{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T12:20:10Z","timestamp":1766578810135,"version":"3.37.3"},"reference-count":60,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2023,5,13]],"date-time":"2023-05-13T00:00:00Z","timestamp":1683936000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,5,13]],"date-time":"2023-05-13T00:00:00Z","timestamp":1683936000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100007082","name":"Universidade Federal de Santa Catarina","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007082","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019866","name":"Federal Institute of Santa Catarina","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100019866","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"DOI":"10.1007\/s42979-023-01826-w","type":"journal-article","created":{"date-parts":[[2023,5,15]],"date-time":"2023-05-15T11:56:36Z","timestamp":1684151796000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Sensor Ranking Approach for Edge\u2013Fog\u2013Cloud Environments"],"prefix":"10.1007","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6647-7624","authenticated-orcid":false,"given":"Felipe S.","family":"Costa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Silvia M.","family":"Nassar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mario A. R.","family":"Dantas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,5,13]]},"reference":[{"key":"1826_CR1","doi-asserted-by":"publisher","unstructured":"Yuen KKF, Wang W. Towards a ranking approach for sensor services using primitive cognitive network process. In: The 4th annual IEEE international conference on cyber technology in automation, control and intelligent, Hong Kong, China: 2014, p. 5. https:\/\/doi.org\/10.1109\/CYBER.2014.6917487.","DOI":"10.1109\/CYBER.2014.6917487"},{"key":"1826_CR2","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1109\/JIOT.2017.2773600","volume":"5","author":"OB Sezer","year":"2018","unstructured":"Sezer OB, Dogdu E, Ozbayoglu AM. Context-aware computing, learning, and big data in internet of things: a survey. IEEE Internet Things J. 2018;5:27. https:\/\/doi.org\/10.1109\/JIOT.2017.2773600.","journal-title":"IEEE Internet Things J"},{"key":"1826_CR3","unstructured":"Turner V. The digital universe of opportunities: rich data and the increasing value of the internet of things 2014. https:\/\/www.emc.com\/leadership\/digital-universe\/2014iview\/executive-summary.htm. Accessed 12 Sept 2018."},{"key":"1826_CR4","doi-asserted-by":"publisher","unstructured":"Bonomi F, Milito R, Zhu J, Addepalli S. Fog computing and its role in the internet of things. In: Proceedings of the first edition of the MCC workshop on mobile cloud computing, Helsinki, Finland: ACM; 2012, p. 13\u20136. https:\/\/doi.org\/10.1145\/2342509.2342513.","DOI":"10.1145\/2342509.2342513"},{"key":"1826_CR5","doi-asserted-by":"crossref","unstructured":"Stojmenovic I, Wen S. The fog computing paradigm: scenarios and security issues. In: Proceedings of the 2014 federated conference on computer science and information systems, Warsaw, Poland: 2014, p. 1\u20138.","DOI":"10.15439\/2014F503"},{"key":"1826_CR6","volume-title":"Multi-sensor data fusion: an introduction","author":"HB Mitchell","year":"2007","unstructured":"Mitchell HB. Multi-sensor data fusion: an introduction. Berlin: Springer; 2007."