Unmanned aerial vehicle navifation system based on IEEE 802.15.4 standard radiounits

Sineglazov, V. M.; Daskal, E. V.

doi:10.1109/apuavd.2017.8308820

Cited by 6 publications

(2 citation statements)

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“…The ZigBee protocol is used by Mushtaq et al [28], Min and Nam [29] to perform fly-by-sensors (FBS) flight control with stable flight formation, while Sineglazov and Daskal [30] propose a UAV navigation system for dense urban areas in tunnels or indoor environments. The flight planning and formation model is discussed in Lee et al [31], Park et al [32] where an effective routing protocol for navigation control and an information sharing system with onboard sensors and flight path formation algorithms are proposed for various UAVs.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Multi-UAV Network Applied to Scanning Rocket Impact Area

Silva

Souza

Alsina

et al. 2019

Sensors

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This paper presents a communication network for a squadron of unmanned aerial vehicles (UAVs) to be used in the scanning rocket impact area for Barreira do Inferno Launch Center—CLBI (Rio Grande do Norte, Brazil), aiming at detecting intruder boats. The main features of communication networks associated with multi-UAV systems are presented. This system sends information through Wireless Sensor Networks (WSN). After comparing and analyzing area scanning strategies, it presents the specification of a data communication network architecture for a squadron of UAVs within a sensor network using XBee Pro 900HP S3B modules. A brief description is made about the initial information from the construction of the system. The embedded hardware and the design procedure of a dedicated communication antenna to the XBee modules are presented. In order to evaluate the performance of the proposed architecture in terms of robustness and reliability, a set of experimental tests in different communication scenarios is carried out. Network management software is employed to measure the throughput, packet loss and other performance indicators in the communication links between the different network nodes. Experimental results allow verifying the quality and performance of the network nodes, as well as the reliability of the communication links, assessing signal received quality, range and latency.

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Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Multi-UAV Network Applied to Scanning Rocket Impact Area

Silva

Souza

Alsina

et al. 2019

Sensors

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show abstract

“…Similarly, Sineglazov and Daskal [18] propose an UAV navigation system using radio units based on IEEE 802.15.4. They showed that it is possible to use a wireless network to estimate the location of a UAV.…”

Section: Related Workmentioning

confidence: 99%

Zigbee Protocol-Based Communication Network for Multi-Unmanned Aerial Vehicle Networks

et al. 2020

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This paper proposes a communication protocol for Unmanned Aerial Vehicles (UAVs) using ZigBee technology. A review of the state-of-the-art of Flying Ad-hoc Networks (FANETs) and its main respective technologies is presented in detail. A comparison among Long Term Evaluation (LTE), WiFi, and ZigBee is performed, thus showing that ZigBee stands out as a good alternative to scenarios without proper infrastructure. A Raspberry Pi 3 Model B board associated with module XBEE PRO S3B 915 MHz is embedded in a UAV model DJI Phantom 3 Standard to carry out the tests. The obtained results show that the adopted protocol is capable of sending and receiving images between the UAV and the ground station. Tests are also performed using a flying aircraft, where it is demonstrated that the transmission is successfully executed for all cases and the communication protocol operates accurately. In addition, a brief analysis of the time interval required by the process is presented, as there are no significant differences among the existing scenarios. INDEX TERMS Unmanned aerial vehicles, communication networks, protocols, zigbee, mobile ad-hoc networks.

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Multi-GNSS in Limited Navigation Satellite Availability

Konin

Pogurelskiy

Prykhodko

et al. 2023

Lecture Notes in Networks and Systems

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Unmanned aerial vehicle navifation system based on IEEE 802.15.4 standard radiounits

Cited by 6 publications

References 0 publications

Performance Evaluation of Multi-UAV Network Applied to Scanning Rocket Impact Area

Performance Evaluation of Multi-UAV Network Applied to Scanning Rocket Impact Area

Zigbee Protocol-Based Communication Network for Multi-Unmanned Aerial Vehicle Networks

Multi-GNSS in Limited Navigation Satellite Availability

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