AODV-M: The AODV Modified with Link Quality Prediction for WSN
摘要
With the expansion of wireless IoT networks, efficient data routing has become essential to ensure optimal performance. The Ad hoc On-Demand Distance Vector (AODV) protocol is used for routing in ad hoc networks but has certain limitations, particularly its reliance on hop count for route selection. This issue, known as the data routing problem, is exacerbated by many factors, including frequent link breaks. Therefore, improving routing stability becomes crucial. In this work, we propose an enhanced version of the AODV protocol by integrating link quality prediction into the data routing process. The proposed Modified AODV protocol (AODV-M) operates through five key stages. The link quality prediction model is incorporated into the data routing process to improve route selection. The simulation results show that AODV-M manages higher traffic volumes with higher packet delivery rates, and the jitter increases slowly compared to the standard AODV protocol. We conclude that AODV-M is suitable for high-mobility networks with better quality of service.