Low cost monitoring network for smart cities

Abstract

Monitoring networks are pivotal in energy efficiency environment taking into account that the analyses are carried out based on data. Then, the design and deployment monitoring systems, which ensure data quality, are crucial. Nevertheless, sometimes it is difficult due to the constraints, which are even harder in Smart Cities. Mainly, the costs cannot be afforded in this type of project. In order to solve this issue, the present paper proposes a low cost monitoring system, developed under the European project R2CITIES. In this sense, only a set of dwellings are equipped and, thanks to data-mining techniques, the results are extended to the whole district. Sampling, clustering and aggregation are the three selected techniques that are being applied in the district “4 de marzo” in the city of Valladolid.