Harmonized All-Ways Security Surveillance and Disaster Prevention in Smart Eco-Cities

Hyunbum Kim, Jalel Ben-Othman, Daeyoung Kim

Research output: Contribution to journalArticlepeer-review

Abstract

The recent study on security surveillance is expanding into numerous research branches and applicable industrial areas for smart devices, mobile robots, drones, autonomous vehicles, internet of things components with a consideration of energy-efficient requirements and environmental features. Also, it is highly necessary to proceed the study of how to build and manage disaster prevention system in complex regions according to eco-friendly services and reliable constructions of relevant infrastructures with communications. In this paper, we introduce a harmonized all-ways security surveillance and disaster prevention system in eco-cities that supports mixed groups of high performance devices with high capability and low performance components with limited resource. The proposed framework provides all-ways surveillance by vertical, horizontal, reinforced crossing shaped formations. With a formal representation, the main research problem of maximizing the extended line for all-ways mixture surveillance and disaster prevention detection is defined with integer linear programming formulation. To resolve the research problem, we devise novel algorithms with initialization as well as demonstrate their performances based on numerical outcomes through various simulations.

Original languageEnglish
Pages (from-to)1
Number of pages1
JournalIEEE Internet of Things Journal
DOIs
StateAccepted/In press - 2023

Keywords

  • Artificial intelligence
  • communications
  • disaster prevention
  • Green products
  • harmonized
  • Internet of Things
  • Mobile robots
  • Performance evaluation
  • Security
  • smart
  • surveillance
  • Surveillance

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