摘要
Ad hoc networks offer promising applications due to their ease of use,installation,and deployment,as they do not require a centralized control entity.In these networks,nodes function as senders,receivers,and routers.One such network is the Flying Ad hoc Network(FANET),where nodes operate in three dimensions(3D)using Unmanned Aerial Vehicles(UAVs)that are remotely controlled.With the integration of the Internet of Things(IoT),these nodes form an IoT-enabled network called the Internet of UAVs(IoU).However,the airborne nodes in FANET consume high energy due to their payloads and low-power batteries.An optimal routing approach for communication is essential to address the problem of energy consumption and ensure energy-efficient data transmission in FANET.This paper proposes a novel energy-efficient routing protocol named the Integrated Energy-Efficient Distributed Link Stability Algorithm(IEE-DLSA),featuring a relay mechanism to provide optimal routing with energy efficiency in FANET.The energy efficiency of IEE-DLSA is enhanced using the Red-Black(R-B)tree to ensure the fairness of advanced energy-efficient nodes.Maintaining link stability,transmission loss avoidance,delay awareness with defined threshold metrics,and improving the overall performance of the proposed protocol are the core functionalities of IEE-DLSA.The simulations demonstrate that the proposed protocol performs well compared to traditional FANET routing protocols.The evaluation metrics considered in this study include network delay,packet delivery ratio,network throughput,transmission loss,network stability,and energy consumption.
基金
supported in part by the Chongqing Natural Science Foundation Innovation and Development Joint Foundation(No.CSTB2024NSCQ-LZX0035)
Science and Technology Research Project of Chongqing Education Commission(No.KJZD-M202300605)
Nanning“Yongjiang Plan”Youth Talent Project(RC20230107)
Special General Project for Chongqing’s TechNological Innovation and Application Development(CSTB2022TIAD-GPX0028)
Chongqing Natural Science Foundation Project(CSTB2022NSCQ-MSX0230)
supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project Number(PNURSP2024R 343)
Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia and the authors extend their appreciation to the Deanship of Scientific Research at Northern Border University,Arar,Kingdom of Saudi Arabia,for funding this research work through the Project Number“NBU-FFR2024-1092-07”.