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Fully Integrated Data Communication Framework by Using Visualization Augmented Reality for Internet of Things Networks.
Qureshi, Kashif Naseer; Alhudhaif, Adi; Anwar, Raja Waseem; Bhati, Shahid Nazir; Jeon, Gwanggil.
Afiliação
  • Qureshi KN; Department of Computer Science, Bahria University, Islamabad, Pakistan.
  • Alhudhaif A; Department of Computer Science, College of Computer Engineering and Sciences in Al-kharj, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia.
  • Anwar RW; Faculty of Computer Studies, Arab Open University, Muscat, Sultanate of Oman.
  • Bhati SN; Department of Software Engineering, University of Jeddah, Jeddah, Saudi Arabia.
  • Jeon G; Department of Embedded Systems Engineering, Incheon National University, Incheon, South Korea.
Big Data ; 9(4): 253-264, 2021 08.
Article em En | MEDLINE | ID: mdl-33989047
The new and integrated area called Internet of Things (IoT) has gained popularity due to its smart, objects, services and affordability. These networks are based on data communication, augmented reality (AR), and wired and wireless infrastructures. The basic objective of these network is data communication, environment monitoring, tracking, and sensing by using smart devices and sensor nodes. The dAR is one of the attractive and advanced areas that is integrated in IoT networks in smart homes and smart industries to convert the objects into 3D to visualize information and provide interactive reality-based control. With attraction, this idea has suffered with complex and heavy processes, computation complexities, network communication degradation, and network delay. This article presents a detailed overview of these technologies and proposes a more convenient and fast data communication model by using edge computing and Fifth-Generation platforms. The article also introduces a Visualization Augmented Reality framework for IoT (VAR-IoT) networks fully integrated by communication, sensing, and actuating features with a better interface to control the objects. The proposed network model is evaluated in simulation in terms of applications response time and network delay and it observes the better performance of the proposed framework.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Internet das Coisas / Realidade Aumentada Idioma: En Revista: Big Data Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Internet das Coisas / Realidade Aumentada Idioma: En Revista: Big Data Ano de publicação: 2021 Tipo de documento: Article