TY - GEN
T1 - A spatio-temporal event model for unmanned system swarm
AU - Yang, Yukun
AU - Yao, Yuan
AU - Yang, Gang
AU - Zhou, Xingshe
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - As a typical distributed system, the unmanned system swarm realizes collaboration through information exchange between individuals. This paper proposes a spatiotemporal event model for unmanned swarms to provide support for stable operation and rapid response. First, based on the analysis of the collaboration problems in unmanned swarms, the collaboration relationship between unmanned cluster tasks is summarized according to graph theory. Then, we define and describe the spatio-temporal events for unmanned swarms, and obtain 3 temporal primitives and 6 spatial primitives according to the temporal relationship and spatial topological relationship. Finally, design an event-driven architecture that uses event triggering, heartbeat mechanism, and active inquiry methods to ensure the unmanned cluster system's consistency and fault tolerance on the basis of satisfying the rapid response of the unmanned system swarm.
AB - As a typical distributed system, the unmanned system swarm realizes collaboration through information exchange between individuals. This paper proposes a spatiotemporal event model for unmanned swarms to provide support for stable operation and rapid response. First, based on the analysis of the collaboration problems in unmanned swarms, the collaboration relationship between unmanned cluster tasks is summarized according to graph theory. Then, we define and describe the spatio-temporal events for unmanned swarms, and obtain 3 temporal primitives and 6 spatial primitives according to the temporal relationship and spatial topological relationship. Finally, design an event-driven architecture that uses event triggering, heartbeat mechanism, and active inquiry methods to ensure the unmanned cluster system's consistency and fault tolerance on the basis of satisfying the rapid response of the unmanned system swarm.
KW - Collaboration
KW - Event model
KW - Event-driven architecture
KW - Spatiotemporal
KW - Unmanned system swarm
UR - http://www.scopus.com/inward/record.url?scp=85108028279&partnerID=8YFLogxK
U2 - 10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00188
DO - 10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00188
M3 - 会议稿件
AN - SCOPUS:85108028279
T3 - Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020
SP - 1271
EP - 1277
BT - Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020
A2 - Hu, Jia
A2 - Min, Geyong
A2 - Georgalas, Nektarios
A2 - Zhao, Zhiwei
A2 - Hao, Fei
A2 - Miao, Wang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th IEEE International Symposium on Parallel and Distributed Processing with Applications, 10th IEEE International Conference on Big Data and Cloud Computing, 13th IEEE International Symposium on Social Computing and Networking and 10th IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020
Y2 - 17 December 2020 through 19 December 2020
ER -
