Research on Connectivity of Multi-Type Heterogeneous Wireless Networks

Jingyuan Guo; Tao Yang; Hui Feng; Bo Hu

doi:10.3969/j.issn.1000-0801.2014.03.012

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Research on Connectivity of Multi-Type Heterogeneous Wireless Networks

research and development | 更新时间：2024-06-05

- Research on Connectivity of Multi-Type Heterogeneous Wireless Networks
- Telecommunications Science Vol. 30, Issue 3, Pages: 60-66(2014)
- 作者机构：
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- DOI：10.3969/j.issn.1000-0801.2014.03.012
  CLC：
- Published Online：2014-03，
  
  Published：20 March 2014
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Jingyuan Guo, Tao Yang, Hui Feng, et al. Research on Connectivity of Multi-Type Heterogeneous Wireless Networks[J]. Telecommunications science, 2014, 30(3): 60-66.
DOI：

Jingyuan Guo, Tao Yang, Hui Feng, et al. Research on Connectivity of Multi-Type Heterogeneous Wireless Networks[J]. Telecommunications science, 2014, 30(3): 60-66. DOI： 10.3969/j.issn.1000-0801.2014.03.012.

摘要

从渗流角度研究大规模单类型用户和多类型用户的自组织异构网络的连通性问题。首先，从布尔模型的角度出发，对于单类型用户，以圆盘模型分析簇分布时满足渗流的条件；对于多类型用户节点，根据泊松分布的认知无线电模型，从理论上给出具有多类型次用户节点的网络连通性的必要条件。其中，多类型次用户节点之间通信链路的存在与否不仅取决于它们之间的距离，也跟周围邻居用户节点的类型和收发行为有关。然后，从随机连接角度，引入乘积规则决定先连接哪两个用户，从而推迟或加速渗流发生。仿真有效地验证了渗流理论的实用性，可作为对认知无线电网络部署的指导。

Abstract

For the large scale Ad Hoc network with single-type or multi-type users

the percolation-based connectivity problem was addressed. Firstly

from the Boolean model point of view

single-type and multi-type user network connectivity was analyzed. For the single-type users

the sufficient condition under which percolation was achieved in clustered networks was formulated under the disk model. For multi-type user network

under the Poisson distributed cognitive radio model

the necessary condition for network connectivity was analyzed. The existence of a communication link between two secondary users depends on not only the distance between them

the transmitting and receiving activities of nearby primary users

but also the neighboring user's type. Then from random connection model point of view

the product rule was introduced to decide which two users could be connected

thus delaying or accelerating the occurrence of percolation. Various simulations show that the percolation is effective both in theory and practice in guidance of the deployment of cognitive radio network.

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Keywords

references

Meester R , Roy R . Continuum percolation . Cambridge University , 1996

Cheng Y C , Robertazzi T G . Critical connectivity phenomena in multi-hop radio models . IEEE Transactions on Communications , 1989 , 37 ( 7 )

Dousse O , Baccelli F , Thiran P . Impact of interferences on connectivity of Ad Hoc networks . ACM/IEEE Transactions on Networking , 2009 13 ( 2 ): 425 ～ 436

Dousse O , Franceschetti M , Macris N , et al . Percolation in the signal to interference ratio graph . Journals on Appl Prob , 2006 ( 43 ): 552 ～ 562

Kong Z , Yeh E , et al . Connectivity, percolation, and information dissemination in large-scale wireless networks with dynamic links . IEEE Transactions on Information Theory , 2009 ( 1 )

Vaze R . Percolation and connectivity on the signal to interference ratio graph . Proceedings of the IEEE Conference on Computer Communications（INFOCOM 2012） , Orlando, Florida, USA , March 2012

Ren W , Zhao Q , Swami A . Connectivity of heterogeneous wireless networks . IEEE Transactions on Information Theory , 2011 57 ( 7 ): 4315 ～ 4332

Ao W C , Chen K C , Swami A . Cognitive radio-enabled network-based cooperation: from a connectivity perspective . IEEE Journal on Selected Areas in Communications , 2012 30 ( 10 ): 1969 ～ 1982

Lu D , Huang X , Li P , et al . Connectivity of large-scale cognitive radio Ad Hoc networks . IEEE INFOCOM , 2012 ( 1 )

Wang P , Akyildiz I F , Al-Dhelaan A M . Percolation theory based connectivity and latency analysis of cognitive radio Ad Hoc networks . Wireless Networks , 2011 ( 17 ): 659 ～ 669

Li D , Gross J . Robust clustering of Ad Hoc cognitive radio networks under opportunistic spectrum access . Proceedings of IEEE International Conference on Communication , Kyoto, Japan , Jun 2011

Liu S S , Lazos L , Krunz M . Cluster-based control channel allocation in opportunistic cognitive radio networks . IEEE Transactions on Mobile Computing , 2012 , 11 ( 10 ): 1436 ～ 1449

Srinivasa S , Hartin M . Distance distributions in finite uniformly random networks： theory and applications . IEEE Transactions on Vehicular Technology , 2010 , 59 ( 2 ): 940 ～ 948

Erdos P , Renyi A . On the evolution of random graphs . Publ Math Inst Hungary Acad Sci , 1960 ,( 5 ): 17 ～ 61

Achlioptas D , Souza R M D , Spencer J . Explosive percolation in random networks . Science , 2009 ,( 323 )

Serra M C . A Multi-Type Branching Processes Approach to the Evolutionary Dynamics of Escape . 2007

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