DocumentCode
3069786
Title
Analytical Bounds on the Critical Density for Percolation in 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
fYear
2011
fDate
5-9 Dec. 2011
Firstpage
1
Lastpage
6
Abstract
In this paper we develop analytical bounds on the critical density for percolation in wireless multi- hop networks, but in contrast to other studies, under a random connection model and with nodes Poissonly distributed in the plane R2. The establishment of a direct connection between any two nodes follows a random connection model satisfying some intuitively reasonable conditions, i.e. rotational and translational invariance, non- increasing monotonicity and integral boundedness. It is well known that under the above network model and connection model there exists a critical density below which almost surely a fixed but arbitrary node is connected (via single or multi-hop path) to finite number of other nodes only, and above which the node is connected to an infinite number of other nodes with a positive probability. In this paper we investigate the bounds on the critical density. The result is compared with the existing results under a specific connection model, i.e. the unit disk communication model, and it is shown that our method generates bounds close to the known ones. The result provides valuable insight into the design of large- scale wireless multi-hop networks.
Keywords
Poisson distribution; radio networks; Poisson distribution; analytical bound; critical density; large scale wireless multihop network; network model; random connection model; rotational invariance; translational invariance; unit disk communication model; wireless multihop network percolation; Analytical models; Euclidean distance; IEEE Communications Society; Peer to peer computing; Spread spectrum communication; Upper bound; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
Conference_Location
Houston, TX, USA
ISSN
1930-529X
Print_ISBN
978-1-4244-9266-4
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2011.6133604
Filename
6133604
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