},{"key":"1826_CR7","doi-asserted-by":"publisher","unstructured":"Costa FS, Nassar SM, Dantas MAR. A three level sensor ranking method based on active perception. In: IECON 2019 - 45th annual conference of the IEEE industrial electronics society, vol. 1, Lisbon, Portugal: IEEE; 2019, p. 2889\u201395. https:\/\/doi.org\/10.1109\/IECON.2019.8927612.","DOI":"10.1109\/IECON.2019.8927612"},{"key":"1826_CR8","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.adhoc.2018.08.011","volume":"81","author":"I Kertiou","year":"2018","unstructured":"Kertiou I, Benharzallah S, Kahloul L, Beggas M, Euler R, Laouid A, et al. A dynamic skyline technique for a context-aware selection of the best sensors in an IoT architecture. Ad Hoc Netw. 2018;81:14. https:\/\/doi.org\/10.1016\/j.adhoc.2018.08.011.","journal-title":"Ad Hoc Netw"},{"key":"1826_CR9","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1109\/COMST.2018.2825231","volume":"20","author":"S Pattar","year":"2018","unstructured":"Pattar S, Buyya R, Venugopal KR, Iyengar SS, Patnaik LM. Searching for the IoT resources: fundamentals, requirements, comprehensive review, and future directions. IEEE Commun Surv Tutor. 2018;20:31. https:\/\/doi.org\/10.1109\/COMST.2018.2825231.","journal-title":"IEEE Commun Surv Tutor"},{"key":"1826_CR10","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1145\/3154525","volume":"51","author":"Y Fathy","year":"2018","unstructured":"Fathy Y, Barnaghi P, Tafazolli R. Large-scale indexing, discovery, and ranking for the internet of things (IoT). ACM Comput Surv. 2018;51:53. https:\/\/doi.org\/10.1145\/3154525.","journal-title":"ACM Comput Surv"},{"key":"1826_CR11","doi-asserted-by":"publisher","unstructured":"Xiao B, Rahmani R, Li Y, Gillblad D, Kanter T. Intelligent data-intensive IoT: a survey. In: Procedings of 2nd IEEE international conference on computer and communications (ICCC), Chengdu, China: 2016, p. 2362\u20138. https:\/\/doi.org\/10.1109\/CompComm.2016.7925122.","DOI":"10.1109\/CompComm.2016.7925122"},{"key":"1826_CR12","unstructured":"NSF. NSF Edge Workshop Report. Washington, DC, USA: NATIONAL SCIENCE FOUNDATION; 2016."},{"key":"1826_CR13","doi-asserted-by":"crossref","unstructured":"Costa F, Nassar S, Dantas M. GoAT: A sensor ranking approach for IoT environments. In: Proceedings of the 11th international conference on cloud computing and services science - CLOSER, Florida, USA: 2021, p. 169\u201377.","DOI":"10.5220\/0010403801690177"},{"key":"1826_CR14","doi-asserted-by":"crossref","unstructured":"Skarmeta AF, Santa J, Mart\u00ednez JA, Parreira JX, Barnaghi P, Enshaeifar S, et al. IoTCrawler: Browsing the internet of things. In: Proceedings of the 2018 global IoT summit (GIoTS), Bilbao, Spain: Institute of Electrical and Electronics Engineers (IEEE); 2018, p. 6.","DOI":"10.1109\/GIOTS.2018.8534528"},{"key":"1826_CR15","doi-asserted-by":"publisher","first-page":"2532","DOI":"10.1109\/JIOT.2018.2871469","volume":"6","author":"N Nesa","year":"2019","unstructured":"Nesa N, Banerjee I. SensorRank: An energy efficient sensor activation algorithm for sensor data fusion in wireless networks. IEEE Internet Things J. 2019;6:2532\u20139. https:\/\/doi.org\/10.1109\/JIOT.2018.2871469.","journal-title":"IEEE Internet Things J"},{"key":"1826_CR16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2923638","author":"R Dautov","year":"2019","unstructured":"Dautov R, Distefano S. Automating IoT data-intensive application allocation in clustered edge computing. IEEE Trans Knowl Data Eng. 2019. https:\/\/doi.org\/10.1109\/TKDE.2019.2923638.","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1826_CR17","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1007\/s12652-018-0732-4","volume":"10","author":"M Ruta","year":"2019","unstructured":"Ruta M, Scioscia F, Pinto A, Gramegna F, Ieva S, Loseto G, et al. CoAP-based collaborative sensor networks in the semantic web of things. J Ambient Intell Hum Comput. 