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 language | English |
|---|---|
| Pages (from-to) | 1 |
| Number of pages | 1 |
| Journal | IEEE Internet of Things Journal |
| DOIs | |
| State | Accepted/In press - 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 13 Climate Action
Keywords
- Artificial intelligence
- Green products
- Internet of Things
- Mobile robots
- Performance evaluation
- Security
- Surveillance
- communications
- disaster prevention
- harmonized
- smart
- surveillance
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