Abstract
In flying ad hoc networks (FANETs), load balancing is a vital issue. Numerous conventional routing protocols that have been created are ineffective at load balancing. The different scope of its applications has given it wide applicability, as well as the necessity for location assessment accuracy. Subsequently, implementing traffic congestion control based on the current connection status is difficult. To successfully tackle the above problem, we frame the traffic congestion control algorithm as a network utility optimization problem that takes different parameters of the network into account. For the location calculation of unknown nodes, the suggested approach distributes the computational load among flying nodes. Furthermore, the technique has been optimized in a FANET utilizing the firefly algorithm along with the traffic congestion control algorithm. The unknown nodes are located using the optimized backbone. Because the computational load is divided efficiently among the flying nodes, the simulation results show that our technique considerably enhances the network longevity and balanced traffic.
Highlights
Unmanned aerial vehicles (UAVs) have received much attention in the current decade because of their ability to assist humans in a variety of tasks
For flying ad hoc networks (FANETs), we propose the specific functions F1 and F2 with the optimization process by taking different parameters such as end-to-end delay (EED), packet delivery ratio (PDR), fuel emission, and throughput
In the simulation results analysis, we discovered that the network connectivity giving a packet delivery ratio of more than 95% is dependent on the network characteristics of the GPMOR protocol as opposed to the Greedy Perimeter Stateless Routing (GPSR) protocol
Summary
Unmanned aerial vehicles (UAVs) have received much attention in the current decade because of their ability to assist humans in a variety of tasks. UAVs have been employed in a variety of industries, including warfare, agriculture, medicine, photography, and environmental applications, among others. UAVs were initially only employed by the military for surveillance and rescue missions. With the advancement in technology, UAVs are widely employed in a variety of fields, including product shipping and delivery, soil analysis, agricultural monitoring, and so on [3,4]. With the introduction of FANETs, a variety of applications have emerged, including a cargo of goods, domestic package delivery, crop monitoring, agricultural surveillance, and rescue operations. The latest techniques of FANETs are mobility, modeling, and theoretical proofs of communications in FANETs; traffic models and network control for FANETs; security, privacy, and trust in FANETs; performance, scalability, reliability, and efficiency of FANETs; UAV-assisted packages; energy efficiency in FANETs; the emerging Internet of Things (IoT)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
