IOT Knowledge-Based Routing Algorithms Agent-Oriented Modeling

The theme of the graduation work: "Agent modeling knowledge-based routing algorithms in IoT". In this paper we consider the process of agent-based modeling of three knowledge-based routing algorithms - algorithms based on the behavior of bats, fireflies and the cat pack. For modeling, there was a special tool, Netlogo, has been used. The process described in this paper modeling consists of the following stages: study of existing knowledge-based data routing algorithms in IoT, design simulation models of three of these algorithms and comparative analysis obtained during the agent-based modeling of the results. The paper contains 50 pages of main text and consists of an introduction, 3 chapters, conclusions, bibliographic list and 5 annexes that contain the code of the tested algorithms in the Netlogo language, as well as data on testing in 6 of the tables. In addition, 17 figures and 1 table are presented in the main text. The graduation qualification work was done by Novikova Alena. Leonidovna, a 4-year student of the group PI-16-2 of the National Research University Higher School of Economics Perm in 2020. The research was carried out as part of the training program.