Planning and Research of Long-Range LoRaWAN Radio Coverage for Large Areas with Complex Terrain
Author:
Affiliation:
1. Department of Communications Equipment and Technologies, Technical University of Gabrovo, 5300 Gabrovo, Bulgaria
2. Department of Physics, Democritus University of Thrace, 68100 Kavala, Greece
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/70/1/43/pdf
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1. Shao, X., Wang, B., Guo, D., Wang, G., Zhang, T., and Yang, T. (2022, January 8–10). Research on Coverage of Wireless Sensor Networks Based on Improved Sparrow Search Algorithm. Proceedings of the 2022 8th International Conference on Control, Automation and Robotics (ICCAR), Xiamen, China.
2. Khodayer Al-Dulaimi, O.M., Hassan Al-Dulaimi, M.K., Alexandra, M.O., and Khodayer Al-Dulaimi, A.M. (2022, January 20–22). Performing Strategic Spectrum Sensing Study for the Cognitive Radio Networks. Proceedings of the 2022 International Conference on Communications, Information, Electronic and Energy Systems (CIEES), Veliko Tarnovo, Bulgaria.
3. Wireless Sensor Network (WSN) Model Targeting Energy Efficient Wireless Sensor Networks Node Coverage;Jia;IEEE Access,2024
4. Angelov, K., Tashev, P., and Kogias, P. (2022, January 17). Modeling and Reliability Assessment of LoRaWAN Networks. Proceedings of the International Scientific Conference UNITECH 2022, Gabrovo, Bulgaria.
5. Low-Power Wide-Area Networks for Sustainable IoT;Qin;IEEE Wirel. Commun.,2019
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