Multi-threshold Hysteresis-Based Congestion Control for UAV-Based Detection Sensor Network
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-30258-9_52
Reference11 articles.
1. Aliyu, B., Machnev, E.A., Mokrov, E.V.: Hysteretic congestion control in wireless cloud sensor networks. Inform. Appl. 16(3), 83–89 (2022). https://doi.org/10.14357/19922264220311
2. Bagaa, M., Challal, Y., Ksentini, A., Derhab, A., Badache, N.: Data aggregation scheduling algorithms in wireless sensor networks: solutions and challenges. Commun. Surv. Tutor. 16, 1339–1368 (2014). https://doi.org/10.1109/SURV.2014.031914.00029
3. Gapeyenko, M., Petrov, V., Moltchanov, D., Andreev, S., Himayat, N., Koucheryavy, Y.: Flexible and reliable UAV-assisted backhaul operation in 5G mmWave cellular networks. IEEE J. Sel. Areas Commun. 36(11), 2486–2496 (2018)
4. Ghazali, M.H.M., Teoh, K., Rahiman, W.: A systematic review of real-time deployments of UAV-based LoRa communication network. IEEE Access 9, 124817–124830 (2021). https://doi.org/10.1109/ACCESS.2021.3110872
5. Ghorbel, M.B., Rodríguez-Duarte, D., Ghazzai, H., Hossain, M.J., Menouar, H.: Joint position and travel path optimization for energy efficient wireless data gathering using unmanned aerial vehicles. IEEE Trans. Veh. Technol. 68(3), 2165–2175 (2019). https://doi.org/10.1109/TVT.2019.2893374
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