Multi-Parametric Analysis of Reliability and Energy Consumption in IoT: A Deep Learning Approach.

Ateeq, Muhammad; Ishmanov, Farruh; Afzal, Muhammad Khalil; Naeem, Muhammad

Ateeq, Muhammad; Ishmanov, Farruh; Afzal, Muhammad Khalil; Naeem, Muhammad.

Afiliação

Ateeq M; Department of Computer Science, COMSATS University Islamabad, Wah Campus, Wah Cantt 47040, Pakistan. rmateeq@yahoo.com.
Ishmanov F; Department of Electronics & Communication Engineering, Kwangwoon University, Seoul 01897, Korea. farruh.uzb@gmail.com.
Afzal MK; Department of Computer Science, COMSATS University Islamabad, Wah Campus, Wah Cantt 47040, Pakistan. khalilafzal@ciitwah.edu.pk.
Naeem M; Department of Electrical & Computer Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantt 47040, Pakistan. muhammadnaeem@gmail.com.

Sensors (Basel) ; 19(2)2019 Jan 14.

Article em En | MEDLINE | ID: mdl-30646555

Palavras-chave

IEEE 802.15.4; deep learning; energy consumption; internet of things; packet delivery ratio; prediction; wireless sensor networks

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo

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PubMed Links

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article