Genetic algorithm based rainbow network flow optimization for multiple description coding in lossy network

Author

Kusetogullari, Huseyin ; Yavariabdi, Amir ; Leeson, Mark S. ; Hines, Evor L.

Author_Institution

Sch. of Eng., Univ. of Warwick, Coventry, UK

fYear

2010

fDate

8-11 Nov. 2010

Firstpage

1

Lastpage

6

Abstract

In this paper, multi-path optimization using genetic algorithm (GA) and rainbow network flow (RNF) for maximizing the received multiple description coding (MDCs) in a lossy network model is proposed. The network flow of multiple description codes (MDCs) is considered and the idea of routing as finding paths for a rainbow of colours (rainbow network flow or RNF) incorporated. The GA is used to find the optimum disjoint paths between source node and the destination node to optimize the amount of outgoing MDC packets. The MDCs are generated by applying the Discrete Wavelet Transform (DWT) and provide maximal performance of the bandwidth capacity of every single route for image transmission across the network. The GA based method finds the optimum solution and the effects of variations in GA parameters are investigated.

Keywords

discrete wavelet transforms; genetic algorithms; image coding; telecommunication network routing; visual communication; DWT; MDC; RNF; bandwidth capacity; discrete wavelet transform; genetic algorithm; image transmission; lossy network model; multipath optimization; multiple description coding; network routing; rainbow network flow optimization; Fires; Image color analysis; Image reconstruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet Technology and Secured Transactions (ICITST), 2010 International Conference for

Conference_Location

London

Print_ISBN

978-1-4244-8862-9

Electronic_ISBN

978-0-9564263-6-9

Type

conf

Filename

5678113