An Energy-Efficient Trajectory Prediction for UAVs Using an Optimised 3D Improvised Protocol-Reference-Cited by-同舟云学术

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An Energy-Efficient Trajectory Prediction for UAVs Using an Optimised 3D Improvised Protocol

Published:2023-10 Issue:4 Volume:132 Page:2963-2989
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Gupta Vinti,Seth Dambarudhar,Yadav Devendra Kumar

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11277-023-10753-1.pdf

Reference50 articles.

1. Sang, Q., Honghai, W., Xing, L., & Xie, P. (2020). Review and comparison of emerging routing protocols in flying ad hoc networks. Symmetry. https://doi.org/10.3390/sym12060971

2. Peng, J., Gao, H., Liu, L., Wu, Y. & Xu, X. (2020). FNTAR: A future network topology-aware routing protocol in UAV networks. In Proc. IEEE Wireless Commun. Netw. Conf. (WCNC), May, pp. 1–6. https://doi.org/10.1109/WCNC45663.2020.9120842

3. Qin, P., Zhu, Y., Zhao, X., Feng, X., Liu, J., & Zhou, Z. (2021). Joint 3DLocation planning and resource allocation for XAPS-enabled C-NOMA in 6G heterogeneous Internet of things. IEEE Transactions on Vehicular Technology, 70(10), 10594–10609. https://doi.org/10.1109/TVT.2021.3109883

4. Luis, C. E., & Schoellig, A. P. (2019). Trajectory generation for multiagent point-to-point transitions via distributed model predictive control. IEEE Robotics and Automation Letters, 4(2), 375–382. https://doi.org/10.1109/LRA.2018.2890572

5. He, W., Qi, X., & Liu, L. (2021). A novel hybrid particle swarm optimization for multi-UAV cooperate path planning. Applied Intelligence, 51, 7350–7364. https://doi.org/10.1007/s10489-020-02082-8

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1. Optimizing Drone-Based IoT Base Stations in 6G Networks Using the Quasi-opposition-Based Lemurs Optimization Algorithm;International Journal of Computational Intelligence Systems;2024-08-19

2. 3Dimensional improvise clustering algorithm for unmanned aerial vehicles: 3DICA;International Journal of Information Technology;2024-02-29

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