학술논문

Enabling Cooperative Routing in Cognitive Radio Networks via Overlapping Coalitions by using Coalition Formation Games
Document Type
Conference
Source
2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) Advance Computing and Innovative Technologies in Engineering (ICACITE), 2023 3rd International Conference on. :2447-2450 May, 2023
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Computational modeling
Collaboration
Radio navigation
Transportation
Games
Routing
Planning
Cognitive Radio Networks
Routing Pathways
Multi-hop Collaboration Model
McRoute and Cooperative Routing Protocols
Language
Abstract
In cognitive radio, coordinated relaying delivers temporal and spatial variety, making it a practical method to increase bandwidth. The vast majority of current scholarship uses this method for two - hop connection, that might not fully use the advantages of cooperate communications. Therefore, it is not possible to realise the essential of number of co bilateral repeating from the present study and more information is required. In this study, we take into account a network of concurrent secondary and primary users whose goal is to increase output via coordinated efforts. This goal is expressed as an overlap’s consensus building game. We developed mcRoute, a dispersed number of co labour party agreeable scheduling and routing system, based on a live commentary that creates stable consortia that serve users' shared interests. A main user builds a partnership of relay nodes to relay its message as part of the transportation route it chooses. By forwarding matching main transmissions and using their channels for its own transmissions, a user equipment joins one or so more partnerships. Ultimately, using in-depth computational modeling, we evaluate the algorithm's effectiveness.