Abstract
This article presents the results of research on the acceleration of data processing in the construction routing in dynamic DTN, realized through the devices established in moving objects and connected by means of Wi-Fi. The routes are constructed based on the prehistory of the movement of objects, which is stored in the database in the csv format. This database has a large volume and contains unnecessary and incorrect information. The article shows the possibility of speeding up the process of constructing routes using data precleaning. Reducing data volume is proposed by constructing an enlarged grid on the object movement map. This article also demonstrates the use of fuzzy logic and graph theory for constructing routes.
Highlights
By 2020, wireless network traffic will much exceed the traffic on the wired Ethernet
One of the characteristics of the efficiency of such a network is the technology of organizing data transmission in the network, routing
This article describes the case of constructing a dynamic DTN between devices that are in motion and communicating with each other via Wi-Fi
Summary
By 2020, wireless network traffic will much exceed the traffic on the wired Ethernet. Wi-Fi technology is one of the most important perspectives today in the field of computer communications. Wi-Fi is the ability to transfer data between devices for short distances without wires. Devices connected via wireless technology form a network. One of the characteristics of the efficiency of such a network is the technology of organizing data transmission in the network, routing. This article describes the case of constructing a dynamic DTN between devices that are in motion and communicating with each other via Wi-Fi. The authors create a routing system based on information about previous movements of devices using graph theory
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