Vehicular ad hoc networks (VANETs) have gained significant attention recently due to their potential to enhance road safety, traffic management, and in-vehicle services. However, VANETs face challenges such as traffic congestion and hidden node problems that can severely impact their performance and reliability. To solve this issue, we have proposed a method known as EADAMS with load balancing, which helps us solve problems. To understand it better, we use different performance metrics such as packet delivery ratio, delay, and throughput using NS-2 simulation. However, our proposed method is accompanied by Enhanced load balancing with fault-tolerant and fault-tolerant ad hoc on-demand multipath distance vector routing (FD-AOMDV). The proposed method performs far better than the other two techniques regarding performance metrics. The proposed approach aims to optimize power settings to reduce collisions caused by hidden nodes, consequently enhancing packet delivery ratio and minimizing latency.

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Mitigating Traffic Congestion and Hidden Node Challenges in Vehicular Ad Hoc Networks Using EADAMS Load Balancing Algorithm

  • Diksha Pandey,
  • Piyush Kumar Mishra,
  • Devendra Kumar Tripathi,
  • Geetam Singh Tomar

摘要

Vehicular ad hoc networks (VANETs) have gained significant attention recently due to their potential to enhance road safety, traffic management, and in-vehicle services. However, VANETs face challenges such as traffic congestion and hidden node problems that can severely impact their performance and reliability. To solve this issue, we have proposed a method known as EADAMS with load balancing, which helps us solve problems. To understand it better, we use different performance metrics such as packet delivery ratio, delay, and throughput using NS-2 simulation. However, our proposed method is accompanied by Enhanced load balancing with fault-tolerant and fault-tolerant ad hoc on-demand multipath distance vector routing (FD-AOMDV). The proposed method performs far better than the other two techniques regarding performance metrics. The proposed approach aims to optimize power settings to reduce collisions caused by hidden nodes, consequently enhancing packet delivery ratio and minimizing latency.