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Analisis performa protokol perutean reaktif untuk optimisasi kinerja komunikasi vehicle to vehicle
The study delves into the topic of enhancing the Quality of Service (QoS) in Vehicle-to-Vehicle (V2V) communication scenarios within Vehicular Ad Hoc Networks (VANETs) The primary focus is on fine-tuning parameters in the Learning Automata-based Ad Hoc On-Demand Distance Vector protocol (LA-AODV) The evaluation mcompasses three different versions of LA-AODV, comparing them with previous studies (LA-AODV parameter setups A, B, and C) and the standard AODV protocol. The study investigates various QoS metries, including flood ID, packet less ratio (PLR), packet delivery ratio (PDR), average throughput, end-to-end delay, and end-to-end jitter. The findings showcase that LA-AODV variants considerably reduce flood ID counts in comparison to AUDV, particularly setups A and B, showing improvements of 10.24% and 28.74%, respectively, when compared to AODV at 200 times, indicating minimized network overhead and enhanced scalability. LA-AODV setup A also exhihits superior stability in throughput compared to AODV in more extensive networks, delivering 5.4% higher throughput at 200 times. Furthermore, LA- AODV variants also significantly decrease end-to-end delay and jitter delay, surpassing 99 99% and 99.93% reductions a 30 times compared to AODV. These results shed on the adaptability of LA-AODV in diverse traffic scenarios and underscore the significance of parameter tuning in maintaining consistent performance in VZV communication. The study gives precedence to evaluating the effectiveness of LA-AODV in practical scenarios by juxtaposing it with the standard AODV protocol. Future studies will expand this research by comparing LA-AODV with other established methods to broaden our comprehension of its performance in V2V communication
TI24/015 | TI 24/015 | Prodi Teknik Informatika (Ruang Skripsi dan Tesis) | Tersedia |
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