Volume 4 - Issue 2
Network Aggregation and Long Term Proportional Fairness with Modified Quantum-Behaved Particle Swarm Optimization (LTPFMQ) Based Scheduler in Vehicular AD-HOC Networks
Abstract
The rapid evolution of wireless communication capabilities and vehicular technology would allow traffic data to be disseminated by travelling vehicles in the near future. Vehicular Ad hoc Networks (VANETs) are self-organizing networks that can significantly improve traffic safety and travel comfort, so the data dissemination in VANET environment is a challenging task. Due to its high bandwidth saving potential, aggregation plays a major role for VANETs. Network aggregation is proposed in this paper for VANETs which is any kind of multi-hop message dissemination where a number of vehicles collaborate to gain knowledge about real-world phenomena. In addition it also solves the inter-vehicle data dissemination problem based on a Wireless Access for Vehicular Environments (WAVE)/802.11p in VANET, using Scalar Algebraic Triangular Network Coding (SATNC). Then scheduling is done by using Long Term Proportional Fairness with Modified Quantum-behaved Particle Swarm Optimization (LTPFMQ) scheduler. Simulation results are presented that illustrate the severity of the inter vehicle data dissemination problem when applying common state-of-the-art techniques and parameters such as packet drop ratio, network load, End-to-End (E2E) delay and packet delivery ratio. The results of these experiments confirm the results obtained in the corresponding simulations.
Paper Details
PaperID: 6702776
Author Name: P. Nivethitha and Dr.J. Suguna
Author Email: -
Phone Number: -
Country: India
Keywords: Broadcast Protocol, Data Dissemination, IEEE 802.11, Modified Quantum behaved Particle Swarm Optimization (MQPSO), Scalar Algebraic Triangular Network Coding (SATNC), Network Aggregation, Vehicular Ad-hoc Networks (VANETs).
Volume: Volume 4
Issues: Issue 2
Issue Type: Issue
Year: 2017
Month: June
Pages:28-39