Research Article
Energy Optimization with Adaptive Transmit Power Control for UAV-Assisted Data Transmission in VANETs
@INPROCEEDINGS{10.1007/978-3-030-66785-6_54, author={Wei Hu and Demin Li and Xingxing Hu and Yue Li}, title={Energy Optimization with Adaptive Transmit Power Control for UAV-Assisted Data Transmission in VANETs}, proceedings={Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings}, proceedings_a={MLICOM}, year={2021}, month={1}, keywords={Adaptive transmit power control Relative position Energy optimization}, doi={10.1007/978-3-030-66785-6_54} }- Wei Hu
Demin Li
Xingxing Hu
Yue Li
Year: 2021
Energy Optimization with Adaptive Transmit Power Control for UAV-Assisted Data Transmission in VANETs
MLICOM
Springer
DOI: 10.1007/978-3-030-66785-6_54
Abstract
Time for unmanned aerial vehicle (UAV) assisted vehicular ad hoc networks (VANETs) to promote the efficient data transmission is limited. To this end, improving the endurance of UAV has become a crucial issue. In this paper, we first propose an energy optimization model to improve the endurance of UAV, which consider not only the flying energy, but also communication energy. By considering the relative position between UAV and vehicle, adaptive transmission power is applied to communication energy consumption. Second, in order to verify the existence of the solution, we use Rolle’s theorem and the monotonicity of the function to prove the objective function, and obtain the approximate solution of the objective function by using the principle of inequality. Finally, compare with optimized algorithm and algorithm without optimized communication energy, and our proposed algorithm which performance is better than the existing energy optimization algorithms.
