are a subset of MANETs in which vehicles are considered as network clients. These networks have been created to communicate between vehicles and traffic control on the roads. have similar features to MANETs and their main special property is the high-speed node mobility which makes a quick change of the network. The rapid change of network topology is a major challenge in routing. One of the well-known routing protocols in VANETs is the AODV routing protocol. In this inquiry, nature-inspired algorithms such as GOA and GA are used to improve routing in VANETs to search the optimal configuration of the AODV routing protocol, and its impact on network evaluation criteria has been investigated. The rating measures applied in this research are the packet delivery ratio, end-to-end delays, and normalized routing load.
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Khaleghi Tabar, A., & Farazkish, R. (2021). Routing Improvement for Vehicular Ad Hoc Networks (VANETs) Using Nature Inspired Algorithms. Soft Computing Journal, 6(2), 72-85.
MLA
Akram Khaleghi Tabar; Razieh Farazkish. "Routing Improvement for Vehicular Ad Hoc Networks (VANETs) Using Nature Inspired Algorithms", Soft Computing Journal, 6, 2, 2021, 72-85.
HARVARD
Khaleghi Tabar, A., Farazkish, R. (2021). 'Routing Improvement for Vehicular Ad Hoc Networks (VANETs) Using Nature Inspired Algorithms', Soft Computing Journal, 6(2), pp. 72-85.
VANCOUVER
Khaleghi Tabar, A., Farazkish, R. Routing Improvement for Vehicular Ad Hoc Networks (VANETs) Using Nature Inspired Algorithms. Soft Computing Journal, 2021; 6(2): 72-85.
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