Evaluating the Performance of Proposed Switched Beam Antenna Systems in Dynamic V2V Communication Networks.

5G V2V intelligent transportation system vehicular safety

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
29 Jul 2023
Historique:
received: 05 07 2023
revised: 17 07 2023
accepted: 20 07 2023
medline: 12 8 2023
pubmed: 12 8 2023
entrez: 12 8 2023
Statut: epublish

Résumé

This paper develops a novel approach for reliable vehicle-to-vehicle (V2V) communication in various environments. A switched beam antenna is deployed at the transmitting and receiving points, with a beam management system that concentrates the power in each beam using a low-computation algorithm and a potential mathematical model. The algorithm is designed to be flexible for various environments faced by vehicles. Additionally, an anti-failure system is proposed in case the intelligent transportation system (ITS) system fails to retrieve real-time Packet Delivery Ratio (PDR) values related to traffic density. Performance metrics include the time to collision in seconds, the bit error rate (BER), the packet error rate (PER), the average throughput (Mbps), the beam selection probability, and computational complexity factors. The proposed system is compared with traditional systems. Extensive experiments, simulations, and comparisons show that the proposed approach is excellent and reliable for vehicular systems. The proposed study demonstrates an average throughput of 1.7 Mbps, surpassing conventional methods' typical throughput of 1.35 Mbps. Moreover, the bit error rate (BER) of the proposed study is reduced by a factor of 0.1. Additionally, the proposed framework achieves a beam power efficiency of touching to 100% at computational factor of 34. These metrics indicate that the proposed method is both efficient and sufficiently robust.

Identifiants

pubmed: 37571565
pii: s23156782
doi: 10.3390/s23156782
pmc: PMC10422314
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : FRGS
ID : MMUE/210058 (FRGS/1/2021/TK02/MMU/02/1) and MMUE/190229 (FRGS/1/2020/TK02/MMU/03/1).

Auteurs

Tahir H Ahmed (TH)

Centre of Wireless Technology, Multimedia University, Cyberjaya 63000, Malaysia.

Jun Jiat Tiang (JJ)

Centre of Wireless Technology, Multimedia University, Cyberjaya 63000, Malaysia.

Azwan Mahmud (A)

Centre of Wireless Technology, Multimedia University, Cyberjaya 63000, Malaysia.

Chung Gwo-Chin (C)

Centre of Wireless Technology, Multimedia University, Cyberjaya 63000, Malaysia.

Dinh-Thuan Do (DT)

Department of Computer Science and Information Engineering, College of Information and Electrical Engineering, Asia University, Taichung 41354, Taiwan.

Classifications MeSH