Proceedings ArticleDOI
QoS for highly dynamic Vehicular ad hoc network optimality
Prabhakar Rontala Subramaniam,Arunkumar Thangavelu,Chitra Venugopal +2 more
- pp 405-411
TLDR
A receiver based routing algorithm for achieving Optimal QoS for highly dynamic Vehicular Ad hoc Network (QVANO) and the proposed algorithm is compared with AODV.Abstract:
Extensive researches are being carried out to implement on-demand, QoS supported VANET routing algorithms. Reliability and timely information delivery are of high concern in VANETs. Providing optimal QoS over specific period of time with varying number of nodes (vehicles) is highly challenging the VANET research groups. This paper addresses the importance of providing optimal QoS for multimedia applications in VANET. Research work carried out and presented in this paper proposes a receiver based routing algorithm for achieving Optimal QoS for highly dynamic Vehicular Ad hoc Network (QVANO). The metrics used to achieve optimal QoS is delay, packet loss and bandwidth. The proposed algorithm is compared with AODV. Simulation test runs are generated using NS-2. Several test beds were configured to analyse the performance of the proposed algorithm.read more
Citations
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Journal ArticleDOI
Improving QoS in Internet of Vehicles Integrating Swarm Intelligence Guided Topology Adaptive Routing and Service Differentiated Flow Control
Tanuja Kayarga,A. S +1 more
TL;DR: In this paper , an integration of hybrid metaheuristics guided routing and service differentiated flow control is proposed to ensure QoS in Internet of Vehicles. But, the proposed solution is not able to achieve higher packet delivery ratio and 9.67% lower end to end packet latency compared to existing works.
References
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