基于改进遗传算法的认知无线传感网动态频谱分配方案

doi:10.11959/j.issn.1000-0801.2017217

Abstract

Abstract:

ISM (industrial scientific and medical) bands where wireless sensor network works faced with the shortage of spectrum resources problems.Aimed at this case,dynamic spectrum allocation in cognitive radio technology was applied in wireless sensor network.A dynamic frequency spectrum allocation scheme was proposed.The algorithm was a modified adaptive genetic algorithm which was based on graph coloring model.In addition,the objective functions of the algorithm were maximum bandwidth gains and minimum spectrum handoff,besides,in the crossover and mutation process,adaptive crossover probability and mutation probability was used instead of the fixed.Experimental results confirm that compared with the traditional genetic algorithm and color sensitive graph coloring algorithm,the proposed algorithm can achieve the expected goal of improving the spectral efficiency and reducing energy consumption.

Key words: cognitive radio sensor network, genetic algorithm, graph coloring, dynamic spectrum allocation

CLC Number:

TP393

Chang CAI,Yafang WANG,Bingmei MIAO,Hui JIANG. Dynamic spectrum allocation for cognitive radio sensor networks based on improved genetic algorithm[J]. Telecommunications Science, 2017, 33(8): 85-93.

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最大代数	种群规模	交叉概率	交叉概率	变异概率	变异概率
200	20	0.6	0.1	0.1	0.01

主用户数/个	信道数/个	次用户数/个
5	10	10

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Dynamic spectrum allocation for cognitive radio sensor networks based on improved genetic algorithm

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