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Capacity of Heterogeneous Mobile Wireless Networks with D-Delay Transmission Strategy.
Wu, Feng; Zhu, Jiang; Xi, Zhipeng; Gao, Kai.
Afiliação
  • Wu F; School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China. wufeng_paper@outlook.com.
  • Zhu J; School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China. jiangzhu@nudt.edu.cn.
  • Xi Z; School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China. xzp_paper@163.com.
  • Gao K; School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China. gaokai000@nudt.edu.cn.
Sensors (Basel) ; 16(4): 425, 2016 Mar 25.
Article em En | MEDLINE | ID: mdl-27023548
This paper investigates the capacity problem of heterogeneous wireless networks in mobility scenarios. A heterogeneous network model which consists of n normal nodes and m helping nodes is proposed. Moreover, we propose a D-delay transmission strategy to ensure that every packet can be delivered to its destination nodes with limited delay. Different from most existing network schemes, our network model has a novel two-tier architecture. The existence of helping nodes greatly improves the network capacity. Four types of mobile networks are studied in this paper: i.i.d. fast mobility model and slow mobility model in two-dimensional space, i.i.d. fast mobility model and slow mobility model in three-dimensional space. Using the virtual channel model, we present an intuitive analysis of the capacity of two-dimensional mobile networks and three-dimensional mobile networks, respectively. Given a delay constraint D, we derive the asymptotic expressions for the capacity of the four types of mobile networks. Furthermore, the impact of D and m to the capacity of the whole network is analyzed. Our findings provide great guidance for the future design of the next generation of networks.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article