A Distributed Multi-Tier Emergency Alerting System Exploiting Sensors-Based Event Detection to Support Smart City...

Area of Science:

• Computer Science
• Electrical Engineering
• Urban Planning

Background:

• The Internet of Things (IoT) has enabled numerous sensor-based monitoring applications for environmental perception and emergency detection.
• Existing IoT emergency systems for smart cities are limited by single-variable monitoring and high computational demands on sensor nodes.

Purpose of the Study:

• To propose a distributed, multi-tier emergency alerting system for smart cities.
• To address the limitations of current IoT-based emergency systems by incorporating multiple data inputs and reducing computational burden.

Main Methods:

• Developed a distributed multi-tier system with sensor-based event detection units.
• Integrated configurable scalar sensors and GPS data for real-time, georeferenced event information.
• Computed emergency alarms based on detected events, area risk levels, and temporal data.
• Implemented the system on open-source electronic platforms and created a real-time map visualization application.

Main Results:

• The system provides modular and flexible perceptions of critical events tailored to smart city scenarios.
• Demonstrated a feasible and useful application as a supporting service for smart cities.
• Achieved real-time georeferenced information and dynamic display of emergency alarms on a map.

Conclusions:

• The proposed system offers an innovative approach to enhance smart city emergency preparedness.
• It supports the development of adaptive, IoT-based emergency-aware applications.
• This implementation can yield valuable results for improving urban safety and response.