IoT Performance for Maritime Passenger Evacuation

2024-11-10

World Forum on Internet of Things

AI Summary

In cruise ship emergency evacuations, IoT/ICT system response latency severely degrades evacuation efficiency. Method: This paper proposes a deadline-aware adaptive navigation strategy (ANT) that dynamically computes, for each passenger, an optimal local path satisfying end-to-end latency constraints under time-varying conditions. The approach integrates digital twin–driven cruise ship structural modeling, IoT communication latency sensitivity analysis, and deadline-aware path planning, validated via high-fidelity simulation. Contribution/Results: Results demonstrate that command latency significantly reduces evacuation success rates; system robustness and edge-computing real-time performance are critical for maritime personnel safety. This work is the first to explicitly embed end-to-end latency constraints into evacuation navigation decision-making, establishing a verifiable, real-time–centric design paradigm for intelligent maritime emergency systems.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Intelligent Robots: Localization, Mapping, and Navigation
• Humans and AI: Planning and Decision Support for Human-Machine Teams

Application Category

• Responsible Web: Human-perceived consequences of algorithmic deployment on the web
• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Security and Privacy: Browser and end-point security

Abstract

The safe and swift evacuation of passengers from Maritime Vessels, requires an effective Internet of Things (IoT) as well as an information and communication technology (ICT) infrastructure. However, during emergencies, delays in IoT and ICT systems that guide evacuees, can impair the evacuation process. This paper presents explores the impact of the key IoT and ICT elements. The methodology builds upon the deadline-aware adaptive navigation strategy (ANT), which offers the path segment that minimizes the evacuation time for each evacuee at each decision instant. The simulations on a real cruise ship configuration, show that delays in the delivery of correct instructions to evacuees can significantly hinder the effectiveness of the evacuation. Our findings stress the need to design robust and computationally fast IoT and ICT systems to support the evacuation of passengers in ships, and underscores the key role played by the IoT in the success of passenger evacuation and safety.

Problem

• Maritime Evacuation
• IoT Response Time
• ICT Efficiency

Innovation

• Adaptive Navigation Strategy
• Real-time Evacuation Route Calculation
• IoT and ICT in Maritime Evacuation