Abstract
In view of the problem that the channel resources cannot be allocated optimally in Vehicular Ad Hoc NETwork (VANET) with nodes sending information at fixed power, we propose an adaptive VANET power control algorithm. The algorithm calculates the vehicle’s position prediction error, dynamically adjusts the transmission power according to different error sizes, and then optimizes channel resource allocation and node routing performance. The experimental results show that our algorithm can adaptively adjust the transmission power, reduce the channel occupancy rate and increase the data packet delivery rate, so that the information transmission between vehicles becomes more effective.
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Wang, M., Yin, G., Du, F., Wang, J., Zhang, Y. (2020). Research on Adaptive Beacon Transmitting Power Based on Vehicle Forecast Error. In: Chen, X., Yan, H., Yan, Q., Zhang, X. (eds) Machine Learning for Cyber Security. ML4CS 2020. Lecture Notes in Computer Science(), vol 12487. Springer, Cham. https://doi.org/10.1007/978-3-030-62460-6_8
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DOI: https://doi.org/10.1007/978-3-030-62460-6_8
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