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- W2896084095 abstract "Vehicular ad hoc networks (VANETs) are considered a practical application of mobile and ad hoc networks. They have potential to ease traffic management, lower accident rates, and they are essential to autonomous vehicles. In this work, we propose a Memetic Algorithm, called Gamma-LSGA, for solving the allocation of roadside units (RSUs) in VANETs. The Gamma-LSGA algorithm uses two hill climbing-based heuristics. To assure quality of service, we use a metric called Gamma Deployment. That metric is based on two aspects: (i) the intercontact time between vehicles and RSUs and (ii) the percentage of vehicles fulfilling such inter-contact time. We run experiments using a mobility trace from the city of Cologne, Germany, and compared our results with the ones delivered by the deterministic heuristic Gamma-G, previously proposed. For almost all comparison cases, the memetic approach provided results with fewer RSUs than Gamma-G, with gains up to 32.7%." @default.
- W2896084095 created "2018-10-26" @default.
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- W2896084095 date "2018-07-01" @default.
- W2896084095 modified "2023-09-26" @default.
- W2896084095 title "A Memetic Algorithm Approach to Deploy RSU s Based on the Gamma Deployment Metric" @default.
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- W2896084095 doi "https://doi.org/10.1109/cec.2018.8477731" @default.
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