Semantic Scholar Open Access 2018 173 sitasi

Energy-Efficient Industrial Internet of UAVs for Power Line Inspection in Smart Grid

Zhenyu Zhou Chuntian Zhang Chen Xu Fei Xiong Yan Zhang +1 lainnya

Abstrak

Industrial Internet of unmanned aerial vehicles (IIoUAVs) that enable autonomous inspection and measurement of anything anytime anywhere have become an essential component of the future industrial Internet of things (IIoT) ecosystem. In this paper, we investigate how to apply IIoUAVs for power line inspection in smart grid from an energy-efficiency perspective. First, the energy consumption minimization problem is formulated as a joint optimization problem, which involves both the large-timescale optimization, such as trajectory scheduling, velocity control, and frequency regulation, and the small-timescale optimization, such as relay selection and power allocation. Then, the original NP-hard problem is transformed into a two-stage suboptimal problem by exploring the timescale difference and the energy magnitude difference between the large-timescale and the small-timescale optimizations, and is solved by combining dynamic programming (DP), auction theory, and matching theory. Finally, the proposed algorithm is verified based on real-world map and realistic power grid topology.

Topik & Kata Kunci

Penulis (6)

Z

Zhenyu Zhou

C

Chuntian Zhang

C

Chen Xu

F

Fei Xiong

Y

Yan Zhang

T

T. Umer

Format Sitasi

Zhou, Z., Zhang, C., Xu, C., Xiong, F., Zhang, Y., Umer, T. (2018). Energy-Efficient Industrial Internet of UAVs for Power Line Inspection in Smart Grid. https://doi.org/10.1109/TII.2018.2794320

Akses Cepat

Lihat di Sumber doi.org/10.1109/TII.2018.2794320
Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
173×
Sumber Database
Semantic Scholar
DOI
10.1109/TII.2018.2794320
Akses
Open Access ✓