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|Title:||Security-oriented sensor placement in intelligent buildings||Authors:||Eliades, Demetrios G.
Michaelides, Michalis P.
Panayiotou, Christos G.
Polycarpou, Marios M.
|Keywords:||Indoor air quality;Intelligent buildings;Multi-objective optimization;Sensor placement||Category:||Civil Engineering||Field:||Engineering and Technology||Issue Date:||1-May-2013||Publisher:||Elsevier BV||Source:||Building and Environment, 2013, Volume 63, Pages 114-121||metadata.dc.doi:||http://dx.doi.org/10.1016/j.buildenv.2013.02.006||Abstract:||Intelligent buildings are beginning to utilize sensor networks for monitoring and protecting indoor air quality against contamination events. This paper presents a methodology for determining where to install such sensors. In particular, a multi-objective optimization problem is formulated for minimizing the sensor cost, the average and the worst-case impact damage corresponding to a set of contamination event scenarios. Each contamination scenario is comprised of parameters characterized by some given probability distribution. Based on these distributions, a set of representative contamination scenarios is constructed through grid and random sampling, and the overall impact of each scenario is computed, thus providing a solution to the sensor placement problem. The proposed methodology is illustrated by two case studies, a simple building with five rooms and a realistic building with 14 rooms.||URI:||http://ktisis.cut.ac.cy/handle/10488/9876||ISSN:||03601323||Rights:||© 2013 Elsevier Ltd.||Type:||Article|
|Appears in Collections:||Άρθρα/Articles|
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