English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In this paper, we generally study performance of some network routing algorithms. These are Kruskal’s, Prim’s and Sollin’s algorithms as tree algorithms that are used in minimum spanning trees problems. Further, we propose new algorithms that are modeled by game-theoretical approach. Mathematical models have been used to solve complex problems such as those in social sciences, economics, psychology, politics and telecommunication. In this context, game theory can be defined as a mathematical framework consisting of models and techniques analyzing the behavior of individuals concerned about their own benefits. Game theory deals with multi-person decision making, in which each decision maker tries to maximize own utility or minimize own cost and is applied to networking, in most cases to solve routing and resource allocation problems in a competitive environment. Modeling the network scenarios with the game-theoretical approach is one of the pioneering aims of the study. The algorithms for performance analysis are carried out OMNeT++, which is a network simulation program. Finally, the results are compared with each other and the literature.

A New Game-Theoretical Approach in Network Routing: Algorithms and Their Performance Analysis in OMNeT++