Ontology-based collaborative framework for disaster recovery scenarios

TL;DR

This paper presents an ontology-based adaptive framework that enables dynamic, reliable collaboration among diverse actors like firemen and robots during disaster recovery, ensuring continuous operation despite environmental and mission changes.

Contribution

It introduces a multi-level semantic modeling approach with rule-based reconfiguration policies for dynamic adaptation in disaster recovery scenarios.

Findings

Framework supports real-time collaboration between firemen and robots.

Ensures reliable communication despite environmental disruptions.

Adapts to changing mission requirements automatically.

Abstract

This paper aims at designing of adaptive framework for supporting collaborative work of different actors in public safety and disaster recovery missions. In such scenarios, firemen and robots interact to each other to reach a common goal; firemen team is equipped with smart devices and robots team is supplied with communication technologies, and should carry on specific tasks. Here, reliable connection is mandatory to ensure the interaction between actors. But wireless access network and communication resources are vulnerable in the event of a sudden unexpected change in the environment. Also, the continuous change in the mission requirements such as inclusion/exclusion of new actor, changing the actor's priority and the limitations of smart devices need to be monitored. To perform dynamically in such case, the presented framework is based on a generic multi-level modeling approach that ensures adaptation handled by semantic modeling. Automated self-configuration is driven by rule-based reconfiguration policies through ontology.