{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:50:40Z","timestamp":1760241040591,"version":"build-2065373602"},"reference-count":5,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2019,11,14]],"date-time":"2019-11-14T00:00:00Z","timestamp":1573689600000},"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>The use of sensing devices to perform monitoring tasks has continuously evolved in the past decades [...]<\/jats:p>","DOI":"10.3390\/s19224960","type":"journal-article","created":{"date-parts":[[2019,11,14]],"date-time":"2019-11-14T10:56:34Z","timestamp":1573728994000},"page":"4960","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Visual Sensor Networks and Related Applications"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3988-8476","authenticated-orcid":false,"given":"Daniel G.","family":"Costa","sequence":"first","affiliation":[{"name":"Department of Technology, State University of Feira de Santana, Feira de Santana 44036-900, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3115-0901","authenticated-orcid":false,"given":"Francisco","family":"Vasques","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0207-9966","authenticated-orcid":false,"given":"Mario","family":"Collotta","sequence":"additional","affiliation":[{"name":"Faculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2019,11,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Ebrahim, M., Chia, W.C., Adil, S.H., and Raza, K. (2019). Block Compressive Sensing (BCS) Based Low Complexity, Energy Efficient Visual Sensor Platform with Joint Multi-Phase Decoder (JMD). Sensors, 19.","DOI":"10.3390\/s19102309"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Khan, N., and Martini, M.G. (2019). Bandwidth Modeling of Silicon Retinas for Next Generation Visual Sensor Networks. Sensors, 19.","DOI":"10.3390\/s19081751"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Li, S., Kim, J.G., Han, D.H., and Lee, K.S. (2019). A Survey of Energy-Efficient Communication Protocols with QoS Guarantees in Wireless Multimedia Sensor Networks. Sensors, 19.","DOI":"10.3390\/s19010199"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Yu, B., Zhang, X., Palmieri, F., Creignou, E., and You, I. (2019). A Deep Learning Approach for Maximum Activity Links in D2D Communications. Sensors, 19.","DOI":"10.3390\/s19132941"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Wei, W., Wu, H., and Ma, H. (2019). An AutoEncoder and LSTM-Based Traffic Flow Prediction Method. Sensors, 19.","DOI":"10.3390\/s19132946"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/19\/22\/4960\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:34:21Z","timestamp":1760189661000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/19\/22\/4960"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,14]]},"references-count":5,"journal-issue":{"issue":"22","published-online":{"date-parts":[[2019,11]]}},"alternative-id":["s19224960"],"URL":"https:\/\/doi.org\/10.3390\/s19224960","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2019,11,14]]}}}