Random geometric graphs are used to obtain a simple representation of wireless networks. Much recent research has analyzed the properties of these graphs. However, the theoretic achievements often are not translated in practical strategies. The goal of this paper is to establish a mathematical relation among the expected characteristics of a wireless network in term of links, deployment surface and number of nodes. The proposed methodology represents a fast solution for the selection of the quantity of nodes that must be deployed on a surface. It can be applied both with real networks and in the selection of the parameters for simulations. An experimental analysis based on simulations was conducted in order to demonstrate the correctness and the accuracy of the proposed approach.

Analysis of random geometric graph for wireless network configuration / Ferrero, Renato; Gandino, Filippo. - STAMPA. - (2018), pp. 1-6. (Intervento presentato al convegno 10th International Conference on Mobile Computing and Ubiquitous Networking tenutosi a Toyama, Japan nel October 3-5, 2017) [10.23919/ICMU.2017.8330075].

Analysis of random geometric graph for wireless network configuration

Renato Ferrero;Filippo Gandino
2018

Abstract

Random geometric graphs are used to obtain a simple representation of wireless networks. Much recent research has analyzed the properties of these graphs. However, the theoretic achievements often are not translated in practical strategies. The goal of this paper is to establish a mathematical relation among the expected characteristics of a wireless network in term of links, deployment surface and number of nodes. The proposed methodology represents a fast solution for the selection of the quantity of nodes that must be deployed on a surface. It can be applied both with real networks and in the selection of the parameters for simulations. An experimental analysis based on simulations was conducted in order to demonstrate the correctness and the accuracy of the proposed approach.
2018
978-4-907626-32-7
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2697986