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Modeling studies for the detection ofbacteria in Biosensor Water Distribution Networks
KTH, School of Electrical Engineering (EES), Automatic Control.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The detection of bacteria in the water is a slow process that requires the use of expensive equipment and qualied personnel. However, real time fast detection is essential in water distribution networks. In this thesis we study the deployment of a wireless network of biosensors in a water distribution system, in order to detect contamination of a particular kind of harmful bacteria, the E.coli. This network will e-ciently utilize the interconnected biosensors and achieve real time and in-eld detection of the bacteria. Because of the non existence of biosensors hardware equipped with radio receivers and transmitters, we study theoretically the modeling of such a system and its potential application in real water distribution networks. The main goal of our study is to nd an optimal sensor placement strategy to maximize the probability of detection, having a xed number of sensors that must be placed in a connected topology. We propose a simple algorithm that solves the optimal sensor placement problem. The performance of the proposed approach have been evaluated by considering three dierent topologies simulated by the system simulator EPANET. The simulation results show that the proposed algorithm provides the higher detection probability in the network compared to other solutions, such as random sensor placement.

Place, publisher, year, edition, pages
2012. , 66 p.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-107400OAI: diva2:575799
Available from: 2012-12-13 Created: 2012-12-11 Last updated: 2012-12-13Bibliographically approved

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XR-EE-RT_2012-031_Antonio Bertoldi(1400 kB)646 downloads
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Electrical Engineering, Electronic Engineering, Information Engineering

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