Abstract
Today, the use of computer networks is evident in all walks of life, including mobile phones, vehicles, personal computers, the workplace and more. Creating and operating networks between each of the above-mentioned devices require good infrastructure to be able to communicate between these devices. To solve this problem, there were networks called ad-hoc networks, which were able to network with each other without the need for specific infrastructure and only through direct and wireless communication between the equipment. But how to make the right connections in these types of networks, as well as high-speed communication for devices, are also challenges for researchers. In this study, we try to implement the communication between these devices by the DSR routing algorithm and, using the Q learning technique of the reinforced learning algorithm, we enhance it to respond to QOS in Ad-Hoc mobile networks compared to previous solutions. In addition to what has been improved in this article. In the following articles, we will try to improve the discussion of communication security using this method and also apply this method to routing VANETs networks.
Highlights
Today, wireless communication is one of the most important human communication needs
We concluded that our proposed model has a lower routing overhead than the optimization model using ant colonies in some routes and has a higher performance in routing some routes than the optimal model
In our model, after simulation, the delays are low due to finding short and effective routes in all routes. This indicates the high performance of this model compared to the optimized model using ant colonies
Summary
Wireless communication is one of the most important human communication needs. The number of devices that have wireless receivers and transmitters is increasing day by day, which requires proper infrastructure to communicate with each other. Mobile Ad-Hoc Networks (MANETs) have been developed to provide secure, wireless communication. These types of networks are a set of nodes and each node can communicate wirelessly, exchanging information with other nodes. Devices exchange information on these networks without the need for any infrastructure. Given the prevalence of COVID-19 disease, which is one of the most challenging human problems to date, adhoc mobile networks can be of great help in controlling and preventing the spread of the disease. As we can see in the news and media, the countries involved in this virus have been forced to build morning hospitals due to the rapid spread of the disease and its progressive growth, more than the medical capacities of those countries
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