UAV Path Optimization for Precision Agriculture Wireless Sensor Networks
Autor: | Luiz Lima, Marcelo Eduardo Pellenz, Richard Demo Souza, Gilson E. Just, Samuel Montejo-Sanchez, Bruno S. Chang |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
data gathering
Computer science Real-time computing Context (language use) ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology lcsh:Chemical technology Biochemistry Article Analytical Chemistry 0202 electrical engineering electronic engineering information engineering unmanned aerial vehicle lcsh:TP1-1185 Motion planning Electrical and Electronic Engineering wireless sensor networks Instrumentation path planning precision agriculture Process (computing) Hibernation (computing) Control reconfiguration 020206 networking & telecommunications Atomic and Molecular Physics and Optics ComputingMilieux_COMPUTERSANDSOCIETY 020201 artificial intelligence & image processing Precision agriculture Transmission time Wireless sensor network |
Zdroj: | Sensors Volume 20 Issue 21 Sensors (Basel, Switzerland) Sensors, Vol 20, Iss 6098, p 6098 (2020) |
ISSN: | 1424-8220 |
DOI: | 10.3390/s20216098 |
Popis: | The use of monitoring sensors is increasingly present in the context of precision agriculture. Usually, these sensor nodes (SNs) alternate their states between periods of activation and hibernation to reduce battery usage. When employing unmanned aerial vehicles (UAVs) to collect data from SNs distributed over a large agricultural area, we must synchronize the UAV route with the activation period of each SN. In this article, we address the problem of optimizing the UAV path through all the SNs to reduce its flight time, while also maximizing the SNs&rsquo lifetime. Using the concept of timeslots for time base management combined with the idea of flight prohibition list, we propose an efficient algorithm for discovering and reconfiguring the activation time of the SNs. Experimental results were obtained through the development of our own simulator&mdash UAV Simulator. These results demonstrate a considerable reduction in the distance traveled by the UAV and also in its flight time. In addition, the model provides a reduction in transmission time by SNs after reconfiguration, thus ensuring a longer lifetime for the SNs in the monitoring environment, as well as improving the freshness and continuity of the gathered data, which support the decision-making process. |
Databáze: | OpenAIRE |
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