DocumentCode :
1529900
Title :
On the Properties of One-Dimensional Infrastructure-Based Wireless Multi-Hop Networks
Author :
Ng, Seh Chun ; Mao, Guoqiang ; Anderson, Brian D O
Author_Institution :
Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia
Volume :
11
Issue :
7
fYear :
2012
fDate :
7/1/2012 12:00:00 AM
Firstpage :
2606
Lastpage :
2615
Abstract :
Many wireless multi-hop networks are deployed with some infrastructure support. Existing results on ad-hoc networks are inadequate to fully understand the properties of those networks. In this paper, we study the properties of 1-D infrastructure-based multi-hop networks. Specifically, we consider networks with two types of nodes, i.e. ordinary nodes and powerful nodes. Ordinary nodes are i.i.d. and Poissonly distributed in a unit interval. Powerful nodes are arbitrarily distributed within the same unit interval. These powerful nodes are inter-connected via some backbone infrastructure. The network is said to be connected if each ordinary node is connected (possibly through a multi-hop path) to at least one of the powerful nodes. We obtain analytical results for the connectivity probability and the average number of clusters in the network. We also prove for the first time that the optimum powerful node distribution that minimizes the average number of clusters, and maximizes the asymptotic connectivity probability, is to deploy these powerful nodes in an equi-distant fashion. These results are important for the design and deployment of 1-D infrastructure-based networks.
Keywords :
graph theory; probability; radio networks; 1D infrastructure-based wireless multihop network; asymptotic connectivity probability; multihop path; network cluster; network deployment; network design; ordinary node; powerful node distribution; random geometric graph; unit interval; Ad hoc networks; Approximation methods; Australia; Base stations; Spread spectrum communication; Wireless communication; Wireless sensor networks; 1-D networks; Wireless networks; clusters; connectivity; random geometric graph;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2012.052412.111561
Filename :
6210327
Link To Document :
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