2019;10:18. https:\/\/doi.org\/10.1007\/s12652-018-0732-4.","journal-title":"J Ambient Intell Hum Comput"},{"key":"1826_CR18","doi-asserted-by":"publisher","unstructured":"Kakunsi DC, Candra MZC. SDRank: An Adaptable Service Selection for IoT Based on Ranking. In: IEEE Mataram Indonesia: 2018, p. 6. https:\/\/doi.org\/10.1109\/ICODSE.2018.8705811.","DOI":"10.1109\/ICODSE.2018.8705811"},{"key":"1826_CR19","doi-asserted-by":"publisher","unstructured":"Dilli R, Argou A, Pilla M, Pernas AM, Reiser R, Yamin A. Fuzzy logic and MCDA in IoT resources classification. In: Proceedings of the 33rd annual ACM symposium on applied computing, New York, NY, USA: ACM; 2018, p. 6. https:\/\/doi.org\/10.1145\/3167132.3167216.","DOI":"10.1145\/3167132.3167216"},{"key":"1826_CR20","doi-asserted-by":"publisher","first-page":"14","DOI":"10.14569\/IJACSA.2018.090949","volume":"9","author":"N Hussain","year":"2018","unstructured":"Hussain N, Anees T, Azeem U. Development of a novel approach to search resources in IoT. Int J Adv Comput Sci Appl IJACSA. 2018;9:14. https:\/\/doi.org\/10.14569\/IJACSA.2018.090949.","journal-title":"Int J Adv Comput Sci Appl IJACSA"},{"key":"1826_CR21","doi-asserted-by":"publisher","unstructured":"Nunes LH, Estrella JC, Perera C, Reiff-Marganiec S, Delbem ACB. The elimination-selection based algorithm for efficient resource discovery in Internet of Things environments. In: 2018 15th IEEE annual consumer communications networking conference (CCNC), 2018, p. 7. https:\/\/doi.org\/10.1109\/CCNC.2018.8319280.","DOI":"10.1109\/CCNC.2018.8319280"},{"key":"1826_CR22","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1007\/s11042-015-2830-z","volume":"75","author":"H Kang","year":"2016","unstructured":"Kang H, Kim M, Bae M, Bang H-C, Yoe H. A conceptual device-rank based resource sharing and collaboration of smart things. Multimed Tools Appl. 2016;75:13.","journal-title":"Multimed Tools Appl"},{"key":"1826_CR23","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/LCOMM.2016.2521735","volume":"20","author":"P Zhang","year":"2016","unstructured":"Zhang P, Liu Y, Wu F, Liu S, Tang B. Low-overhead and high-precision prediction model for content-based sensor search in the Internet of Things. IEEE Commun Lett. 2016;20:4. https:\/\/doi.org\/10.1109\/LCOMM.2016.2521735.","journal-title":"IEEE Commun Lett"},{"key":"1826_CR24","doi-asserted-by":"publisher","unstructured":"Saxena S. Vector method for ranking of sensors in IoT. IEEE, vol. 3, Coimbatore, India: 2016, p. 5. https:\/\/doi.org\/10.1109\/INVENTIVE.2016.7830231.","DOI":"10.1109\/INVENTIVE.2016.7830231"},{"key":"1826_CR25","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.ins.2015.05.029","volume":"319","author":"W Wang","year":"2015","unstructured":"Wang W, Yao F, De S, Moessner K, Sun Z. A ranking method for sensor services based on estimation of service access cost. Inf Sci. 2015;319:17. https:\/\/doi.org\/10.1016\/j.ins.2015.05.029.","journal-title":"Inf Sci"},{"key":"1826_CR26","first-page":"15","volume-title":"13th International semantic web conference","author":"L Cabral","year":"2014","unstructured":"Cabral L, Compton M, M\u00fcller H, et al. A use case in semantic modelling and ranking for the sensor web. In: Mika P, Tudorache T, Bernstein A, Welty C, Knoblock C, Vrande\u010di\u0107 D, et al., editors. 13th International semantic web conference. Riva Del Garda, Italy: Springer International Publishing; 2014. p. 15."},{"key":"1826_CR27","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/s10922-012-9259-8","volume":"22","author":"W Niu","year":"2014","unstructured":"Niu W, Lei J, Tong E, Li G, Chang L, Shi Z, et al. Context-aware service ranking in wireless sensor networks. J Netw Syst Manag. 