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Today, the connections between vehicles and their surroundings are limited. However, with the
development of the Internet of Things (IoT) and the new technological developments, there have been
serious progresses in the Internet of Vehicles (IoV), and vehicle manufacturers have made various
studies in this subject. However, these studies generally suggest a link between cars and users. Today,
most of the studies do not refer to the connection between vehicles or the vehicle and its environment,
so it is necessary to carry out such a study. In this study, it is aimed to establish an ad-hoc network
between vehicles and their environments to optimize the number of vehicles to be accommodated in
this temporary network. However, it is aimed to share traffic flow and speed information by
communicating the vehicles in urban traffic. In this sense, there is no speed and direction limitations in
the transient network to be created between vehicles without a specific limitation. Simulation studies
have been carried out on the optimization of the network by considering the problems such as; use of
the bandwidth efficiently and the removal of the interference problems in the communication between
the vehicles and their environments. In order to solve these problems, Artificial Neural Network and
Simulated Annealing (SA) algorithms are used to optimize the number of vehicles to be included in
the ad-hoc network in the simulations, which performed in MATLAB environment.
International Congress on 3D Printing (Additive Manufacturing) Technologies and Digital Industry
3D-PTC2019
Ercüment Öztürk
Ahmet Ulu
Tuğrul Çavdar