A genetic algorithm for management of coding resources in VANET

• المؤلفون الرئيسيون: Lee, Chun Hoe, Lim, Kit Guan, Min Keng Tan, Renee Ka Yin Chin, Kenneth Tze Kin Teo
• التنسيق: Conference or Workshop Item
• اللغة: English; English
• منشور في: IEEE 2017
• الموضوعات: QA76.75-76.765 Computer software
• الوصول للمادة أونلاين: 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

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...