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Smart city article details
| Title | Optimized Handover Algorithm For Vehicular Ad Hoc Network |
|---|---|
| ID_Doc | 40728 |
| Authors | Oladosu G.; Tu C.; Owolawi P.A. |
| Year | 2019 |
| Published | ACM International Conference Proceeding Series |
| DOI | http://dx.doi.org/10.1145/3377170.3377277 |
| Abstract | The Internet of Things (IoT) has played a tremendous change in the Information Technology (IT) environments, and thus its importance has also been realized on networks such as Vehicular Ad hoc Networks (VANETs). VANETs are subsets of MANETs wherein vehicles are employed as mobile nodes and outfitted with On-Board Units (OBS). The main goal of VANETs is to convey solace and safety applications to ensure safety for road users. However, it's been realized that more and advanced vehicles continue to be introduced and employed on the roads of VANETs. This seems to lead to network bottleneck such as handover delay, end-to-end delay and thus degrades network throughput and could cause issues during the handover process. In this paper, an algorithm called Optimized Handover Algorithm (OHA) is proposed to solve the bottleneck incurred during the handover process in VANETs. The proposed algorithm integrates two wellknown optimization algorithms known as Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO). PSO defines priority limits for vehicle nodes to provide road safety on the network. Meanwhile, ACO is used by vehicles to establish the most cost-effective path between its origin and final destination. Furthermore, we designed and implemented the Congestion Problems Reduction (CPR) algorithm to limit the number of vehicle requests to be processed in priority order. It is exhibited by Network Simulator-2 (NS-2) simulations that the proposed algorithm yields to a decrease handover delay, increased average throughput and offers a reasonable decreased latency at different vehicle speeds and packet sizes. The proposed algorithm also provides improvements to the Quality of Service (QoS). © 2019 Association for Computing Machinery. |
| Author Keywords | Ant Colony Optimization (ACO); Handover; Optimization; Particle Swarm Optimization (PSO); Quality of Service (QoS); Vehicular Ad hoc Networks (VANETs) |
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