混沌拟态物理优化的认知频谱差异分配

doi:10.11772/j.issn.1001-9081.2015.04.1067

计算机应用 ›› 2015, Vol. 35 ›› Issue (4): 1067-1070.DOI: 10.11772/j.issn.1001-9081.2015.04.1067

混沌拟态物理优化的认知频谱差异分配

贾遂民, 魏萌, 胡明生

郑州师范学院信息科学与技术学院, 郑州 450044

收稿日期:2014-11-04 修回日期:2014-12-12 出版日期:2015-04-10 发布日期:2015-04-08
通讯作者: 贾遂民
作者简介:贾遂民(1968-),男,河南新郑人,副教授,CCF会员,主要研究方向:智能计算、数据挖掘; 魏萌(1981-),女,河南新乡人,讲师,硕士,主要研究方向:无线网络资源优化; 胡明生(1973-),男,河南信阳人,教授,博士,主要研究方向:网络通信。
基金资助:
国家自然科学基金资助项目(U1204703/G011202);河南省重点科技攻关项目(122102310004)。

Spectrum difference allocation of cognitive radio network based on chaotic artificial physics optimization

JIA Suimin, WEI Meng, HU Mingsheng

School of Information Science and Technology, Zhengzhou Normal University, Zhengzhou Henan 450044, China

Received:2014-11-04 Revised:2014-12-12 Online:2015-04-10 Published:2015-04-08

摘要/Abstract

摘要：

针对认知无线电网络的频谱分配问题,提出了一种考虑频谱可用率的分配模型,并在约束处理时,将可用率更高的频谱分配给认知用户;基于频谱分配问题的NP(非确定性多项式)特性,进而提出了一种基于混沌拟态物理优化的智能算法。使用混沌的遍历性初始化种群,改进了微粒的作用力方程,避免算法陷入局部最优。仿真实验结果表明:该算法能获得更高的网络收益,提高了频谱使用效率。

关键词: 拟态物理优化, 认知无线电网络, 频谱分配, 网络收益, 频谱可用性

Abstract:

Focusing on the spectrum allocation problem in cognitive radio network, an allocation model considering spectrum availability was proposed. When handling the constraint, the higher availability spectrum was assigned to the cognitive users. A chaotic artificial physics optimization was proposed based on NP (Non-deterministic Polynomial) feature of spectrum allocation problem. The ergodicity of chaos was used to initiate population and the force equation between particles was improved to avoid the algorithm falling into local optimum. The simulation results show that the proposed algorithm can get better network revenue and improve the spectrum usage.

Key words: artificial physics optimization, cognitive radio network, spectrum allocation, network revenue, spectrum availability

中图分类号:

TP393.07

贾遂民, 魏萌, 胡明生. 混沌拟态物理优化的认知频谱差异分配[J]. 计算机应用, 2015, 35(4): 1067-1070.

JIA Suimin, WEI Meng, HU Mingsheng. Spectrum difference allocation of cognitive radio network based on chaotic artificial physics optimization[J]. Journal of Computer Applications, 2015, 35(4): 1067-1070.

参考文献

[1] AKYILDLZ L F, LEE W Y, VURAN W Y, et al. Next generation/dynamic spectrum access/cognitive radio wireless networks: a survey [J].Computer Networks, 2006,9(2): 2127-2159.
[2] CHAI Z, LIU F, ZHU S. Chaos quantum clonal algorithm for spectrum allocation of cognitive wireless network[J]. Acta Physica Sinica, 2011,60(6): 068803.(柴争义,刘芳,朱思峰. 混沌量子克隆算法求解认知无线网络频谱分配问题[J].物理学报,2011,60(6): 068803.)
[3] WANG Q, YE B, TIAN Y, et al. Survey on spectrum allocation algorithms for cognitive radio networks[J]. Acta Electronica Sinica, 2012,40(1):147-154.(王钦辉,叶保留,田宇,等.认知无线电网络中频谱分配算法[J].电子学报,2012,40(1):147-154.)
[4] TRAGOS E Z, ZEADALLY S, ALEXANDROS A G, et al. Spectrum assignment in cognitive radio networks: a comprehensive survey[J]. IEEE Communications and Surveys and Tutorials, 2013,15(3):1108-1135.
[5] PENG C, ZHENG H, ZHAO B. Utilization and fairness in spectrum assignment for opportunistic spectrum access[J]. Mobile Networks and Applications, 2009, 11(4): 555-576.
[6] ZHAO Z, PENG Z, ZHENG S, et al. Cognitive radio spectrum allocation using evolutionary algorithms[J]. IEEE Transactions on Wireless Communications, 2009, 8(9): 4421-4425.
[7] GAO H, CAO J.Quantum-inspired bee colony optimization algorithm and its application for cognitive radio spectrum allocation[J]. Journal of Central South University: Science and Technology,2012,34(12):1126-1132.(高洪元,曹金龙.量子蜂群算法及其在认知频谱分配中的应用[J].中南大学学报:自然科学版,2012,34(12):1126-1132.)
[8] XIE L, ZENG J. Physicomimetics method for global optimization[J]. Journal of Computer Research and Development,2011,48(5):848-854.(谢丽萍,曾建潮.基于拟态物理学方法的全局优化算法[J].计算机研究与发展,2011,48(5):848-854.)
[9] LI H, ZHANG X, LI L. A hybrid deployment algorithm based on clonal selection and artificial physics optimization for wireless sensor network[J]. Information Technology Journal, 2013, 12(3): 917-925.
[10] ZHAN X, XIANG T, CHEN H, et al. Vulnerability assessment and reconfiguration of microgrid based on search vector artificial physics optimization algorithm[J]. Transactions of China Electrotechnical Society, 2014,45(11):21-26.(詹昕,向铁元,陈红坤,等.基于搜索矢量拟态物理学算法的微电网脆弱性评估及重构[J].电工技术学报,2014,45(11):21-26.)
[11] WANG Y, ZENG J. Multi-objective optimization algorithm based on artificial physics optimization[J]. Control and Decision,2010,25(7):1040-1044.(王艳,曾建潮. 一种基于拟态物理学优化的多目标优化算法[J].控制与决策,2010,25(7):1040-1044.)
[12] CHEN J, WU J, LI H. Spectrum allocation algorithm based on user allocation and load[J].Journal of Software,2013,24(7):1638-1649.(陈剑,吴建平,李贺武.基于用户分配和负载的频谱分配算法[J].软件学报,2013,24(7):1638-1649.)
[13] CHAI Z, WANG B, LI Y. Spectrum allocation of cognitive radio network based on artificial physics optimization[J]. Acta Physica Sinica, 2014, 63(22): 228802.(柴争义,王秉,李亚伦. 拟态物理学优化的认知无线电网络频谱分配[J]. 物理学报, 2014, 63(22): 228802.)
[14] CHAI Z, LIU F. Spectrum allocation of cognitive wireless network based on immune clone selection optimization[J]. Journal on Communications,2010,31(11):92-100.(柴争义,刘芳.基于免疫克隆选择优化的认知无线网络频谱分配[J].通信学报,2010,31(11):92-100.)
[15] LIU S, CHEN Z, KUANG Z. Spectrum allocation algorithm in cognitive radio based on immune-clonal-selection and difference [J]. Computer Engineering and Science,2014,36(9):1466-1471.(刘升,陈志刚,邝祝芳.认知无线电中结合差异性的免疫克隆优化频谱分配算法[J].计算机工程与科学,2014,36(9):1466-1471.)

混沌拟态物理优化的认知频谱差异分配

Spectrum difference allocation of cognitive radio network based on chaotic artificial physics optimization

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