Q-learning based Stepwise Routing Protocol for Multi-UAV Networks

Lim, Jae Won; Ko, Young-Bae

doi:10.1109/icaiic51459.2021.9415265

Cited by 12 publications

(1 citation statement)

References 8 publications

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“…As a result, the use of simulations may both accelerate and enhance the development process by allowing for the easy testing of a wide range of parameters. Several published research articles describe the benefits of VANETs, such as the availability of exact and welltested communication protocol models and the usage of a network simulator, like NS-2 [13,14], NS-3 [15], OPNET [16,17], and OMNET++ [18][19][20]. The drawbacks in [19,20] OMNET has been used, several drones and one ground station, the protocol problem arises when some messages are lost and there is a loss of time, complexity, and energy.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation Based on Multi-UAV in Airborne Computer Network System

2022

IJIES

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Airborne wireless communications have a great influence on everyday life making life convenient the development of various types of Unmanned Aerial Vehicles (UAVs) has become in the fields of electronics and communications are possible. Several efforts have been made to develop multi-drone communications protocols and aviation-dedicated networks (FANETs). However, the network protocol behavior has been simulated in this paper using the framework of AVENS, a hybrid wireless network simulation framework, which is integrated with the LARISSA Model, X-PLANE, and the OMNET++ Simulator. The locations of the UAVs of 15 aircraft were studied and the throughput parameters, time, received packets, and propagation time was calculated. The data was successfully transmitted in the form of a UDP Video Stream using the IEEE 802.15.4 protocol, the propagation time of 17.4569 us, received packets of 52%, the throughput of 88,832 Kbps, and a lifetime of 46.9547s was calculated. In addition, a comparison was also made between the proposed system and other research in terms of the number of drones, packets, propagation time, and the simulator used.

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