Heterogeneous Social Sensing Edge Computing System for Deep Learning Based Disaster Response: Demo Abstract

Daniel Yue Zhang, Dong Wang

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

Abstract

Social sensing has emerged as a new application paradigm where measurements about the physical world are collected from humans or devices on their behalf. One of the representative application of social sensing is disaster damage assessment (DDA) that automatically identifies damage severity of impacted areas from imagery reports reported by eyewitness in the aftermath of a disaster (e.g., earthquake, hurricane, landslides). In this demo, we present a Social Sensing based Edge Computing system (SSEC) that can coordinate the privately owned IoT devices in close proximity of the disaster scene to collect, process and report the real-time status of the disaster. We showcase a supply chain-based resource management framework for SSEC that tames the pronounced run-time and hardware heterogeneity of the IoT devices at the edge to provide reliable sensing and computing power. The system is demonstrated on a real-world hardware platform consists of a diverse set of heterogeneous embedded systems.

Original languageEnglish (US)
Title of host publicationIoTDI 2019 - Proceedings of the 2019 Internet of Things Design and Implementation
EditorsGowri Sankar Ramachandran, Jorge Ortiz
PublisherAssociation for Computing Machinery
Pages269-270
Number of pages2
ISBN (Electronic)9781450362832
DOIs
StatePublished - Apr 15 2019
Externally publishedYes
Event4th ACM/IEEE International Conference on Internet of Things Design and Implementation, IoTDI 2019 - Montreal, Canada
Duration: Apr 15 2019Apr 18 2019

Publication series

NameIoTDI 2019 - Proceedings of the 2019 Internet of Things Design and Implementation

Conference

Conference4th ACM/IEEE International Conference on Internet of Things Design and Implementation, IoTDI 2019
Country/TerritoryCanada
CityMontreal
Period4/15/194/18/19

Keywords

  • disaster damage assessment
  • disaster response
  • edge computing
  • resource management
  • social sensing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

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