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Advanced Line-of-Sight (LOS) model for communicating devices in modern indoor environment.
Waqas, Muhammad; Abbas, Qamar; Qureshi, Ahsan; Amin, Farhan; de la Torre Díez, Isabel; Uc Rios, Carlos; Gongora, Henry Fabian.
Afiliação
  • Waqas M; Department of Computer Science, Faculty of Computing and IT, International Islamic University, Islamabad, Pakistan.
  • Abbas Q; Department of Computer Science, Faculty of Computing and IT, International Islamic University, Islamabad, Pakistan.
  • Qureshi A; Faculty of Computing and Information Technology, University of Jeddah, Khulais, Kingdom of Saudi Arabia.
  • Amin F; School of Computer Science and Engineering, Yeungnam University, Gyeongsan, Republic of Korea.
  • de la Torre Díez I; Department of Signal Theory and Communications, University of Valladolid, Valladolid, Spain.
  • Uc Rios C; Universidad Europea del Atlántico, Santander, Spain.
  • Gongora HF; Universidad Internacional Iberoamericana, Campeche, México.
PLoS One ; 19(7): e0305039, 2024.
Article em En | MEDLINE | ID: mdl-38968251
ABSTRACT
The provision of Wireless Fidelity (Wi-Fi) service in an indoor environment is a crucial task and the decay in signal strength issues arises especially in indoor environments. The Line-of-Sight (LOS) is a path for signal propagation that commonly impedes innumerable indoor objects damage signals and also causes signal fading. In addition, the Signal decay (signal penetration), signal reflection, and long transmission distance between transceivers are the key concerns. The signals lose their power due to the existence of obstacles (path of signals) and hence destroy received signal strength (RSS) between different communicating nodes and ultimately cause loss of the packet. Thus, to solve this issue, herein we propose an advanced model to maximize the LOS in communicating nodes using a modern indoor environment. Our proposal comprised various components for instance signal enhancers, repeaters, reflectors,. these components are connected. The signal attenuation and calculation model comprises of power algorithm and hence it can quickly and efficiently find the walls and corridors as obstacles in an indoor environment. We compared our proposed model with state of the art model using Received Signal Strength (RSS) and Packet Delivery Ratio (PDR) (different scenario) and found that our proposed model is efficient. Our proposed model achieved high network throughput as compared to the state-of-the-art models.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Tecnologia sem Fio Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Paquistão

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Tecnologia sem Fio Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Paquistão