Title :
Resource Interactive Routing Optimization Based on Genetic Algorithm
Author_Institution :
Comput. Sci. Dept., Beijing Foreign Studies Univ., Beijing, China
Abstract :
In order to reduce the maintenance cost of resource index table of the mobile nodes in the MP2P network, use the edge resource of network enough, and parallel process the mobile task of network, we propose the resource interactive technology based on genetic algorithm to make sure that the mobile node could adapt the change of routing actively during the resource interaction. The simulation experiments show that this method could find out a new optimal routing with lesser cost, and makes it possible to obtain mobile resource efficiently and dynamically.
Keywords :
genetic algorithms; mobile communication; resource allocation; telecommunication network routing; genetic algorithm; maintenance cost; mobile nodes; optimal routing; resource index table; resource interactive routing optimization; Delay; Gallium; Indexes; Mobile communication; Mobile computing; Peer to peer computing; Routing;
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
DOI :
10.1109/WICOM.2010.5600168