Enabling drone services: drone crowdsourcing and drone scripting

Alwateer, Majed, Loke, Seng W. and Fernando, Niroshinie 2019, Enabling drone services: drone crowdsourcing and drone scripting, IEEE access, vol. 7, pp. 110035-110049, doi: 10.1109/ACCESS.2019.2933234.

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Title Enabling drone services: drone crowdsourcing and drone scripting
Author(s) Alwateer, Majed
Loke, Seng W.ORCID iD for Loke, Seng W. orcid.org/0000-0001-9568-5230
Fernando, Niroshinie
Journal name IEEE access
Volume number 7
Start page 110035
End page 110049
Total pages 15
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Place of publication Piscataway, N.J.
Publication date 2019
ISSN 2169-3536
Keyword(s) Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Drones
smart drone services
crowdsourcing
crowd computing
drone programming
Summary Drones are rapidly finding their way into civilian applications, and are mostly networked, enabling their remote programming, and connectivity with humans. However, drones are limited by the weight they can carry and battery power resulting in limited resources. Moreover, some applications require utilising multiple drones to act in coordination. The combination of utilising nearby devices (i.e. with additional resources beyond the drone capability) and controlling multiple drones in a more convenient way has the potential to overcome these limitations. This paper proposes and examines programmable crowd-powered drones, involving two key concepts for combining drones and smartphones as a crowd-powered resource cloud. In particular, we focus on crowd-sourcing for drone computations, and multi-drone service management using a new scripting language for coordinated flight paths of multiple drones. We describe our underlying model and experimentation with these concepts. We then extensively discuss the prospect of drones servicing communities within IoT ecosystems, as a future direction.
Language eng
DOI 10.1109/ACCESS.2019.2933234
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30129658

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