학술논문

Percolation in directed random geometric graphs
Document Type
Conference
Source
2012 IEEE International Symposium on Information Theory Proceedings Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on. :601-605 Jul, 2012
Subject
Computing and Processing
Communication, Networking and Broadcast Technologies
Standards
Wireless networks
Lattices
Protocols
Spread spectrum communication
Computational modeling
Language
ISSN
2157-8095
2157-8117
Abstract
The connectivity graph of wireless networks, under many models as well as in practice, may contain unidirectional links. The simplifying assumption that such links are useless is often made, mainly because most wireless protocols use per-hop acknowledgments. However, two-way communication between a pair of nodes can be established as soon as there exists paths in both directions between them. Therefore, instead of discarding unidirectional links, one might be interested in studying the strongly connected components of the connectivity graph. In this paper, we look at the percolation phenomenon in some directed random geometric graphs that can be used to model wireless networks. We show that among the nodes that can be reached from the origin, a non-zero fraction can also reach the origin. In other words, the percolation threshold for strong connectivity is equal to the threshold for one-way connectivity.