2006
DOI: 10.1007/11963271_12
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The Threshold Behaviour of the Fixed Radius Random Graph Model and Applications to the Key Management Problem of Sensor Networks

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Cited by 7 publications
(7 citation statements)
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“…For instance, if graph nodes model system components (e.g. sensors) that move about in Euclidean space and adjacency between pairs of them is decided according the their transmission range, the fixed radius model is a good choice for modeling the network (see, e.g., (Liagkou et al, 2006)). If, however, one is interested in patterns arising in the Internet graph, the preferential random graph model is best.…”
Section: A Generic Trust Model Based On Threshold Laws For Mathematicmentioning
confidence: 99%
See 1 more Smart Citation
“…For instance, if graph nodes model system components (e.g. sensors) that move about in Euclidean space and adjacency between pairs of them is decided according the their transmission range, the fixed radius model is a good choice for modeling the network (see, e.g., (Liagkou et al, 2006)). If, however, one is interested in patterns arising in the Internet graph, the preferential random graph model is best.…”
Section: A Generic Trust Model Based On Threshold Laws For Mathematicmentioning
confidence: 99%
“…In (Liagkou et al, 2006) we proved that fixed radius random graph model has a threshold behavior in order to introduce a key distribution scheme. Here we use the following Lemma and Theorems in order to demonstrate that a number of global system properties related to trust can be described in the first order language of graphs and that they hold with probability 1 for certain ranges of the fixed radius random graph model.…”
Section: Threshold Behavior Of the Fixed Radius Random Graph Modelmentioning
confidence: 99%
“…However, some security aspects that can be mathematically described using a special logic described in Section 3 can still be studied theoretically under the proposed model (see [3] on the key management issue for sensor networks).…”
Section: The Modelmentioning
confidence: 99%
“…The connection of the distribution function D 2 (x) for the distance between random points on the circle of radius R and the probability that the extension statement is given by the following lemma (see [3]):…”
Section: Random Points In D-dimensional Spheres and Emergent Propertiesmentioning
confidence: 99%
“…Ç ó÷åôéêÞ åñåõíçôéêÞ äïõëåéÜ áíáöÝñåôáé óôá áíôßóôïé÷á êåöÜëáéá ôïõ äåýôåñïõ ìÝñïõò ôùí ìïíôÝëùí êáé ôùí ðñùôïêüëëùí. ÔÝëïò ç ðáñïýóá äéäáêôïñéêÞ äéáôñéâÞ ðåñéëáìâÜíåé åñåõíçôéêÜ áðïôåëÝóìáôá, ôá ïðïßá äçìïóéåýôçêáí óôéò åñãáóßåò [55], [21], [22], [58], [57], [56] êáé [23].…”
Section: åéóáãùãþunclassified