Abstract | ||
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To effectively localise a source node in a dense wireless tiny-sensor network with an arbitrary 2D/3D node distribution, a novel approach suitable to describe the hop progress of source-to-sink path in such a system is proposed. In this approach, the network topology is described as a regular lattice and relates the statistical parameters of the hop count in the source-to-sink propagation path to the fractal properties of a percolating cluster. Based on this approach, a mathematical model is developed to estimate the probability P(r,t) of successful reception of the message by a sink node spaced at distance r from a source in a given time t. The accuracy analysis of the positioning method demonstrates its high performance for the very broad spectrum of values of the occupation probability pocc. |
Year | DOI | Venue |
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2014 | 10.1186/1687-6180-2014-57 | EURASIP J. Adv. Sig. Proc. |
Keywords | Field | DocType |
percolation theory,lattice model,hop count,random network | Statistical parameter,Topology,Random graph,Wireless,Lattice (order),Computer science,Fractal,Network topology,Hop (networking),Wireless sensor network | Journal |
Volume | Issue | ISSN |
2014 | 1 | 1687-6180 |
Citations | PageRank | References |
2 | 0.35 | 18 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dmitriy Penkin | 1 | 2 | 0.35 |
Gerard J. M. Janssen | 2 | 73 | 19.73 |
Alexander G. Yarovoy | 3 | 18 | 8.11 |