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@article{164680, author = {G. Karthikeyan and Dr. S. Rizwana}, title = {A Robust QoS based Clustering Protocol for Avoiding Link Failure and Maintaining Communication in Vehicular Adhoc-Networks }, journal = {International Journal of Innovative Research in Technology}, year = {}, volume = {10}, number = {12}, pages = {1660-1671}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=164680}, abstract = {The Vehicular Ad hoc Network (VANET) is a type of MANET that is distinguished by its extraordinary mobility. Therefore, it is a huge challenge to maintain the stability in these networks. These mobility-based routing methods neglect the Quality of Service demands, because this protocol performance depends on vehicle speed, driving environment, whereas the QoS baśsed algorithms neglect the conditions of high speed mobility. Truly, the increased movement of vehicles would reduce the network lifespan and result in connection outages owing to the clusters getting disconnected often. The primary contribution made by this research study is to propose a robust QoS-based Optimized Link State Routing (QoS-OLSR), which depends on Enhanced Particle Swarm Optimization () and preserve the stability of communications and avoid link outages when fulfilling the Quality of Service demands. This work proposes VANET QoS-OLSR, a novel cluster-based protocol for VANET. This protocol takes mobility constraints and Quality of Service requirements into account. It does this by (1) taking high mobility parameters into account when computing QoS, (2) using Enhanced Particle Swarm Optimization () to select Multi Points Relays (MPRs), and (3) using an MPR recovery method that can select an alternate and keep the network connected in the event of a link outage. that the network can remain stable, end-to-end latency can be reduced, packet delivery ratio can be increased, and communications complexity can be kept to a minimum with this suggested framework.}, keywords = {QoS-based Optimized Link State Routing (QoS-OLSR), QoS, Enhanced Particle Swarm Optimization (), Points Relay (MPRs).}, month = {}, }
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