DocumentCode :
2522068
Title :
Chaotic neural network with white noise for broadcast scheduling problems in packet radio networks
Author :
Xu, Yaoqun ; Li, Yulei
Author_Institution :
Inst. of Syst. Eng., Harbin Univ. of Commerce, Harbin, China
fYear :
2011
fDate :
23-25 May 2011
Firstpage :
3053
Lastpage :
3056
Abstract :
Transient chaotic neural network (TCNN) with chaotic simulated annealing (CSA), which can control the state searching in a fractal region, has a higher searching efficiency. However, the TCNN is not guaranteed to find the globally optimal solutions because CSA has completely deterministic dynamics. Contrary to CSA, stochastic simulated annealing (SSA) can search a globally optimal solution with probability one if the annealing speed is sufficiently slow. The white noise is one of the most common stochastic model and used widely in the engineering. In order to retain the excellent optimization property of SSA, the white noise is proposed into the TCNN. And the improved neural network is applied in the broadcast scheduling problems (BSP). The simulation results show that as long as we control the white noise in a proper range, we will be more likely to find an optimal or near-optimal time-division multiple-access (TDMA) frame structure with a minimal average delay time.
Keywords :
chaos; neural nets; packet radio networks; simulated annealing; stochastic processes; time division multiple access; white noise; TDMA frame structure; broadcast scheduling problems; chaotic simulated annealing; deterministic dynamics; globally optimal solutions; near-optimal time-division multiple-access; packet radio networks; probability; state searching; stochastic model; stochastic simulated annealing; transient chaotic neural network; white noise; Artificial neural networks; Delay; Neurons; Scheduling; Signal to noise ratio; Time division multiple access; White noise; Broadcast scheduling problems; Stochastic simulated annealing; TDMA; White Noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
Type :
conf
DOI :
10.1109/CCDC.2011.5968778
Filename :
5968778
Link To Document :
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