Xihai Zhang

Northeast Agricultural University

Papers

1

Total Citations

20

H-Index

1

About

Xihai Zhang is a researcher at the forefront of agricultural IoT and wireless sensor networks, with a specialized focus on enhancing the performance of LoRaWAN (Long Range Wide Area Network) technology. His most notable contribution is the development of an improved adaptive data rate (ADR) algorithm, designed specifically for mobile sensor nodes in agricultural settings. This work, published in 2024 and already garnering 20 citations, addresses a critical challenge in precision farming: maintaining reliable, energy-efficient communication for sensors that move across fields, such as those on drones or autonomous tractors. By optimizing data transmission parameters in real time, Zhang’s algorithm significantly extends battery life and reduces packet loss, enabling more robust and scalable monitoring of soil, crop, and environmental conditions. This breakthrough not only advances the practical deployment of IoT in agriculture but also provides a foundation for future research into adaptive network protocols. Zhang’s work is essential reading for engineers and scientists developing smart farming solutions, demonstrating how targeted algorithmic improvements can bridge the gap between theoretical wireless communication models and real-world agricultural demands.

Research Focus

Key Achievements

1
H-Index
1
Papers
20
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
An improved adaptive data rate algorithm of LoRaWAN for agricultural mobile sensor nodes
20 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Northeast Agricultural University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago