Prajith Prabhakar, V. Yokesh, Prasanth Aruchamy, Sathish Nanthakumar
{"title":"Artificial Intelligence-Enabled Fully Echoed Q-Routing and Adaptive Directional Medium Access Control Protocol for Flying Ad-Hoc Networks","authors":"Prajith Prabhakar, V. Yokesh, Prasanth Aruchamy, Sathish Nanthakumar","doi":"10.1002/dac.6138","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>In today's world, communication is critical to multi-UAV (Unmanned Aerial Vehicle) system design, enabling UAVs to collaborate and operate cohesively. UAVs generally rely on infrastructure-based communication through ground stations or satellites. However, this approach has numerous limitations, particularly in multi-UAV systems. Ad hoc networking among UAVs offers a solution by allowing direct communication without needing fixed infrastructure. This work introduces two innovative protocols: Artificial Intelligence-enabled Fully Echoed Q-Routing (AI-FEQ) and Position-Prediction-based directional MAC (PPMAC) protocols for improving the performance of multi-UAV systems. These protocols leverage AI techniques like unsupervised, supervised, and reinforcement learning to make intelligent decisions regarding topology formation, maintenance, and routing management. Furthermore, the proposed AI algorithm will enhance the development and sustainability of Flying Ad Hoc Network (FANET) topologies that help to enlarge the communication efficiency and reliability of multi-UAV systems. The simulation results reveal that the proposed AI-FEQ protocol achieves an impressive network density association of 90% and minimal data transmission latency of 4.9 s as compared to the existing protocols.</p>\n </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 4","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Communication Systems","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/dac.6138","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
In today's world, communication is critical to multi-UAV (Unmanned Aerial Vehicle) system design, enabling UAVs to collaborate and operate cohesively. UAVs generally rely on infrastructure-based communication through ground stations or satellites. However, this approach has numerous limitations, particularly in multi-UAV systems. Ad hoc networking among UAVs offers a solution by allowing direct communication without needing fixed infrastructure. This work introduces two innovative protocols: Artificial Intelligence-enabled Fully Echoed Q-Routing (AI-FEQ) and Position-Prediction-based directional MAC (PPMAC) protocols for improving the performance of multi-UAV systems. These protocols leverage AI techniques like unsupervised, supervised, and reinforcement learning to make intelligent decisions regarding topology formation, maintenance, and routing management. Furthermore, the proposed AI algorithm will enhance the development and sustainability of Flying Ad Hoc Network (FANET) topologies that help to enlarge the communication efficiency and reliability of multi-UAV systems. The simulation results reveal that the proposed AI-FEQ protocol achieves an impressive network density association of 90% and minimal data transmission latency of 4.9 s as compared to the existing protocols.
期刊介绍:
The International Journal of Communication Systems provides a forum for R&D, open to researchers from all types of institutions and organisations worldwide, aimed at the increasingly important area of communication technology. The Journal''s emphasis is particularly on the issues impacting behaviour at the system, service and management levels. Published twelve times a year, it provides coverage of advances that have a significant potential to impact the immense technical and commercial opportunities in the communications sector. The International Journal of Communication Systems strives to select a balance of contributions that promotes technical innovation allied to practical relevance across the range of system types and issues.
The Journal addresses both public communication systems (Telecommunication, mobile, Internet, and Cable TV) and private systems (Intranets, enterprise networks, LANs, MANs, WANs). The following key areas and issues are regularly covered:
-Transmission/Switching/Distribution technologies (ATM, SDH, TCP/IP, routers, DSL, cable modems, VoD, VoIP, WDM, etc.)
-System control, network/service management
-Network and Internet protocols and standards
-Client-server, distributed and Web-based communication systems
-Broadband and multimedia systems and applications, with a focus on increased service variety and interactivity
-Trials of advanced systems and services; their implementation and evaluation
-Novel concepts and improvements in technique; their theoretical basis and performance analysis using measurement/testing, modelling and simulation
-Performance evaluation issues and methods.