A Congestion Controlling Mechanism Using Smart Self Divisional Congestion Node Window (SSDCNW) And Traffic Analysis For VANET
Main Article Content
Abstract
Vehicular ad hoc networks are a very common area of study in which research work is carried out on different issues, such as end-to-end data routing without loss. Routing is a very tedious activity in this network because the place of vehicles is always changed location-wise. In this paper, we propose a Smart Self Divisional Congestion Node window (SSDCNW) for minimizing the congestion window size and provide the data rates of the protocol used for Jaipur and Kota city in Vanet. In WAVE/ IEEE 802.11p vehicular ad hoc networks, we studied the mechanism of transmission packets over the control channel. The findings of the simulations carried out in a practical environment justify our theoretical considerations and confirm our protocol's feasibility and effectiveness by demonstrating substantial changes in network efficiency. We analyzed the performance of the system for 2 general scenarios. With the NS-3 simulator and SUMO, we performed detailed simulation operations to find the effect of our proposed SSDCNW technique to forecast data rates and reduce and controlling the congestion level. A rise in packet processing time does not have a significant effect on network efficiency for most messages; on the contrary, it is significant for messages to arrive correctly.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.