DocumentCode :
717125
Title :
A cooperative file downloading scheme with genetic algorithm
Author :
Xing Zhang ; Lanlan Rui
Author_Institution :
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2015
fDate :
11-15 May 2015
Firstpage :
922
Lastpage :
925
Abstract :
Existing cooperative file downloading schemes have some blindness on the selection of collaborative nodes. In this paper we present a cooperative file downloading scheme with genetic algorithm to resolve the collaborative nodes selection problem, especially in the case that we cannot have a prior knowledge about the data rate and position of the mobile nodes. A simple and efficient extended on-demand proxy discovery algorithm will be used to find the potential cooperative nodes. Character of the genetic algorithm (GA) makes it suitable for the selection of cooperative nodes. After this, client uses multiple parallel paths for file downloading. The simulation results show that the cooperative file downloading scheme with genetic algorithm can successfully select collaborative nodes with better performance and effectively reduce file download latency.
Keywords :
file organisation; genetic algorithms; groupware; mobile computing; peer-to-peer computing; cooperative file downloading scheme; data rate; genetic algorithm; mobile nodes; on-demand proxy discovery algorithm; Ad hoc networks; Bandwidth; Biological cells; Collaboration; Genetic algorithms; Mobile computing; Routing; Cooperative File Downloading; Genetic Algorithm; MANETs; Wireless Cooperation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Integrated Network Management (IM), 2015 IFIP/IEEE International Symposium on
Conference_Location :
Ottawa, ON
Type :
conf
DOI :
10.1109/INM.2015.7140410
Filename :
7140410
Link To Document :
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