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A Multiwall Path-Loss Prediction Model Using 433 MHz LoRa-WAN Frequency to Characterize Foliage's Influence in a Malaysian Palm Oil Plantation Environment.
Anzum, Rabeya; Habaebi, Mohamed Hadi; Islam, Md Rafiqul; Hakim, Galang P N; Khandaker, Mayeen Uddin; Osman, Hamid; Alamri, Sultan; AbdElrahim, Elrashed.
Afiliação
  • Anzum R; IoT & Wireless Communication Protocols Lab, Department of Electrical and Computer Engineering, Kulliyyah of Engineering (KOE), International Islamic University Malaysia (IIUM), Kuala Lumpur 53100, Malaysia.
  • Habaebi MH; IoT & Wireless Communication Protocols Lab, Department of Electrical and Computer Engineering, Kulliyyah of Engineering (KOE), International Islamic University Malaysia (IIUM), Kuala Lumpur 53100, Malaysia.
  • Islam MR; IoT & Wireless Communication Protocols Lab, Department of Electrical and Computer Engineering, Kulliyyah of Engineering (KOE), International Islamic University Malaysia (IIUM), Kuala Lumpur 53100, Malaysia.
  • Hakim GPN; IoT & Wireless Communication Protocols Lab, Department of Electrical and Computer Engineering, Kulliyyah of Engineering (KOE), International Islamic University Malaysia (IIUM), Kuala Lumpur 53100, Malaysia.
  • Khandaker MU; Department of Electrical Engineering, Faculty of Engineering, Universitas Mercu Buana, Jakarta 11650, Indonesia.
  • Osman H; Centre for Applied Physics and Radiation Technologies, School of Engineering and Technology, Sunway University, Bandar Sunway 47500, Malaysia.
  • Alamri S; Department of General Educational Development, Faculty of Science and Information Technology, Daffodil International University, DIU Rd, Dhaka 1341, Bangladesh.
  • AbdElrahim E; Department of Radiological Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 2425, Taif 21944, Saudi Arabia.
Sensors (Basel) ; 22(14)2022 Jul 20.
Article em En | MEDLINE | ID: mdl-35891077
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arecaceae Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Malásia
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arecaceae Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Malásia