An Efficient Clustering Approach Broadcast Scheduling Process in Heterogeneous Vehicular Communication

An ECABS proposed model introduces a fresh approach to vehicular communication in Vehicular Ad Hoc Networks (VANET) Using a multi-band network architecture with frequencies of 6 GHz, 5.9 GHz, and 60 GHz, ECABS forms a hierarchical multi-hop structure that dynamically adapts cluster formations based on real-time and historical vehicle data, optimizing data transmission, and improving network stability when fading. The model assigns vehicles to cluster heads (CH) and cluster members (CM) based on connectivity and mobility patterns, ensuring efficient communication. Experimental simulations conducted on Ubuntu OS ns-3 demonstrated that ECABS excels beyond the three current models BIOS, P20-ACH, and various CSCFs. ECABS achieved a data success rate of 102.84%, the lowest data loss rate of 12.11 %, and reduced the average). delay to 84.78 milliseconds. It also had the highest network throughput of 401.87 Kbps and the lowest routing load of 187.45 packets. ECABS has shown to be highly effective in enhancing communication reliability, reducing delays, and optimizing resource utilization in VANETs over time, making it a promising candidate for future intelligent transportation systems.

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Published
2025-03-27
DOI
https://doi.org/10.1109/icfts62006.2025.11032074
Primary Topic
Advanced Wireless Network Optimization
Type
article
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article

An Efficient Clustering Approach Broadcast Scheduling Process in Heterogeneous Vehicular Communication

M. Venkatanaresh, M. Murugan, Amneh Alamleh, V. Krishna Kumar et al.
Advanced Wireless Network Optimization
article

An Efficient Clustering Approach Broadcast Scheduling Process in Heterogeneous Vehicular Communication

M. Venkatanaresh, M. Murugan, Amneh Alamleh, V. Krishna Kumar, S. Vamsi Ujwala, ربيع شفيق لطفي عطير
article en

Abstract

An ECABS proposed model introduces a fresh approach to vehicular communication in Vehicular Ad Hoc Networks (VANET) Using a multi-band network architecture with frequencies of 6 GHz, 5.9 GHz, and 60 GHz, ECABS forms a hierarchical multi-hop structure that dynamically adapts cluster formations based on real-time and historical vehicle data, optimizing data transmission, and improving network stability when fading. The model assigns vehicles to cluster heads (CH) and cluster members (CM) based on connectivity and mobility patterns, ensuring efficient communication. Experimental simulations conducted on Ubuntu OS ns-3 demonstrated that ECABS excels beyond the three current models BIOS, P20-ACH, and various CSCFs. ECABS achieved a data success rate of 102.84%, the lowest data loss rate of 12.11 %, and reduced the average). delay to 84.78 milliseconds. It also had the highest network throughput of 401.87 Kbps and the lowest routing load of 187.45 packets. ECABS has shown to be highly effective in enhancing communication reliability, reducing delays, and optimizing resource utilization in VANETs over time, making it a promising candidate for future intelligent transportation systems.

Zarqa University (JO), St. Joseph's Institute of Technology (IN), Yashwantrao Chavan Maharashtra Open University (IN)
Openalex Percentile: Top 88%
Advanced Wireless Network Optimization
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An Efficient Clustering Approach Broadcast Scheduling Process in Heterogeneous Vehicular Communication — M. Venkatanaresh, M. Murugan, et al. · (2025) | TGRS Research Map | TGRS