Simulation, Valuation and optimization of characteristics. Simulation, Architecture réseau, Network architecture, Arquitectura red, Codage aléatoire, Random coding, Codificación aleatoria, Codage linéaire, Linear coding, Codificación lineal, Commutation paquet, Packet switching, Conmutación por paquete, Diffusion donnée, Data broadcast, Difusion dato, Diffusion information, Information dissemination, Difusión información, Débit information, Information rate, Índice información, Décodage, Decoding, Desciframiento, Evaluation performance, Performance evaluation, Evaluación prestación, Fonction analytique, Analytical function, Función analítica, Implémentation, Implementation, Implementación, Loi Poisson, Poisson distribution, Ley Poisson, Modèle dynamique, Dynamic model, Modelo dinámico, Multidestinataire, Multicast, Multidestinatario, Méthode analytique, Analytical method, Método analítico, Perte transmission, Transmission loss, Pérdida transmisión, Radiocommunication service mobile, Mobile radiocommunication, Radiocomunicación servicio móvil, Routage, Routing, Enrutamiento, Réseau ad hoc mobile, Mobile ad hoc network, Red móvil ad hoc, Réseau sans fil, Wireless network, Red sin hilo, Réseau transmission donnée, Data transmission network, Red transmisión datos, Taux perte, Loss rate, Porcentaje pérdida, Transmission donnée, Data transmission, Transmisión datos, Transmission information, Information transmission, Transmisión información, Télécommunication sans fil, Wireless telecommunication, Telecomunicación sin hilo, Codage de réseau, Network coding, mobile ad-hoc network (MANET), multicast, poisson distribution, random linear network coding (RLNC)
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
ISN National Key Lab., Xidian University, Xi'an, 710071, China
ISSN:
0916-8516
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=24114041
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Telecommunications and information theory
Accession Number:
edscal.24114041
Database:
PASCAL Archive

Weitere Informationen

Network Coding (NC) can improve the information transmission efficiency and throughput of data networks. Random Linear Network Coding (RLNC) is a special form of NC scheme that is easy to be implemented. However, quantifying the performance gain of RLNC over conventional Store and Forward (S/F)-based routing system, especially for wireless network, remains an important open issue. To solve this problem, in this paper, based on abstract layer network architecture, we build a dynamic random network model with Poisson distribution describing the nodes joining the network randomly for tree-based single-source multicast in MANET. We then examine its performance by applying conventional Store and Forward with FEC (S/F-FEC) and RLNC methods respectively, and derive the analytical function expressions of average packet loss rate, successful decoding ratio and throughput with respect to the link failure probability. An experiment shows that these expressions have relatively high precision in describing the performance of RLNC. It can be used to design the practical network coding algorithm for multi-hop multicast with tree-based topology in MANET and provide a research tool for the performance analysis of RLNC.