Network Parameter Influence on Communications in Dense Wireless Nanonetworks

This paper evaluates how various network parameters impact communication quality in a dense electromagnetic nanonetwork. The parameters studied are the symbol rate β (equal to the ratio of time between two consecutive pulses sent and the pulse length), communication range, node density, and pulse duration. The quality is measured by packet collisions, receptions, emissions, and deliveries to destination. The evaluation considers homogeneous and heterogeneous networks, and single and multiple packets per flow. Simulation results show how these parameters influence network communication quality; for example, increasing β reduces collisions and increases receptions, deliveries, and emission rates up to an optimal threshold, beyond which further increases in β have no significant effect. These insights provide guidelines for selecting appropriate network parameters.

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Published
2024-10-20
DOI
https://doi.org/10.1145/3686015.3689360
Primary Topic
Molecular Communication and Nanonetworks
Type
article
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article

Network Parameter Influence on Communications in Dense Wireless Nanonetworks

Carole Al Mawla, Eugen Dedu
Molecular Communication and Nanonetworks
article

Network Parameter Influence on Communications in Dense Wireless Nanonetworks

Carole Al Mawla, Eugen Dedu
article en

Abstract

This paper evaluates how various network parameters impact communication quality in a dense electromagnetic nanonetwork. The parameters studied are the symbol rate β (equal to the ratio of time between two consecutive pulses sent and the pulse length), communication range, node density, and pulse duration. The quality is measured by packet collisions, receptions, emissions, and deliveries to destination. The evaluation considers homogeneous and heterogeneous networks, and single and multiple packets per flow. Simulation results show how these parameters influence network communication quality; for example, increasing β reduces collisions and increases receptions, deliveries, and emission rates up to an optimal threshold, beyond which further increases in β have no significant effect. These insights provide guidelines for selecting appropriate network parameters.

Centre National de la Recherche Scientifique (FR), Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies (FR), L'Hôpital Nord Franche-Comté (FR)
Openalex Percentile: Top 86%
Molecular Communication and Nanonetworks
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