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Raihan Ul Islam, Sumeet Thombre, Karl Andersson, Luleå University of Technology Photo: Linda Alfredsson
Raihan Ul Islam, far left, Sumeet Thombre and Karl Andersson at Luleå University of Technology, participate in a project aiming at preventing disasters caused by flooding. Photo: Linda Alfredsson View original picture , opens in new tab/window

Sensors for avoiding disasters

Published: 30 March 2016

Sensor and Communication technology from Luleå University of Technology will help authorities in Bangladesh to predict and prevent disasters caused by flooding.

Bangladesh is situated on the Ganges Delta of Bay of Bengal. Many rivers from upstream are flowing through the country ending into the Bay of Bengal. 80% of Bangladesh is floodplain and has an extensive sea coastline; this makes Bangladesh prone to flooding. Each year in Bangladesh about 26,000 km2 (around 18% of the country) is flooded, killing over 5,000 people and destroying more than seven million homes.

– The aim of the project is to develop a novel integrated Belief Rule-Based (BRB) system for flood risk estimation and analysis under uncertainty. The BRB system will be embedded into a Geographical Information System (GIS) to develop a hybrid decision support system (DSS) to generate, visualize and analyze the likelihood, consequences, risks and response strategies of flooding, Raihan Ul Islam, PhD student of Pervasive and Mobile Computing explains.

A wireless sensor-networking environment

The researchers at Luleå University of Technology will develop an efficient heterogeneous wireless sensor communication architecture allowing for data collection, data delivery, and basic data processing. The system will be fed with data collected using a wireless sensor network consisting of various types of sensors and various types of communication technologies forming a heterogeneous wireless sensor-networking environment.

– For this we will study different wireless sensor network technologies, carry out simulation to evaluate well-known metrics such as scalability, energy efficiency, timeliness, and message overhead and perform real world experiments, says Raihan Ul Islam.

The project Rule-based decision support system for flood risk assessment by wireless sensor networks will last for three years and is financed by the Swedish Research Council.