<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The rapid development of artificial intelligence and modern communication technology provides a powerful opportunity to realize the transformation, upgrading and high-quality development of exhibition management. To solve the optimal coverage problem of wireless network in the exhibition area, a new generation of artificial intelligence algorithm is introduced to propose a novel method for solving the network coverage problem based on Harris Hawk optimization (HHO) algorithm. From the perspective of maximizing coverage and minimizing coverage redundancy, the multi-objective coverage optimization problem of wireless network nodes is optimally extracted into a function and solved using the improved HHO (IHHO) algorithm. Through the simulation of the wireless network coverage in the exhibition area, the experimental results show that the comprehensive evaluation index score of the optimization algorithm reaches 98.03%, which is higher than the traditional particle swarm optimizer (PSO) and the standard HHO. The proposed IHHO algorithm can be effectively applied to the network coverage problem and has a greater advantage over the traditional optimization methods in terms of improving node coverage, and has great practicality.</p>
</abstract>

The rapid development of artificial intelligence and modern communication technology provides a powerful opportunity to realize the transformation, upgrading and high-quality development of exhibition management. To solve the optimal coverage problem of wireless network in the exhibition area, a new generation of artificial intelligence algorithm is introduced to propose a novel method for solving the network coverage problem based on Harris Hawk optimization (HHO) algorithm. From the perspective of maximizing coverage and minimizing coverage redundancy, the multi-objective coverage optimization problem of wireless network nodes is optimally extracted into a function and solved using the improved HHO (IHHO) algorithm. Through the simulation of the wireless network coverage in the exhibition area, the experimental results show that the comprehensive evaluation index score of the optimization algorithm reaches 98.03%, which is higher than the traditional particle swarm optimizer (PSO) and the standard HHO. The proposed IHHO algorithm can be effectively applied to the network coverage problem and has a greater advantage over the traditional optimization methods in terms of improving node coverage, and has great practicality.

Títul Research on Wireless Network Coverage for Transformation and Upgrading of Exhibition Management with Artificial Intelligence Technology

Xianda College of Economics & Humanities Shanghai International Studies University

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The rapid development of artificial intelligence and modern communication technology provides a powerful opportunity to realize the transformation, upgrading...

Títul Research on Wireless Network Coverage for Transformation and Upgrading of Exhibition Management with Artificial Intelligence Technology

Data publikacji: 02 cze 2023

Zakres stron: -

Otrzymano: 29 maj 2022

Przyjęty: 19 paź 2022

DOI: https://doi.org/10.2478/amns.2023.1.00180

Słowa kluczowe
Keyword Artificial intelligence, exhibition management, wireless network, coverage optimization, Harris Hawk optimization algorithm

© 2023 Peilin Dou et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Títul Research on Wireless Network Coverage for Transformation and Upgrading of Exhibition Management with Artificial Intelligence Technology

Data publikacji: 02 cze 2023

Zakres stron: -

Otrzymano: 29 maj 2022

Przyjęty: 19 paź 2022

DOI: https://doi.org/10.2478/amns.2023.1.00180

Słowa kluczoweKeyword Artificial intelligence, exhibition management, wireless network, coverage optimization, Harris Hawk optimization algorithm

© 2023 Peilin Dou et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Keyword Artificial intelligence, exhibition management, wireless network, coverage optimization, Harris Hawk optimization algorithm