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Q-learning for dynamic channel assignment in cognitive wireless local area network with fibre-connected distributed antennas

ISSN号：1005-8885
期刊名称：《中国邮电高校学报：英文版》
时间：0
分类：TP212[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置] TP393.11[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
作者机构：[1]School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
相关基金：This work was supported by the BUPT Research and Creation Project for Young Scholars （2011RC0110）, the Laboratory Chief Fund for Ministry Key Library of Ubiquitous Network Wireless Communication （ZILIJ-2010-3）, and the National Science Fund Project for Young Scholars （61001115）.

作者： LI Yi JI Hong[1]

关键词：无线传感器网络, 传输方案, 能量平衡, 系统, 协同, 正交空时分组码, 能源效率, 多输入多输出, energy efficiency, dynamic clustering, cooperative MIMO, data aggregation, wireless sensor networks

中文摘要：

精力效率是在无线传感器网络(WSN ) 的一个关键问题。为了在整个全部最小化精力消费和平衡精力驱散，联网，在 WSN 的一个系统的平衡精力的合作传播计划在这份报纸被建议。这个计划在系统的看法学习精力效率。为三主要的步，也就是聚类的节点，数据聚集和合作传播，相应措施被提出节省精力。这些措施很好被设计并且紧联合了完成最佳的性能。一个控制一半的动态聚类方法被建议避免随机选择簇头引起的簇头的集中的分发并且得到在簇节点之间的高空间的关联。基于造的簇，随动态数据压缩的采纳，数据聚集被簇头执行得到数据的更好的使用关联。有平衡精力的合作的簇的多重输出(CMIMO ) 领导的合作多重输入选择方法被建议播送数据下沉节点。这个计划的系统模型也在这份报纸被给。并且模拟结果证明与另外的传统的计划相比，建议计划能高效地在整个网络均匀地散布精力驱散并且完成更高的精力效率，它导致更长的网络一生跨度。由采用直角的空间时间块代码(STBC ) ，与簇头的百分比变化的合作传播节点的最佳的数字也被结束，它能帮助由选择合作节点的最佳的数字并且做 CMIMO 的大多数使用改进精力效率。

英文摘要：

Energy efficiency is a critical issue in wireless sensor networks （WSNs）. In order to minimize energy consumption and balance energy dissipation throughout the whole network, a systematic energy-balanced cooperative transmission scheme in WSNs is proposed in this paper. This scheme studies energy efficiency in systematic view. For three main steps, namely nodes clustering, data aggregation and cooperative transmission, corresponding measures are put forward to save energy. These measures are well designed and tightly coupled to achieve optimal performance. A half-controlled dynamic clustering method is proposed to avoid concentrated distribution of cluster heads caused by selecting cluster heads randomly and to get high spatial correlation between cluster nodes. Based on clusters built, data aggregation, with the adoption of dynamic data compression, is performed by cluster heads to get better use of data correlation. Cooperative multiple input multiple output （CMIMO） with an energy-balanced cooperative cluster heads selection method is proposed to transmit data to sink node. System model of this scheme is also given in this paper. And simulation results show that, compared with other traditional schemes, the proposed scheme can efficiently distribute the energy dissipation evenly throughout the network and achieve higher energy efficiency, which leads to longer network lifetime span. By adopting orthogonal space time block code （STBC）, the optimal number of the cooperative transmission nodes varying with the percentage of cluster heads is also concluded, which can help to improve energy efficiency by choosing the optimal number of cooperative nodes and making the most use of CMIMO.