Software Complex for Modelling Routing in Heterogeneous Model of Wireless Sensor Network

Modern communication technologies form the foundation for interactions between various objects on the Internet of Things. An autonomous mobile complex is equipped with sensors to assess the environment and make management decisions based on the information obtained. To ensure efficient data transmis...

Full description

Saved in:
Bibliographic Details
Published in:2024 Systems of Signals Generating and Processing in the Field of on Board Communications pp. 1 - 5
Main Authors: Mohammad, N. F., Voronova, L. I., Voronov, V. I., Rozhkov, S. A.
Format: Conference Proceeding
Language:English
Published: IEEE 12-03-2024
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Modern communication technologies form the foundation for interactions between various objects on the Internet of Things. An autonomous mobile complex is equipped with sensors to assess the environment and make management decisions based on the information obtained. To ensure efficient data transmission from the autonomous mobile device to the base station, modern methods of data processing and transmission should be used. Intelligent methods can be employed to accelerate data transmission when routing data. This paper presents a software complex designed to simulate a heterogeneous model for a wireless sensor network (HWSN), which includes a flying sensor network with mobile unmanned aerial vehicles (UAVs) and a terrestrial network with stationary sensor nodes. The software complex supports various types of heterogeneous nodes and can simulate different routing and clustering algorithms for routing data in wireless sensor network (WSN). The software complex can perform various types of analysis, including routing efficiency, routing quality of service, and finding optimal clusters. The paper describes a series of experiments and simulations conducted using the software complex and compares the results using different metrics and criteria. This contribution to the field of HWSN provides a new and efficient software complex for modelling routing data.
ISSN:2768-0118
DOI:10.1109/IEEECONF60226.2024.10496736