DocumentCode
3371211
Title
Secure sparse network coding for reliable routing in large scale DTMN
Author
Chanyour, Tarik ; Saadane, Rachid ; Belkasmi, Mostafa
Author_Institution
SIME Labo, Mohammed V-Rabat Univ., Rabat, Morocco
fYear
2015
fDate
13-15 May 2015
Firstpage
57
Lastpage
62
Abstract
Security issue occupies an important part in all communication system and especially for new generation networks. Among these networks, we find Delay Tolerant Mobile Networks (DTMNs) which are a class of useful but challenging networks. Combining Network Coding (NC) and clustering for routing in such networks gives more efficiency and copes with routing reliability problem among large scale networks. Our work´s concern is to build a secure network coding scheme in the presence of eavesdroppers in large-scale DTMNs. Therefore, we used a cluster based routing protocol dedicated to DTMN specificities. In addition, we used Sparse Random Linear Network Coding (SRLNC) to feat low computational capabilities requirement in such networks. Furthermore, we addressed the packets retransmission decision problem for SRLNC with a fair trade-off throughput/overhead. The results are very encouraging and the proposed routing scheme has the advantage to be reliable as well as secure for large scale DTMN.
Keywords
delay tolerant networks; mobile communication; network coding; routing protocols; telecommunication network reliability; cluster based routing protocol; delay tolerant mobile networks; large scale DTMN; reliable routing; routing reliability problem; secure network coding scheme; secure sparse network coding; sparse random linear network coding; Decoding; Delays; Encoding; Logic gates; Network coding; Reliability; Routing; DTMN; clustring; large scale DTMN; routing; secure network coding; sparse random linear network coding;
fLanguage
English
Publisher
ieee
Conference_Titel
RFID And Adaptive Wireless Sensor Networks (RAWSN), 2015 Third International Workshop on
Conference_Location
Agadir
Print_ISBN
978-1-4673-8095-9
Type
conf
DOI
10.1109/RAWSN.2015.7173280
Filename
7173280
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