Selection of Solar Powered Unmanned Aerial Vehicles for a Long Range Data Acquisition Chain

Autor: Wiktor Woźniak, Mieczyslaw Jessa
Rok vydání: 2021
Předmět:
energy harvesting
distributed measurement network
Computer science
data acquisition
Real-time computing
solar energy
02 engineering and technology
sensors
lcsh:Chemical technology
Biochemistry
Article
Analytical Chemistry
photovoltaic cell
Data acquisition
wireless sensor network
Range (aeronautics)
0202 electrical engineering
electronic engineering
information engineering
lcsh:TP1-1185
Electrical and Electronic Engineering
Instrumentation
agriculture
business.industry
Payload
020208 electrical & electronic engineering
020206 networking & telecommunications
Solar energy
renewable energy
Atomic and Molecular Physics
and Optics
Drone
Renewable energy
environment monitoring
network chain
unmanned aerial vehicles
business
Wireless sensor network
Energy harvesting
routing protocols
radio relay network
Zdroj: Sensors, Vol 21, Iss 2772, p 2772 (2021)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 8
ISSN: 1424-8220
Popis: The paper presents a long range data acquisition chain operating in areas without access to the electricity grid or communication infrastructure built with unmanned aerial vehicles (UAVs). It is assumed that the length of the network chain significantly exceeds the flight range of a single drone. To build such a network three basic problems have to be solved. The first is energy harvesting for battery charging. The second concerns the choice of drone models that can cover a given distance in the shortest time. The third problem is the reduction of the flight range of drones as a function of payload mass. The evaluation of the proposed method is based on the results of simulations and cost analysis of 54 drones and 25 solar cells. The analysis ends with a proposition of seven steps that can help to choose the most suitable drone model for a given task.
Databáze: OpenAIRE
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