在多跳中继的Wi Max Mesh网络中,当发送功率和信道带宽为定值时,用户接入链路的速率取决于用户到中继的距离,对于接入层中继位置的设计可以提高整个网络的吞吐量和进行无视距通信(Non Line Of Sight,NLOS)具有重要的意义。本文将该问题...在多跳中继的Wi Max Mesh网络中,当发送功率和信道带宽为定值时,用户接入链路的速率取决于用户到中继的距离,对于接入层中继位置的设计可以提高整个网络的吞吐量和进行无视距通信(Non Line Of Sight,NLOS)具有重要的意义。本文将该问题转化为空间最少簇的问题,算法首先根据用户位置的信息来划分出每个单个簇,然后在每个单个簇中生成符合的覆盖圆,寻找覆盖圆的圆心,得出中继的位置。模拟实验结果表明,与该问题已有算法MIS相比本文算法部署的中继的个数减少了51%,与算法HS相比减少了23%。通过使用较少的中继,本文算法较好地保证了网络的性能、提高了网络用户吞吐量。展开更多
In light of demands for wireless monitoring and the characteristics of wireless channel,a complete deployment method containing channel survey,path loss estimation,and gradient grade of wireless relay nodes is propose...In light of demands for wireless monitoring and the characteristics of wireless channel,a complete deployment method containing channel survey,path loss estimation,and gradient grade of wireless relay nodes is proposed.It can be proved by experiments that under the premise of meeting the requirements of real-time and redundant-topology,the total number of relay nodes could be minimized by using the proposed method.展开更多
文摘在多跳中继的Wi Max Mesh网络中,当发送功率和信道带宽为定值时,用户接入链路的速率取决于用户到中继的距离,对于接入层中继位置的设计可以提高整个网络的吞吐量和进行无视距通信(Non Line Of Sight,NLOS)具有重要的意义。本文将该问题转化为空间最少簇的问题,算法首先根据用户位置的信息来划分出每个单个簇,然后在每个单个簇中生成符合的覆盖圆,寻找覆盖圆的圆心,得出中继的位置。模拟实验结果表明,与该问题已有算法MIS相比本文算法部署的中继的个数减少了51%,与算法HS相比减少了23%。通过使用较少的中继,本文算法较好地保证了网络的性能、提高了网络用户吞吐量。
基金provided by the Natinal Basic Research Program of China(No.2012CB026000)
文摘In light of demands for wireless monitoring and the characteristics of wireless channel,a complete deployment method containing channel survey,path loss estimation,and gradient grade of wireless relay nodes is proposed.It can be proved by experiments that under the premise of meeting the requirements of real-time and redundant-topology,the total number of relay nodes could be minimized by using the proposed method.