Aerial interactions with wireless sensors
File(s)poster-abstract-aerial.pdf (2.5 MB)
Accepted version
Author(s)
Bhatia, L
Boyle, David
McCann, Julie
Type
Conference Paper
Abstract
Sensing systems incorporating unmanned aerial vehicles have the potential to enable a host of hitherto impractical monitoring applications using wireless sensors in remote and extreme environments. Their use as data collection and power delivery agents can overcome challenges such as poor communications reliability in difficult RF environments and maintenance in areas dangerous for human operatives. Aerial interaction with wireless sensors presents some interesting new challenges, including selecting or designing appropriate communications protocols that must account for unique practicalities like the effects of velocity and altitude. This poster presents a practical evaluation of the effects of altitude when collecting sensor data using an unmanned aerial vehicle. We show that for an otherwise disconnected link over a long distance (70m), by increasing altitude (5m) the link is created and its signal strength continues to improve over tens of metres. This has interesting implications for protocol design and optimal aerial route planning.
Date Issued
2018-11-04
Date Acceptance
2018-08-31
Citation
SenSys '18 Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, 2018, pp.373-374
ISBN
978-1-4503-5952-8
Start Page
373
End Page
374
Journal / Book Title
SenSys '18 Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems
Copyright Statement
© 2018 ACM. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in PUBLICATION, SenSys '18 Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, https://dl.acm.org/citation.cfm?doid=3274783.3275189
Source
The 16th ACM Conference on Embedded Networked Sensor Systems (SenSys 2018)
Publication Status
Published
Start Date
2018-11-04
Finish Date
2018-11-07
Coverage Spatial
Shenzhen, Chine