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Journal : JOIV : International Journal on Informatics Visualization

Wireless Data Communications in WSN Networks Using UAV Miptahudin, Rd Apip; Suryani, Titiek; Wirawan, Wirawan
JOIV : International Journal on Informatics Visualization Vol 9, No 2 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.2.2940

Abstract

This research explores the impact of environmental and technical factors on air-to-ground (A2G) wireless communications using drones, specifically tackling challenges like multipath propagation, Doppler effects, and geographical variability. The study aims to analyze performance determinants of A2G communications, develop a simulation model to predict communication issues and offer recommendations for optimizing interactions between drones and ground stations. The methodology includes data collection from field tests and simulations, focusing on various environmental and weather conditions. Statistical data analysis, including regression and hypothesis testing, is employed to interpret the results. Key findings reveal that factors such as operational altitude, drone speed, and weather conditions—mainly rain—significantly affect throughput, latency, and packet loss. Optimal communication performance is achieved at a drone height of 120 meters, with rural environments offering the best conditions for data transmission. Conversely, urban settings experience decreased throughput and increased latency due to physical obstructions like buildings and infrastructure. These insights highlight the need for adaptive communication technologies and comprehensive testing across diverse conditions. The research advocates further exploring advanced antenna technologies, dynamic operational adjustments informed by real-time environmental data, and robust security measures to enhance communication reliability. In conclusion, this study establishes a strong foundation for future advancements in drone communication technologies, aiming to improve the safety and efficiency of drone operations across various applications. The findings serve as a roadmap for developing innovative solutions to address the inherent challenges of A2G communications in varying operational environments.
Wireless Sensor Network Based Monitoring System: Implementation, Constraints, and Solution Miptahudin, Apip; Suryani, Titiek; Wirawan, Wirawan
JOIV : International Journal on Informatics Visualization Vol 6, No 4 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.4.1530

Abstract

Wireless Sensor Network (WSN) is a collection of sensors communicating at close range by forming a wireless-based network (wireless). Since 2015 research related to the use of WSN in various health, agriculture, security industry, and other fields has continued to grow. One interesting research case is the use of WSN for the monitoring process by collecting data using sensors placed and distributed in locations based on a wireless system. Sensors with low power, multifunction, supported by a combination of wireless network, microcontroller, memory, operating system, radio communication, and energy source in the form of an integrated battery enable a monitoring process of the monitoring area to run properly. The implementation of the wireless sensor network includes five main parts, namely sender, receiver, wireless transmission media, data/information, network architecture/configuration, and network management. Network management itself includes network configuration management, network performance management, network failure management, network security management, and network financing management. The main obstacles in implementing a wireless sensor network include three things: an effective and efficient data sending/receiving process, limited and easily depleted sensor energy/power, network security, and data security that is vulnerable to eavesdropping and destruction. This paper presents a taxonomy related to the constraints in implementing Wireless Sensor Networks. This paper also presents solutions from existing studies related to the constraints of implementing the WSN. Furthermore, from the results of the taxonomy mapping of these constraints, new gaps were identified related to developing existing research to produce better solutions.