Belief Propagation based Scheduling for Energy Efficient Multi-drone Monitoring System

Soyi Jung, Peng Yang, Tony Q.S. Quek, Jae Hyun Kim

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

A state-of-the-art commercial drones have typically battery limitations to support their operation. Effective battery management is one of the main enablers of practical drone system operations. This paper designs an energy-efficient monitoring drone-based scheduling algorithm to control the number of activation drones in a multi-drone system. This study focuses on reducing overlapping regions of the inter-drone monitoring area in terms of energy efficiency. We formulate this problem as finding a maximum weight independent set (MWIS) problem on a graph model and propose a real-time update of the message algorithm based on belief propagation. Our results showed that the proposed algorithm achieves significant improvements in energy consumption compared to the existing algorithm.

原文English
主出版物標題ICTC 2020 - 11th International Conference on ICT Convergence
主出版物子標題Data, Network, and AI in the Age of Untact
發行者IEEE Computer Society
頁面261-263
頁數3
ISBN(電子)9781728167589
DOIs
出版狀態Published - 2020 十月 21
事件11th International Conference on Information and Communication Technology Convergence, ICTC 2020 - Jeju Island, Korea, Republic of
持續時間: 2020 十月 212020 十月 23

出版系列

名字International Conference on ICT Convergence
2020-October
ISSN(列印)2162-1233
ISSN(電子)2162-1241

Conference

Conference11th International Conference on Information and Communication Technology Convergence, ICTC 2020
國家Korea, Republic of
城市Jeju Island
期間20-10-2120-10-23

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications

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