Publication:
Wireless Underground Sensor Network Path Loss Models for Durian Tree

dc.contributor.authorSupachai Phaiboonen_US
dc.contributor.authorPisit Phokharatkulen_US
dc.contributor.otherKasem Bundit Universityen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2022-08-04T08:37:09Z
dc.date.available2022-08-04T08:37:09Z
dc.date.issued2021-01-01en_US
dc.description.abstractIn order to maintain plant growth and protect brackish water of durian tree, wireless underground sensor networks (WUSNs) are applied. In this study, path loss models were formulated based on the curve-fitting for LoRa WSN at the banana garden in Nakornchaisri district of Thailand. Additionally, there were deterministic large-scale models based on a measurement campaign at a frequency of 433 MHz. The path loss between the transmitter node and the receiver node was modeled and derived based on the received signal strength indicator (RSSI) measurements. We investigated how soil contents affected the path loss models especially sandy loam for durian planting. The results show that the proposed path loss model with topping attenuation factor (TAF) outperforms especially for underground-to-underground communication (UG2UG) comparing with conventional models.en_US
dc.identifier.citationProgress in Electromagnetics Research Symposium. Vol.2021-November, (2021), 284-288en_US
dc.identifier.doi10.1109/PIERS53385.2021.9694792en_US
dc.identifier.issn19317360en_US
dc.identifier.issn15599450en_US
dc.identifier.other2-s2.0-85126395672en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/76963
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85126395672&origin=inwarden_US
dc.subjectEngineeringen_US
dc.subjectMaterials Scienceen_US
dc.titleWireless Underground Sensor Network Path Loss Models for Durian Treeen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85126395672&origin=inwarden_US

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