"uuid","repository link","title","author","contributor","publication year","abstract","subject topic","language","publication type","publisher","isbn","issn","patent","patent status","bibliographic note","access restriction","embargo date","faculty","department","research group","programme","project","coordinates"
"uuid:84f50724-7017-46db-882a-5e10426f195d","http://resolver.tudelft.nl/uuid:84f50724-7017-46db-882a-5e10426f195d","Source positioning in a large-scale tiny-sensor network of arbitrary topology","Penkin, D.; Janssen, G.J.M.; Yarovoy, A.","","2014","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","en","journal article","Springer","","","","","","","","Electrical Engineering, Mathematics and Computer Science","Microelectronics","","","",""