Title :
A network selection scheme based on bee colony evolution
Author :
Chengbo Zhang ; Xingwei Wang ; Min Huang
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
In the heterogeneous network environments of multiple networks overlapping, users wish to select the best network suiting his or her needs as a matter of course. There are three basis conditions, software defined radio (SDR), multimode intelligent terminals and network selection schemes to realize this always best connected (ABC) concept. Based on analyzing many factors of network selections, it is proposed that a network selection scheme based on bee colony evolution. It can find the optimal network selection solution, and use the grey relational analysis method, game analysis and genetic algorithm to solve the additional problems ensuring the rationality and efficiency of network selection. Simulation results show that this network selection scheme has better performances than the existing schemes in many evaluating indicators.
Keywords :
game theory; genetic algorithms; grey systems; software radio; ABC concept; SDR; always best connected concept; bee colony evolution; game analysis; genetic algorithm; grey relational analysis method; heterogeneous network environments; multimode intelligent terminals; network selection schemes; networks overlapping; optimal network selection solution; software defined radio; Bandwidth; Encoding; Equations; Games; Genetic algorithms; Mathematical model; Quality of service; always best connected (ABC); game analysis; genetic algorithm; grey relational analysis method; heterogeneous network environments; network selection schemes;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
Conference_Location :
Dalian
DOI :
10.1109/ICCSNT.2013.6967196