Title :
A Population Based Incremental Learning for Network Coding Resources Minimization
Author :
Xing, Huanlai ; Qu, Rong
Author_Institution :
Automated Scheduling, Optimisation & Planning (ASAP) Group, Univ. of Nottingham, Nottingham, UK
fDate :
7/1/2011 12:00:00 AM
Abstract :
In network coding based multicast, coding operations need to be minimized as they consume computational resources and increase data processing complexity at corresponding nodes in the network. To address the problem, we develop a population based incremental learning algorithm which shows to outperform existing algorithms in terms of both the solution obtained and computational time consumed on networks with various features.
Keywords :
genetic algorithms; multicast communication; network coding; probability; coding operation; competitive learning; computational resource; data processing complexity; genetic algorithm; multicast; network coding; network node; population based incremental learning algorithm; probability; resource minimization; Encoding; Evolutionary computation; Genetic algorithms; Merging; Network coding; Optimization; Strontium; multicast; network coding; population based incremental learning;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2011.051911.110274
