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arXiv 2011.06766cs.RO

Formation-based Selection of Drone Swarm Services

The University of Sydney(悉尼大学)

Balsam Alkouz, Athman Bouguettaya

英文摘要:

Swarm of drones are increasingly being asked to carry out missions that can't be completed by one drone. Particularly, in delivery, issues arise due to the swarm's limited flight endurance. Hence, we propose a novel formation-guided framework for selecting Swarm-based Drone-as-a-Service (SDaaS) for delivery. A detailed study is carried out to highlight the effect of swarm formations on energy consumption. Two SDaaS selection approaches, i.e. Fixed and Adaptive, are designed considering the different formation decisions a swarm can take. The proposed framework considers extrinsic constraints including wind speed and direction. We propose SDaaS selection algorithms for each approach. Experimental results prove the efficiency of the proposed algorithms.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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