Abstract
Monitoring is pivotal when talking about Smart Cities or districts. Analysis of performance requires information to evaluate the facilities from several points of view. However, the costs to deploy a full monitoring network are high and nonaffordable in many cases. Hence, the design becomes crucial to reduce the deployment costs and, at the same time, allow monitoring the key parameters. For that purpose, this paper describes the design and deployment of a low-cost IoT monitoring system to collect data in a Smart district. The sensor network has been implemented under the European project R2CITIES whose aim is to develop and demonstrate replicable strategies for designing, constructing and managing large scale district renovation projects. To achieve the objective, data mining techniques like sampling, clustering and aggregation have been applied during the design process, while the deployment has followed an IoT paradigmSix out of 130 dwellings have been selected in the “4 de marzo” district located in the cityof Valladolid, Spain.
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