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A genetic algorithm for management of coding resources in VANET

This project aims to improve the throughput, energy consumption and overhead of vehicular ad hoc network (VANET) by optimising the network coding (NC) using Genetic Algorithm (GA). VANET shows a promising technology as it could enhance the traffic efficiency and promote traffic safety on the road sy...

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Bibliographic Details
Main Authors: Lee, Chun Hoe, Lim, Kit Guan, Min Keng Tan, Renee Ka Yin Chin, Kenneth Tze Kin Teo
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2017
Subjects:
QA76.75-76.765 Computer software
Online Access:https://eprints.ums.edu.my/id/eprint/29027/1/A%20genetic%20algorithm%20for%20management%20of%20coding%20resources%20in%20VANET_ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/29027/2/A_genetic_algorithm_for_management_of_coding_resources_in_VANET.pdf
https://eprints.ums.edu.my/id/eprint/29027/
https://doi.org/10.1109/I2CACIS.2017.8239037
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https://eprints.ums.edu.my/id/eprint/29027/1/A%20genetic%20algorithm%20for%20management%20of%20coding%20resources%20in%20VANET_ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/29027/2/A_genetic_algorithm_for_management_of_coding_resources_in_VANET.pdf
https://eprints.ums.edu.my/id/eprint/29027/
https://doi.org/10.1109/I2CACIS.2017.8239037

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