Result: Symbol-level reliable broadcasting of sensitive data in error-prone wireless networks

Title:
Symbol-level reliable broadcasting of sensitive data in error-prone wireless networks
Source:
Journal of parallel and distributed computing (Print). 74(7):2673-2685
Publisher Information:
Amsterdam: Elsevier, 2014.
Publication Year:
2014
Physical Description:
print, 30 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Mathematics, Mathématiques, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, 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, Réseaux téléinformatiques. Rnis, Teleprocessing networks. Isdn, Méthodes d'accès et protocoles, modèle osi, Access methods and protocols, osi model, Radiocommunications, Classification hiérarchique, Hierarchical classification, Clasificación jerarquizada, 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, Erreur transmission, Transmission error, Error transmisión, Fiabilité, Reliability, Fiabilidad, Protocole réseau, Network protocol, Protocolo red, Recherche scientifique, Scientific research, Investigación científica, Réseau sans fil, Wireless network, Red sin hilo, Solution optimale, Optimal solution, Solución óptima, Symbole, Symbol, Símbolo, Codage réseau, Network coding, Codificación en redes, Broadcasting, Error-prone channel, Random linear network coding, Symbol-level coding, Weight, Wireless networks
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
Department of Computer & Information Sciences, Temple University, Philadelphia, PA 19122, United States
Department of Electrical & Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, United States
ISSN:
0743-7315
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:
Computer science; theoretical automation; systems

Telecommunications and information theory
Accession Number:
edscal.28580512
Database:
PASCAL Archive

Further Information

Reliable packet transmission over error-prone wireless networks has received a lot of attention from the research community. In this paper, instead of using simple packet retransmissions to provide reliability, we consider a novel retransmission approach, which is based on the importance of bits (symbols). We study the problem of maximizing the total gain in the case of partial data delivery in error-prone wireless networks, in which each set of bits (called symbols) has a different weight. We first address the case of one-hop single packet transmission, and prove that the optimal solution that maximizes the total gain has a round-robin symbol transmission pattern. Then, we extend our solution to the case of multiple packets. We also enhance the expected gain using random linear network coding. Our simulation results show that our proposed multiple packets transmission mechanism can increase the gain up to 60%, compared to that of a simple retransmission. Moreover, our network coding scheme enhances the expected total gain up to 15%, compared to our non-coding mechanism.