电力无线通信系统中基于灰度关联层次分析的异构网络选择算法
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摘要
电力通信网络随着用户数量增长、业务愈发复杂,单一制式通信网络无法满足其全部需求,因而多种网络融合的异构网络是一种有效的解决方法。本文提出一种电力无线通信系统中基于灰度关联层次分析的网络选择算法,能有效解决网络决策属性不为单调函数的网络选择问题。该算法先采用层次分析法根据不同业务要求确定决策属性权重和熵权法根据实际网络参数计算决策属性权重,再将两类权重线性叠加,然后用灰度关联法选择与参考网络关联度最高的网络作为最佳网络,既考虑网络本身的属性信息,又体现用户在不同业务下的需求。通过选择不同的参考网络,可以实现不同Qo S等级需求。选择结果既能保证用户得到确保质量的服务,又能合理均衡分配网络资源,维持网络负载平衡。仿真结果表明本文的算法有效,分配结果合理。
With the increase of the number of users and the complexity of services,only single communication network cannot meet all its requests in power communication networks. Therefore,heterogeneous networks are an effective solution. This paper proposes a heterogeneous network selection algorithm based on gray relation hierarchy analysis in power wireless communication system,which can effectively solve the network selection problem when the network decision attribute is non-monotonic.The algorithm firstly estimate weights of network attributes using analytic hierarchy process according to different types of service and entropy method according to network situation,then combine the two kinds of weights,at last utilizes the gray relation method to select the network with the highest value of gray relational coefficient as the optimal network. It not only considers the attribute information of the network itself,but reflects the users' demands. Besides,by selecting different reference network,different ranks of Qo S can be meet. The section result can ensure that users' demands of quality of the service are satisfied,but also a reasonable balance of the allocation of network resources. The simulation results show that the proposed algorithm is effective and the network selection is reasonable.
With the increase of the number of users and the complexity of services,only single communication network cannot meet all its requests in power communication networks. Therefore,heterogeneous networks are an effective solution. This paper proposes a heterogeneous network selection algorithm based on gray relation hierarchy analysis in power wireless communication system,which can effectively solve the network selection problem when the network decision attribute is non-monotonic.The algorithm firstly estimate weights of network attributes using analytic hierarchy process according to different types of service and entropy method according to network situation,then combine the two kinds of weights,at last utilizes the gray relation method to select the network with the highest value of gray relational coefficient as the optimal network. It not only considers the attribute information of the network itself,but reflects the users' demands. Besides,by selecting different reference network,different ranks of Qo S can be meet. The section result can ensure that users' demands of quality of the service are satisfied,but also a reasonable balance of the allocation of network resources. The simulation results show that the proposed algorithm is effective and the network selection is reasonable.
引文
[1]于佳,刘金锁,蔡世龙.电力系统中的LTE无线网络规划研究[J].电力信息与通信技术,2016(10):7-11.
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[9]Preethi J,Palaniswami S.A new hybrid approachfor heterogeneous radio access technology selection[J].Journal of Computer Science,2012,8(5):767-774.
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[12]孙强,葛旭波,刘林,等.智能电网多属性网络层次组合评价法及其应用研究[J].电网技术,2012,36(10):49-54.
[13]卓灵,聂静,肖静薇,等.电力无线通信异构多网共存环境中的网络选择算法[J].计算机工程与科学,2016,38(1):78-83.
[14]顾海,徐名海,闫焕杰.异构融合网络中利用模糊层次分析法的网络选择算法[J].南京邮电大学学报:自然科学版,2012,32(6):50-57.
[15]赵华琼,唐学文.基于模糊层次分析法的网络业务性能评估模型[J].计算机应用,2013,33(11):3035-3038.
[16]陈守学.异构网络中的网络选择方案研究[D].北京:北京邮电大学,2010.
[2]骆凯波,谭元刚,邹波.电力通信专网中无线通信技术的运用分析及研究[J].电子测试,2016(24):93-94.
[3]徐珂航.无线通信技术在电力系统的应用[J].通讯世界,2013(21):122-123.
[4]Zhao Y Q,Zhou W F,Zhu Q.Q-learning basedheterogeneous network selection algorithm[M].Recent Advances in Computer Science and Informa-tion Engineering.Springer Berlin Heidelberg,2012.
[5]崔文明.电力无线专网关键技术研究[D].南京:东南大学,2016.
[6]陈伟东.电力系统中的智能配网设计探讨[J].工程技术:全文版,2016(49):208.
[7]Xu Y,Chen J,Ma L,et al.Q-learning based net-work selection for WCDMA/WLAN heterogeneouswireless networks[C]//IEEE Vehicular TechnologyConference.2015:1-5.
[8]Wang L,Kuo G S G S.Mathematical modeling fornetwork selection in heterogeneous wireless net-works—A tutorial[J].IEEE Communications Sur-veys&Tutorials,2013,15(1):271-292.
[9]Preethi J,Palaniswami S.A new hybrid approachfor heterogeneous radio access technology selection[J].Journal of Computer Science,2012,8(5):767-774.
[10]Sgora A,Vergados D D,Chatzimisios P.An accessnetwork selection algorithm for heterogeneous wire-less environments[C]//The IEEE Symposium onComputers and Communications.IEEE ComputerSociety,2010:890-892.
[11]Savitha K,Chandrasekar C.Grey Relation Analy-sis for Vertical Handover Decision Schemes in Het-erogeneous Wireless Networks[J].Global Journal ofComputer Science and Technolgy,2011(19):19-24.
[12]孙强,葛旭波,刘林,等.智能电网多属性网络层次组合评价法及其应用研究[J].电网技术,2012,36(10):49-54.
[13]卓灵,聂静,肖静薇,等.电力无线通信异构多网共存环境中的网络选择算法[J].计算机工程与科学,2016,38(1):78-83.
[14]顾海,徐名海,闫焕杰.异构融合网络中利用模糊层次分析法的网络选择算法[J].南京邮电大学学报:自然科学版,2012,32(6):50-57.
[15]赵华琼,唐学文.基于模糊层次分析法的网络业务性能评估模型[J].计算机应用,2013,33(11):3035-3038.
[16]陈守学.异构网络中的网络选择方案研究[D].北京:北京邮电大学,2010.