Task Farming in Crowd Computing

Murray, Derek G.; Nilakant, Karthik; Crowcroft, Jon; Yoneki, Eiko

doi:10.1002/9781118511305.ch13

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…As a type of mobile device, drones are excellent candidates to be used in crowd-computing scenarios due to their versatility [13]- [15]. Existing research on crowd computing [16], [17] has shown that mobile devices can be utilised in a social context to perform large-scale distributed computations, via a static farming method [18].…”

Section: Related Workmentioning

confidence: 99%

Enabling Drone Services: Drone Crowdsourcing and Drone Scripting

2019

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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 crowdpowered drones, involving two key concepts for combining drones and smartphones as a crowd-powered resource cloud. In particular, we focus on crowdsourcing 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. INDEX TERMS Drones, smart drone services, crowdsourcing, crowd computing, drone programming.

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