Disaster Management System Aided by Named Data Network of Things: Architecture, Design, and Analysis

Area of Science:

• Computer Science
• Networking
• Internet of Things (IoT)

Background:

• Disasters pose significant threats to infrastructure and human life.
• Existing IP-based IoT systems face challenges in disaster management.
• Named Data Networking (NDN) offers a promising alternative architecture for IoT applications.

Purpose of the Study:

• To propose and evaluate a novel NDN-based architecture for IoT disaster management systems (DMS).
• To specifically address fire disaster scenarios within an IoT smart campus environment.
• To leverage NDN's capabilities for efficient emergency content dissemination.

Main Methods:

• Development of the NDN-DISCA architecture, utilizing NDN's producer-push model.
• Implementation of Beacon Alert Messages (BAM) with fixed sequence numbers for push support.
• Simulation of NDN-DISCA within the ndnSIM framework for an IoT-based smart campus fire disaster scenario.

Main Results:

• NDN-DISCA demonstrated minimal delay in emergency content delivery.
• The proposed architecture achieved improved throughput compared to legacy NDN and existing push schemes.
• Simulation results validated the effectiveness of NDN-DISCA in a simulated disaster environment.

Conclusions:

• NDN-DISCA offers a viable and efficient solution for IoT-based disaster management.
• The NDN architecture, through NDN-DISCA, enhances emergency response capabilities.
• The findings suggest NDN is well-suited for critical IoT applications like disaster management.