Performance analysis of wireless ad-hoc network based on bidirectional full-duplex and saturated state
Performance analysis of wireless ad-hoc network based on bidirectional full-duplex and saturated state
复制标题
基于双向全双工和饱和状态的无线自组织网络性能分析
DOI：
10.1049/iet-com.2017.0448
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发表时间：
2018-03
影响因子：
1.6
通讯作者：
Zhou Yongqiang
中科院分区：
文献类型：
--
作者：
Li Suoping;Sun Hongchun;Dou Zufang;Zhou Yongqiang
无线ad-hoc网络的传输容量是保证网络服务质量的关键性能之一。本研究的主要目的是探讨网络的移动性，建立一个节点移动的模型的饱和状态和确定的TC和延迟的网络的双向全双工（BFD）系统。综合考虑中断概率、分组到达率和分组尝试传输失败概率，基于节点移动性和网络自组织性建立了节点移动模型。在分析中，通过定义节点的移动的规则和范围，确定节点的移动的状态、静态状态、通信状态和中断状态，然后通过计算状态转移矩阵，得到各状态的稳态概率。在对现有饱和马尔可夫模型进行优化的基础上，根据移动的节点、竞争窗口大小、最大重传次数、退避时间和信干比等参数确定网络时延和TC。理论分析和数值仿真表明，双向利用空间资源可以显著提高双向ad-hoc网络的TC，而BFD系统的引入确实是为了减少网络时延。
The transmission capacity (TC) of the wireless ad-hoc network is one of the key properties to ensure the quality of network service. The main goal of this study is to explore the mobility of the network to establish a node mobile model with a saturated state and determine the TC and delay for the network based on the bidirectional full-duplex (BFD) system. Considering the outage probability, packet arrival rate, and failure probability of packet attempting transmission, the node mobility models are established based on the node mobility and network self-organization. In analysis, this study determines the mobile state, static state, communication state, and outage stat by defining the mobile rule and range of nodes, then the steady-state probability of each state is obtained by calculating the state transition matrix. After optimising the existing saturated Markov model, the authors determine the network delay and TC based on the mobile nodes, contention window size, maximum number of given packet attempting retransmission, back-off time and signal-interference ratio (SIR) etc. The theoretical analysis and numerical simulation show that the TC of the bidirectional ad-hoc network can be significantly improved by using space resources in two directions, and the introduction of the BFD system is indeed to reduce the network delay.
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影响因子：
3
作者：
E. Ghadimi;A. Khonsari;Abolfazl Diyanat;M. Farmani;N. Yazdani
通讯作者：
E. Ghadimi;A. Khonsari;Abolfazl Diyanat;M. Farmani;N. Yazdani
DOI：
10.1109/lcomm.2011.092911.110830
发表时间：
2011-10
期刊：
IEEE Communications Letters
影响因子：
--
作者：
Weng-Chon Ao;Kwang-Cheng Chen
通讯作者：
Weng-Chon Ao;Kwang-Cheng Chen
影响因子：
2.5
作者：
Chun-Hung Liu;J. Andrews
通讯作者：
Chun-Hung Liu;J. Andrews
影响因子：
2.5
作者：
R. Vaze;R. Heath
通讯作者：
R. Vaze;R. Heath
影响因子：
10.4
作者：
Guoqiang Mao;Zihuai Lin;Xiaohu Ge;Yang Yang-Yang
通讯作者：
Guoqiang Mao;Zihuai Lin;Xiaohu Ge;Yang Yang-Yang