Source positioning in a large-scale tiny-sensor network of arbitrary topology

Source positioning in a large-scale tiny-sensor network of arbitrary topology

Penkin, D.
Janssen, G.J.M.
Yarovoy, A.

Electrical Engineering, Mathematics and Computer Science

Microelectronics

2014-04-28

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.

random network
lattice model
percolation theory
multihop channel
hop count
source-to-sink path
localization algorithm
OA-Fund TU Delft

http://resolver.tudelft.nl/uuid:84f50724-7017-46db-882a-5e10426f195d

https://doi.org/10.1186/1687-6180-2014-57

Springer

1687-6172

http://asp.eurasipjournals.com/content/2014/1/57

EURASIP Journal on Advances in Signal Processing, 2014

Institutional Repository

journal article

© 2014 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution License( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.