1
|
Amran GA, Wang S, Al-qaness MAA, Mohsan SAH, Abbas R, Ghaleb E, Alshathri S, Abd Elaziz M. Efficient and Secure WiFi Signal Booster via Unmanned Aerial Vehicles WiFi Repeater Based on Intelligence Based Localization Swarm and Blockchain. Micromachines (Basel) 2022; 13:1924. [PMID: 36363945 PMCID: PMC9697992 DOI: 10.3390/mi13111924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/16/2022] [Accepted: 11/04/2022] [Indexed: 06/16/2023]
Abstract
Recently, the unmanned aerial vehicles (UAV) under the umbrella of the Internet of Things (IoT) in smart cities and emerging communities have become the focus of the academic and industrial science community. On this basis, UAVs have been used in many military and commercial systems as emergency transport and air support during natural disasters and epidemics. In such previous scenarios, boosting wireless signals in remote or isolated areas would need a mobile signal booster placed on UAVs, and, at the same time, the data would be secured by a secure decentralized database. This paper contributes to investigating the possibility of using a wireless repeater placed on a UAV as a mobile booster for weak wireless signals in isolated or rural areas in emergency situations and that the transmitted information is protected from external interference and manipulation. The working mechanism is as follows: one of the UAVs detect a human presence in a predetermined area with the thermal camera and then directs the UAVs to the location to enhance the weak signal and protect the transmitted data. The methodology of localization and clusterization of the UAVs is represented by a swarm intelligence localization (SIL) optimization algorithm. At the same time, the information sent by UAV is protected by blockchain technology as a decentralization database. According to realistic studies and analyses of UAVs localization and clusterization, the proposed idea can improve the amplitude of the wireless signals in far regions. In comparison, this database technique is difficult to attack. The research ultimately supports emergency transport networks, blockchain, and IoT services.
Collapse
Affiliation(s)
- Gehad Abdullah Amran
- Department of Management Science and Engineering, Dalian University of Technology, Dalian 116024, China
| | - Shuang Wang
- College of Software Engineering, Northeastern University, Shenyang 110169, China
| | - Mohammed A. A. Al-qaness
- College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua 321004, China
| | - Syed Agha Hassnain Mohsan
- Optical Communications Laboratory, Ocean College, Zhejiang University, Zheda Road 1, Zhoushan 316021, China
| | - Rizwan Abbas
- Department of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
| | - Eissa Ghaleb
- College of Computer and Information Science, Southwest University, Chongqing 400715, China
| | - Samah Alshathri
- Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
| | - Mohamed Abd Elaziz
- Department of Mathematics, Faculty of Science, Zagazig University, Zagazig 44519, Egypt
- Faculty of Computer Science &Engineering, Galala University, Suze 435611, Egypt
- Artificial Intelligence Research Center (AIRC), Ajman University, Ajman 346, United Arab Emirates
- Department of Electrical and Computer Engineering, Lebanese American University, Byblos 4307, Lebanon
| |
Collapse
|