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一种干扰最小化协作波束形成节点选择方法
引用本文:鞠 涛,黄高明,满 欣.一种干扰最小化协作波束形成节点选择方法[J].电讯技术,2020,60(6):695-700.
作者姓名:鞠 涛  黄高明  满 欣
作者单位:海军工程大学 电子工程学院,武汉 430033
摘    要:针对无线传感器网络(Wireless Sensor Network,WSN)对周围无关基站造成干扰的问题,提出了一种基于禁忌搜索的协作波束形成节点选择方法。该方法以协作节点的组合方式为优化变量,以降低无关基站方向的波束能量增益为优化目标,能够在约束节点个数的条件下优化协作节点集,减小WSN对无关基站的干扰。仿真结果表明,所提方法能够有效降低协作波束形成在无关基站方向上的能量增益,与随机搜索算法、遗传算法和免疫算法相比,参数设置简单,寻优效率更高。

关 键 词:无线传感器网络  协作波束形成  禁忌搜索算法  随机稀疏阵  节点选择

A Method of Minimizing Interference of Collaborative Beamforming via Node Selection
JU Tao,HUANG Gaoming,MAN Xin.A Method of Minimizing Interference of Collaborative Beamforming via Node Selection[J].Telecommunication Engineering,2020,60(6):695-700.
Authors:JU Tao  HUANG Gaoming  MAN Xin
Affiliation:College of Electronic Engineering,Naval University of Engineering,Wuhan 430033,China
Abstract:To reduce the interference of wireless sensor networks(WSNs) to unintended base stations,a method of determining sensor nodes in collaboration beamforming(CB) is proposed based on tabu search.In this method,the combination with a fixed number of sensor nodes is optimized in terms of minimizing the beam energy gain towards the unintended base stations.Simulation results demonstrate that the proposed method can effectively reduce the energy gain of CB in directions of the unintended base stations.Furthermore,compared with the random search algorithm,the genetic algorithm and the immune algorithm,the tabu search algorithm has simpler parameter setting and higher optimization efficiency.
Keywords:wireless sensor network  collaborative beamforming  tabu search algorithm  random sparse array  node selection
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