2003 · 17 citations · 13 references
ComputingComputer ScienceComputer NetworksTopologyWireless CommunicationsCommunication NetworksNetwork ConnectivityNetwork TopologyPercolation TheoryWireless NetworksWireless Sensor NetworksAnisotropic Radiation PatternsCommunication ChannelsCommunication RangeCoverageNetwork Connectivity PatternsRadiation PatternsWireless Communication ChannelsWireless Network Models
Models of wireless ad-hoc and sensor networks are often based on the geometric disc abstraction: transmission is assumed to be isotropic, and reliable communication channels are assumed to exist (apart from interference) between nodes closer than a given distance. In reality communication channels are unreliable and communication range is generally not rotationally symmetric. In this paper we examine how these issues affect network connectivity. We compare networks of geometric discs to other simple shapes and/or probabilistic connections, and we find that when transmission range and node density are normalized across experiments so as to preserve the expected number of connections (ENC) enjoyed by each node, discs are the “hardest ” shape to connect together. In other words, anisotropic radiation patterns and spotty coverage allow an unbounded connected component to appear at lower ENC levels than perfect circular coverage allows. This indicates that connectivity claims made in the literature using the geometric disc abstraction in general hold also for the more irregular shapes found in practice.
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Collective dynamics of ‘small-world’ networks
Duncan J. Watts, Steven H. Strogatz · Nature · 1998 · 43.2K citations
The capacity of wireless networks
Piyush Gupta, P. R. Kumar · IEEE Transactions on Information Theory · 2000 · 8.4K citations
E. N. Gilbert · Journal of the Society for Industrial and Applied Mathematics · 1961 · 665 citations