A Cloud Based Disaster Management System
Ref: CISTER-TR-200207 Publication Date: 2020
A Cloud Based Disaster Management System
Ref: CISTER-TR-200207 Publication Date: 2020Abstract:
The combination of wireless sensor networks (WSNs) and 3D virtual environments opens
a new paradigm for their use in natural disaster management applications. It is important to have
a realistic virtual environment based on datasets received from WSNs to prepare a backup rescue
scenario with an acceptable response time. This paper describes a complete cloud-based system
that collects data from wireless sensor nodes deployed in real environments and then builds a 3D
environment in near real-time to reflect the incident detected by sensors (fire, gas leaking, etc.).
The system’s purpose is to be used as a training environment for a rescue team to develop various
rescue plans before they are applied in real emergency situations. The proposed cloud architecture
combines 3D data streaming and sensor data collection to build an efficient network infrastructure
that meets the strict network latency requirements for 3D mobile disaster applications. As compared
to other existing systems, the proposed system is truly complete. First, it collects data from sensor
nodes and then transfers it using an enhanced Routing Protocol for Low-Power and Lossy Networks
(RLP). A 3D modular visualizer with a dynamic game engine was also developed in the cloud for
near-real time 3D rendering. This is an advantage for highly-complex rendering algorithms and
less powerful devices. An Extensible Markup Language (XML) atomic action concept was used
to inject 3D scene modifications into the game engine without stopping or restarting the engine.
Finally, a multi-objective multiple traveling salesman problem (AHP-MTSP) algorithm is proposed
to generate an efficient rescue plan by assigning robots and multiple unmanned aerial vehicles to
disaster target locations, while minimizing a set of predefined objectives that depend on the situation.
The results demonstrate that immediate feedback obtained from the reconstructed 3D environment
can help to investigate what–if scenarios, allowing for the preparation of effective rescue plans with
an appropriate management effort
Document:
Published in Journal of Sensor and Actuator Networks, MDPI, Volume 9, Issue 1, Article No 6, pp 1-23.
DOI:https://doi.org/10.3390/jsan9010006.
ISSN: 2224-2708.
Record Date: 19, Feb, 2020