2014;22:25. https:\/\/doi.org\/10.1007\/s10922-012-9259-8.","journal-title":"J Netw Syst Manag"},{"key":"1826_CR28","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1109\/JSEN.2013.2282292","volume":"14","author":"C Perera","year":"2014","unstructured":"Perera C, Zaslavsky A, Liu CH, Compton M, Christen P, Georgakopoulos D. Sensor search techniques for sensing as a service architecture for the Internet of Things. IEEE Sens J. 2014;14:406\u201320. https:\/\/doi.org\/10.1109\/JSEN.2013.2282292.","journal-title":"IEEE Sens J"},{"key":"1826_CR29","doi-asserted-by":"crossref","unstructured":"Truong C, R\u00f6mer K, Chen K. Fuzzy-based sensor search in the Web of Things. IEEE, Wuxi, China: 2012, p. 8.","DOI":"10.1109\/IOT.2012.6402314"},{"key":"1826_CR30","unstructured":"Walters J, \u00d6sterberg P, Kanter T. The MediaSense framework: ranking sensors in a distributed architecture. In: Proceddings of fifth international conference on digital telecommunications, the updated MediaSense Framework, Athens, Greece: IEEE conference proceedings; 2011, p. 5."},{"key":"1826_CR31","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1109\/TPDS.2009.145","volume":"21","author":"H Wang","year":"2010","unstructured":"Wang H, Tan CC, Li Q. Snoogle: a search engine for pervasive environments. IEEE Trans Parallel Distrib Syst. 2010;21:15. https:\/\/doi.org\/10.1109\/TPDS.2009.145.","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"1826_CR32","unstructured":"Elahi BM, Romer K, Ostermaier B, Fahrmair M, Kellerer W. Sensor ranking: a primitive for efficient content-based sensor search. IEEE, San Francisco, CA, USA: 2009, p. 12."},{"key":"1826_CR33","unstructured":"Intel Lab Data n.d. http:\/\/db.csail.mit.edu\/labdata\/labdata.html. Accessed 20 Dec 2018."},{"key":"1826_CR34","doi-asserted-by":"crossref","unstructured":"Chen T, Guestrin C. XGBoost: A scalable tree boosting system. In: Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining - KDD \u201916, San Francisco, California, USA: ACM Press; 2016, p. 785\u201394.","DOI":"10.1145\/2939672.2939785"},{"key":"1826_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cmpb.2019.02.005","volume":"171","author":"H Shi","year":"2019","unstructured":"Shi H, Wang H, Huang Y, Zhao L, Qin C, Liu C. A hierarchical method based on weighted extreme gradient boosting in ECG heartbeat classification. Comput Methods Programs Biomed. 2019;171:1\u201310. https:\/\/doi.org\/10.1016\/j.cmpb.2019.02.005.","journal-title":"Comput Methods Programs Biomed"},{"key":"1826_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1541880.1541882","volume":"41","author":"V Chandola","year":"2009","unstructured":"Chandola V, Banerjee A, Kumar V. Anomaly detection: a survey. ACM Comput Surv. 2009;41:1\u201358. https:\/\/doi.org\/10.1145\/1541880.1541882.","journal-title":"ACM Comput Surv"},{"key":"1826_CR37","doi-asserted-by":"publisher","first-page":"1382","DOI":"10.1016\/j.jprocont.2014.06.007","volume":"24","author":"IM Cec\u00edlio","year":"2014","unstructured":"Cec\u00edlio IM, Ottewill JR, Pretlove J, Thornhill NF. Nearest neighbors method for detecting transient disturbances in process and electromechanical systems. J Process Control. 2014;24:1382\u201393.","journal-title":"J Process Control"},{"key":"1826_CR38","volume-title":"Data mining: practical machine learning tools and techniques","author":"IH Witten","year":"2011","unstructured":"Witten IH, Frank E, Hall MA. Data mining: practical machine learning tools and techniques. 3rd ed. Burlington: Morgan Kaufmann; 2011.","edition":"3"},{"key":"1826_CR39","volume-title":"Estat\u00edstica Para Cursos De Engenharia E Inform\u00e1tica","author":"PA Barbetta","year":"2010","unstructured":"Barbetta PA, Bornia AC, Reis MM. Estat\u00edstica Para Cursos De Engenharia E Inform\u00e1tica. 3rd ed. S\u00e3o Paulo: Atlas; 2010.","edition":"3"},{"key":"1826_CR40","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"LA Zadeh","year":"1965","unstructured":"Zadeh LA. Fuzzy sets. Inf Control. 1965;8:338\u201353. https:\/\/doi.org\/10.1016\/S0019-9958(65)90241-X.","journal-title":"Inf Control"},{"key":"1826_CR41","unstructured":"Buchholz T, Schiffers M. Quality of context: what it is and why we need it. In: Proceedings of the 10th workshop of the OpenView University Association: OVUA\u201903, 2003."