To Smart City: Public Safety Network Design for Emergency

Shuo Wan, Jiaxun Lu, Pingyi Fan, Khaled Letaief

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

In smart cities, there are always unpredicted emergencies, which must be handled to maintain the regular order. Then a smart system is needed to detect threats and deal with them. In this paper, we propose a system structure composed of a central agent and three layers: unmanned aerial vehicle (UAV) layer, multi-robot layer and sensor network layer. The UAVs act as moving sensors and conveyors in the air. They provide the overall rough monitoring data from the air and transport robots to the emergency occurring places. The robots on the ground are responsible for obtaining detailed monitoring data and dealing with the emergencies. The sensor networks keep monitoring the environment and assist robots and UAVs in the range to complete their tasks. The central agent can adjust the system according to the specific task requirements. We provide a general system design and review main required technologies, highlighting the challenges and some possible solutions. The future researching directions are presented to guide the system design.

Original languageEnglish
Pages (from-to)1451-1460
Number of pages10
JournalIEEE Access
Volume6
DOIs
Publication statusPublished - 30 Nov 2017
Externally publishedYes

Fingerprint

Unmanned aerial vehicles (UAV)
Robots
Sensor networks
Monitoring
Systems analysis
Conveyors
Network layers
Air
Smart city
Sensors

Keywords

  • distributed sensors
  • emergency
  • multi-robot system
  • smart city
  • UAV

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

Cite this

To Smart City : Public Safety Network Design for Emergency. / Wan, Shuo; Lu, Jiaxun; Fan, Pingyi; Letaief, Khaled.

In: IEEE Access, Vol. 6, 30.11.2017, p. 1451-1460.

Research output: Contribution to journalArticle

Wan, Shuo ; Lu, Jiaxun ; Fan, Pingyi ; Letaief, Khaled. / To Smart City : Public Safety Network Design for Emergency. In: IEEE Access. 2017 ; Vol. 6. pp. 1451-1460.
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