{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T01:31:39Z","timestamp":1770514299105,"version":"3.49.0"},"reference-count":22,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2017,5,31]],"date-time":"2017-05-31T00:00:00Z","timestamp":1496188800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Despite the increasing presence of wireless communications in everyday life, there exist some voices raising concerns about their adverse effects. One particularly relevant example is the potential impact of the electromagnetic field they induce on the population\u2019s health. Traditionally, very specialized methods and devices (dosimetry) have been used to assess the strength of the E-field, with the main objective of checking whether it respects the corresponding regulations. In this paper, we propose a complete novel approach, which exploits the functionality leveraged by a smart city platform. We deploy a number of measuring probes, integrated as sensing devices, to carry out a characterization embracing large areas, as well as long periods of time. This unique platform has been active for more than one year, generating a vast amount of information. We process such information, and the obtained results validate the whole methodology. In addition, we discuss the variation of the E-field caused by cellular networks, considering additional information, such as usage statistics. Finally, we establish the exposure that can be attributed to the base stations within the scenario under analysis.<\/jats:p>","DOI":"10.3390\/s17061250","type":"journal-article","created":{"date-parts":[[2017,5,31]],"date-time":"2017-05-31T10:41:04Z","timestamp":1496227264000},"page":"1250","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Electromagnetic Field Assessment as a Smart City Service: The SmartSantander Use-Case"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5817-3308","authenticated-orcid":false,"given":"Luis","family":"Diez","sequence":"first","affiliation":[{"name":"Engineering Communications Department, University of Cantabria, Santander 39005, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9620-3990","authenticated-orcid":false,"given":"Ram\u00f3n","family":"Ag\u00fcero","sequence":"additional","affiliation":[{"name":"Engineering Communications Department, University of Cantabria, Santander 39005, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luis","family":"Mu\u00f1oz","sequence":"additional","affiliation":[{"name":"Engineering Communications Department, University of Cantabria, Santander 39005, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,5,31]]},"reference":[{"key":"ref_1","unstructured":"CISCO (2017, May 26). 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