SF-Partition-Based Clustering and Relaying Scheme for Resolving Near-Far Unfairness in IoT Multihop LoRa Networks.

Mugerwa, Dick; Nam, Youngju; Choi, Hyunseok; Shin, Yongje; Lee, Euisin

Mugerwa, Dick; Nam, Youngju; Choi, Hyunseok; Shin, Yongje; Lee, Euisin.

Afiliação

Mugerwa D; School of Information and Communication Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea.
Nam Y; School of Information and Communication Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea.
Choi H; School of Information and Communication Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea.
Shin Y; Research Institute for Computer and Information Communication, Chungbuk National University, Cheongju 28644, Republic of Korea.
Lee E; School of Information and Communication Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea.

Sensors (Basel) ; 22(23)2022 Nov 30.

Article em En | MEDLINE | ID: mdl-36502034

Assuntos

Internet das Coisas; Análise por Conglomerados; Comunicação; Polissacarídeo-Liases

Palavras-chave

higher spreading factor zone (HSFZ); long range (LoRa); lower spreading factor zone (LSFZ); spreading factor (SF)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Internet das Coisas Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article

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