Art
J-GLOBAL ID:202202244800464026   Reference number:22A0841570

Path Planning for Multi-Vehicle-Assisted Multi-UAVs in Mobile Crowdsensing

モバイルクラウドセンシングにおけるマルチビークル支援マルチUAVのための経路計画【JST・京大機械翻訳】
Author (5):
Material:
Volume: 2022  Page: Null  Publication year: 2022 
JST Material Number: W1338A  ISSN: 1530-8669  Document type: Article
Article type: 原著論文  Country of issue: United Kingdom (GBR)  Language: ENGLISH (EN)
Abstract/Point:
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Semi thesaurus term:
Thesaurus term/Semi thesaurus term
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All keywords is available on JDreamIII(charged).
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JST classification (2):
JST classification
Category name(code) classified by JST.
Mobile communication  ,  Computer networks 
Reference (25):
  • H. Ma, D. Zhao, P. Yuan, "Opportunities in mobile crowd sensing," IEEE Communications Magazine, vol. 52, no. 8, pp. 29-35, 2014.
  • A. M. A. al-muqarm, F. Rabee, "IoT technologies for mobile crowd sensing in smart cities," Journal of Communications, vol. 14, no. 8, pp. 745-757, 2019.
  • Z. Zhou, J. Feng, B. Ai, M. Guizani, "Energy-efficient mobile crowd sensing based on unmanned aerial vehicles," 2018 IEEE global communications conference (GLOBECOM), pp. 1-6, Abu Dhabi, United Arab Emirates, 2018.
  • M. Chen, Y. Hao, M. Qiu, J. Song, D. Wu, I. Humar, "Mobility-aware caching and computation offloading in 5G ultra-dense cellular networks," Sensors, vol. 16, no. 7, pp. 974, 2016.
  • Y. Yang, Z. Zheng, K. Bian, L. Song, Z. Han, "Real-time profiling of fine-grained air quality index distribution using UAV sensing," IEEE Internet of Things Journal, vol. 5, no. 1, pp. 186-198, 2017.
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