CollabDrone: A Collaborative Spatiotemporal-aware Drone Sensing System Driven by Social Sensing Signals

Md Tahmid Rashid, Daniel Zhang, Zhiyu Liu, Hai Lin, Dong Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

While autonomous unmanned aerial vehicles (UAVs) have attained a reputable stance in modern disaster response applications, their practical adoptions are impeded due to various constraints (e.g., requiring manual input, battery life). In this paper, we develop a novel spatiotemporal aware drone sensing system that is driven by harnessing social media signals, a process known as social sensing. Social sensing has emerged as a new sensing paradigm where humans act as "sensors" to report their observations about the physical world. However, maneuvering drones with "social signals" introduces a new realm of challenges. The first challenge is to drive the drones by leveraging noisy and unreliable social media signals. The second challenge is to optimize the drone deployment by exploring the highly dynamic and latent correlations among event locations. In this paper, we present CollabDrone that devises a new spatiotemporal correlation inference model and game-theoretic drone dispatching mechanism to address the above challenges. The evaluation results on a real-world case study show that CollabDrone significantly outperforms current drone and social sensing baselines in terms of accuracy and deadline hit rate.

Original languageEnglish (US)
Title of host publicationICCCN 2019 - 28th International Conference on Computer Communications and Networks
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728118567
DOIs
StatePublished - Jul 2019
Externally publishedYes
Event28th International Conference on Computer Communications and Networks, ICCCN 2019 - Valencia, Spain
Duration: Jul 29 2019Aug 1 2019

Publication series

NameProceedings - International Conference on Computer Communications and Networks, ICCCN
Volume2019-July
ISSN (Print)1095-2055

Conference

Conference28th International Conference on Computer Communications and Networks, ICCCN 2019
Country/TerritorySpain
CityValencia
Period7/29/198/1/19

Keywords

  • Disaster response
  • Social sensing
  • Spatial-temporal correlation
  • UAV

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Fingerprint

Dive into the research topics of 'CollabDrone: A Collaborative Spatiotemporal-aware Drone Sensing System Driven by Social Sensing Signals'. Together they form a unique fingerprint.

Cite this