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

<p>In response to the advancements in Internet of Things (IoT) technology and the growing demands for data transmission, there is a crucial need for further integration of communication network technology with IoT to enhance efficiency. This paper presents the design of a multi-node communication network model utilizing the Orthogonal Frequency-Division Multiplexing (OFDM) algorithm. In the realm of physical layer parameter design, uplink, and downlink carriers are allocated based on OFDM symbols, employing the Zadoff-Chu (ZC) sequence as the pilot frequency sequence. Additionally, the Cyclic Redundancy Check (CRC) error-checking code is implemented to ensure the accuracy of network transmissions. The model proposed in this study is applied to the operational dynamics of traffic systems within a smart city, focusing on the security and operational efficiency of the traffic communication network. Empirical testing and analysis demonstrate that the communication network, as designed, is susceptible to malware attacks by 25.68%, representing the least vulnerability among the three algorithms assessed. Moreover, in examining the bus trip time distribution with the implementation of this model, the average running time is predominantly around 11.76 minutes, which is a reduction of 0.74 minutes compared to previous configurations, thereby indicating an improvement in operational efficiency.</p>
</abstract>

In response to the advancements in Internet of Things (IoT) technology and the growing demands for data transmission, there is a crucial need for further integration of communication network technology with IoT to enhance efficiency. This paper presents the design of a multi-node communication network model utilizing the Orthogonal Frequency-Division Multiplexing (OFDM) algorithm. In the realm of physical layer parameter design, uplink, and downlink carriers are allocated based on OFDM symbols, employing the Zadoff-Chu (ZC) sequence as the pilot frequency sequence. Additionally, the Cyclic Redundancy Check (CRC) error-checking code is implemented to ensure the accuracy of network transmissions. The model proposed in this study is applied to the operational dynamics of traffic systems within a smart city, focusing on the security and operational efficiency of the traffic communication network. Empirical testing and analysis demonstrate that the communication network, as designed, is susceptible to malware attacks by 25.68%, representing the least vulnerability among the three algorithms assessed. Moreover, in examining the bus trip time distribution with the implementation of this model, the average running time is predominantly around 11.76 minutes, which is a reduction of 0.74 minutes compared to previous configurations, thereby indicating an improvement in operational efficiency.

Design of Intelligent City Communication Network Based on Internet of Things

Applied Mathematics and Nonlinear Sciences

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

{"article-title":"Design of Intelligent City Communication Network Based on Internet of Things"}

In response to the advancements in Internet of Things (IoT) technology and the growing demands for data transmission, there is a crucial need for further...

Design of Intelligent City Communication Network Based on Internet of Things

Data publikacji: 02 lip 2024

Zakres stron: -

Otrzymano: 14 mar 2024

Przyjęty: 02 cze 2024

DOI: https://doi.org/10.2478/amns-2024-1509

Słowa kluczowe
OFDM algorithm, ZC sequence, CRC error checking code, Multi-node communication network, IoT technology

© 2024 Yongbo Ma et al., published by Sciendo

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

Design of Intelligent City Communication Network Based on Internet of Things

Data publikacji: 02 lip 2024

Zakres stron: -

Otrzymano: 14 mar 2024

Przyjęty: 02 cze 2024

DOI: https://doi.org/10.2478/amns-2024-1509

Słowa kluczoweOFDM algorithm, ZC sequence, CRC error checking code, Multi-node communication network, IoT technology

© 2024 Yongbo Ma et al., published by Sciendo

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

Słowa kluczowe
OFDM algorithm, ZC sequence, CRC error checking code, Multi-node communication network, IoT technology