RSSI-Controlled Long-Range Communication in Secured IoT-Enabled Unmanned Aerial Vehicles | Zendy

Inam Ullah Khan | Zendy; Ryan Alturki | Zendy; Hasan J. Alyamani | Zendy; Mohammed Abdulaziz Ikram | Zendy; Muhammad Adnan Aziz | Zendy; Vinh Truong Hoang | Zendy; Tanweer Ahmad Cheema | Zendy

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RSSI-Controlled Long-Range Communication in Secured IoT-Enabled Unmanned Aerial Vehicles

Author(s) -

Inam Ullah Khan,

Ryan Alturki,

Hasan J. Alyamani,

Mohammed Abdulaziz Ikram,

Muhammad Adnan Aziz,

Vinh Truong Hoang,

Tanweer Ahmad Cheema

Publication year - 2021

Publication title -

mobile information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.346

H-Index - 34

eISSN - 1875-905X

pISSN - 1574-017X

DOI - 10.1155/2021/5523553

Subject(s) - computer science , real time computing , wireless , classifier (uml) , decision tree , tree (set theory) , wireless ad hoc network , identification (biology) , range (aeronautics) , wireless network , artificial intelligence , machine learning , computer network , telecommunications , mathematical analysis , botany , materials science , mathematics , composite material , biology

Department of Electronic Engineering, School of Engineering and Applied Sciences, Isra University, Islamabad, Pakistan Department of Information Science, College of Computer and Information Systems, Umm Al-Qura University, Makkah, Saudi Arabia Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Rabigh, Saudi Arabia Computer Science Department, University College in Al-Jamoum, Umm Al-Qura University, Makkah, Saudi Arabia Faculty of Computer Science, Ho Chi Minh City Open University, Ho Chi Minh city, Vietnam

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