A Q-learning-based routing scheme for smart air quality monitoring system using flying ad hoc networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F04274644%3A_____%2F22%3A%230000913" target="_blank" >RIV/04274644:_____/22:#0000913 - isvavai.cz</a>

Result on the web

<a href="https://www.nature.com/articles/s41598-022-20353-x" target="_blank" >https://www.nature.com/articles/s41598-022-20353-x</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41598-022-20353-x" target="_blank" >10.1038/s41598-022-20353-x</a>

Result language

angličtina

Original language name

A Q-learning-based routing scheme for smart air quality monitoring system using flying ad hoc networks

Original language description

Air pollution has changed ecosystem and atmosphere. It is dangerous for environment, human health, and other living creatures. This contamination is due to various industrial and chemical pollutants, which reduce air, water, and soil quality. Therefore, air quality monitoring is essential. Flying ad hoc networks (FANETs) are an effective solution for intelligent air quality monitoring and evaluation. A FANET-based air quality monitoring system uses unmanned aerial vehicles (UAVs) to measure air pollutants. Therefore, these systems have particular features, such as the movement of UAVs in three-dimensional area, high dynamism, quick topological changes, constrained resources, and low density of UAVs in the network. Therefore, the routing issue is a fundamental challenge in these systems. In this paper, we introduce a Q-learning-based routing method called QFAN for intelligent air quality monitoring systems. The proposed method consists of two parts: route discovery and route maintenance. In the part one, a Q-learning-based route discovery mechanism is designed. Also, we propose a filtering parameter to filter some UAVs in the network and restrict the search space. In the route maintenance phase, QFAN seeks to detect and correct the paths near to breakdown. Moreover, QFAN can quickly identify and replace the failed paths. Finally, QFAN is simulated using NS2 to assess its performance. The simulation results show that QFAN surpasses other routing approaches with regard to end-to-end delay, packet delivery ratio, energy consumption, and network lifetime. However, communication overhead has been increased slightly in QFAN.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10200 - Computer and information sciences

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Scientific Reports

ISSN

2045-2322

e-ISSN

—

Volume of the periodical

12

Issue of the periodical within the volume

1

Country of publishing house

DE - GERMANY

Number of pages

17

Pages from-to

1-17

UT code for WoS article

000887936300055

EID of the result in the Scopus database

2-s2.0-85142418233