Abstract
The advent of autonomous navigation, positioning, and general robotics technologies has enabled the improvement of small to miniature-sized unmanned aerial vehicles (UAVs, or ‘drones’) and their wide uses in engineering practice. Recent research endeavors further envision a systematic integration of aerial drones and traditional contact-based or ground-based sensors, leading to an aerial–ground wireless sensor network (AG-WSN), in which the UAV serves as both a gateway besides and a remote sensing platform. This paper serves two goals. First, we will review the recent development in architecture, design, and algorithms related to UAVs as a gateway and particularly illustrate its nature in realizing an opportunistic sensing network. Second, recognizing the opportunistic sensing need, we further aim to focus on achieving energy efficiency through developing an active radio frequency (RF)-based wake-up mechanism for aerial–ground data transmission. To prove the effectiveness of energy efficiency, several sensor wake-up solutions are physically implemented and evaluated. The results show that the RF-based wake-up mechanism can potentially save more than 98.4% of the energy that the traditional duty-cycle method would otherwise consume, and 96.8% if an infrared-receiver method is used.
| Original language | English |
|---|---|
| Article number | 1047 |
| Journal | Sensors (Switzerland) |
| Volume | 19 |
| Issue number | 5 |
| DOIs | |
| State | Published - Mar 1 2019 |
| Externally published | Yes |
Funding
Funding: This material is partially based upon work supported by the National Science Foundation (NSF) under Award Number IIA-1355406 and work supported by the United States Department of Agriculture’s National Institute of Food and Agriculture (USDA-NIFA) under Award Number 2015-68007-23214. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of NSF or USDA-NIFA. This material is partially based upon work supported by the National Science Foundation (NSF) under Award Number IIA-1355406 and work supported by the United States Department of Agriculture’s National Institute of Food and Agriculture (USDA-NIFA) under Award Number 2015-68007-23214. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of NSF or USDA-NIFA.
Keywords
- Aerial-ground network
- Energy efficiency
- Radio frequency
- Sensor activation
- Unmanned aerial vehicle