Frisbee: An Efficient Data Sharing Framework for UAV Swarms

Nowadays, owing to the communication, computation, storage, networking, and sensing abilities, the swarm of unmanned aerial vehicles (UAV) is highly anticipated to be helpful for emergency, disaster, and military situations. Additionally, in such situations, each UAV generates local sensing data with its cameras and sensors. Data sharing in UAV swarm is an urgent need for both users and administrators. For users, they may want to access data stored on any specific UAV on demand. For administrators, they need to construct global information and situational awareness to enable many cooperative applications. This paper makes the first step to tackling this open problem with an efficient data-sharing framework called Frisbee. It first groups all UAVs as a series of cells, each of which has a head-UAV. Inside any cell, all UAVs can communicate with each other directly. Thus, for the intra-cell sharing, Frisbee designs the Dynamic Cuckoo Summary for the head-UAV to accurately index all data inside the cell. For inter-cell sharing, Frisbee designs an effective method to map both the data indices and the head-UAV into a 2-dimensional virtual plane. Based on such virtual plane, a head-UAV communication graph is formed according to the communication range of each head for both data localization and transmission. The comprehensive experiments show that Frisbee achieves 14.7% higher insert throughput, 39.1% lower response delay, and 41.4% less implementation overhead, respectively, compared to the most involved solutions of the ground network.

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Publication Details

Journal
IEEE Transactions on Network Science and Engineering
Published
2024-10-14
DOI
https://doi.org/10.1109/tnse.2024.3479695
Citations
3
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
0.98
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article

Frisbee: An Efficient Data Sharing Framework for UAV Swarms

Lailong Luo, Bangbang Ren, Deke Guo, Qianzhen Zhang et al.
3 citations
IEEE Transactions on Network Science and Engineering
Robotics and Automated Systems
0.98
article

Frisbee: An Efficient Data Sharing Framework for UAV Swarms

Lailong Luo, Bangbang Ren, Deke Guo, Qianzhen Zhang, Yulong Shen, Peipei Chen, Xueshan Luo
article en
3 citations

Abstract

Nowadays, owing to the communication, computation, storage, networking, and sensing abilities, the swarm of unmanned aerial vehicles (UAV) is highly anticipated to be helpful for emergency, disaster, and military situations. Additionally, in such situations, each UAV generates local sensing data with its cameras and sensors. Data sharing in UAV swarm is an urgent need for both users and administrators. For users, they may want to access data stored on any specific UAV on demand. For administrators, they need to construct global information and situational awareness to enable many cooperative applications. This paper makes the first step to tackling this open problem with an efficient data-sharing framework called Frisbee. It first groups all UAVs as a series of cells, each of which has a head-UAV. Inside any cell, all UAVs can communicate with each other directly. Thus, for the intra-cell sharing, Frisbee designs the Dynamic Cuckoo Summary for the head-UAV to accurately index all data inside the cell. For inter-cell sharing, Frisbee designs an effective method to map both the data indices and the head-UAV into a 2-dimensional virtual plane. Based on such virtual plane, a head-UAV communication graph is formed according to the communication range of each head for both data localization and transmission. The comprehensive experiments show that Frisbee achieves 14.7% higher insert throughput, 39.1% lower response delay, and 41.4% less implementation overhead, respectively, compared to the most involved solutions of the ground network.

IEEE Transactions on Network Science and EngineeringVol. 11(6)
Xidian University (CN), National University of Defense Technology (CN), Hangzhou Dianzi University (CN)
Openalex Percentile: Top 23%
Robotics and Automated Systems
0.98
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