},{"key":"1826_CR42","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1017\/S0269888914000034","volume":"29","author":"A Manzoor","year":"2014","unstructured":"Manzoor A, Truong H-L, Dustdar S. Quality of context: models and applications for context-aware systems in pervasive environments. Knowl Eng Rev. 2014;29:16. https:\/\/doi.org\/10.1017\/S0269888914000034.","journal-title":"Knowl Eng Rev"},{"key":"1826_CR43","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1109\/SURV.2013.042313.00197","volume":"16","author":"C Perera","year":"2014","unstructured":"Perera C, Zaslavsky A, Christen P, Georgakopoulos D. Context aware computing for the internet of things: a survey. IEEE Commun Surv Tutor. 2014;16:40. https:\/\/doi.org\/10.1109\/SURV.2013.042313.00197.","journal-title":"IEEE Commun Surv Tutor"},{"key":"1826_CR44","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1504\/IJCNDS.2016.077938","volume":"17","author":"S Cherbal","year":"2016","unstructured":"Cherbal S, Boukerram A, Boubetra A. A survey of DHT solutions in fixed and mobile networks. IJCNDS. 2016;17:14. https:\/\/doi.org\/10.1504\/IJCNDS.2016.077938.","journal-title":"IJCNDS"},{"key":"1826_CR45","unstructured":"Apache Foundation. Apache Cassandra Project n.d. http:\/\/cassandra.apache.org\/. Accessed 21 Sept 2020."},{"key":"1826_CR46","doi-asserted-by":"publisher","unstructured":"Stoica I, Morris R, Karger D, Kaashoek MF, Balakrishnan H. Chord: A scalable peer-to-peer lookup service for internet applications. In: Proceedings of the 2001 conference on applications, technologies, architectures, and protocols for computer communications - SIGCOMM \u201901, vol. 31, New York, NY, USA: ACM Press; 2001, p. 149\u201360. https:\/\/doi.org\/10.1145\/383059.383071.","DOI":"10.1145\/383059.383071"},{"key":"1826_CR47","doi-asserted-by":"crossref","unstructured":"Hofmann A, Robertson P. Active perception: improving perception robustness by reasoning about context. vol. 2, 2015, p. 9.","DOI":"10.5220\/0005298103280336"},{"key":"1826_CR48","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1109\/5.5968","volume":"76","author":"R Bajcsy","year":"1988","unstructured":"Bajcsy R. Active perception. Proc IEEE. 1988;76:10. https:\/\/doi.org\/10.1109\/5.5968.","journal-title":"Proc IEEE"},{"key":"1826_CR49","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/5289.887457","volume":"3","author":"L Biel","year":"2000","unstructured":"Biel L, Wide P. Active perception for autonomous sensor systems. IMM. 2000;3:4. https:\/\/doi.org\/10.1109\/5289.887457.","journal-title":"IMM"},{"key":"1826_CR50","unstructured":"Schiffman HR. Sensation and Perception: An Integrated Approach. Sensation and Perception: An Integrated Approach. Edi\u00e7\u00e3o: 5th, New York: John Wiley & Sons; 2001, p. 12."},{"key":"1826_CR51","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84878-5","volume-title":"Robust power system frequency control","author":"H Bevrani","year":"2009","unstructured":"Bevrani H. Robust power system frequency control. New York: Springer; 2009."},{"key":"1826_CR52","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1109\/TCST.2004.839570","volume":"13","author":"NF Thornhill","year":"2005","unstructured":"Thornhill NF. Finding the source of nonlinearity in a process with plant-wide oscillation. IEEE Trans Control Syst Technol. 2005;13:434\u201343.","journal-title":"IEEE Trans Control Syst Technol"},{"key":"1826_CR53","doi-asserted-by":"publisher","unstructured":"Bringel Filho J, Agoulmine N. A quality-aware approach for resolving context conflicts in context-aware systems. In: 9th international conference on embedded and ubiquitous computing, Melbourne, VIC, Australia: 2011, p. 229\u201336. https:\/\/doi.org\/10.1109\/EUC.2011.9.","DOI":"10.1109\/EUC.2011.9"},{"key":"1826_CR54","doi-asserted-by":"publisher","first-page":"5499","DOI":"10.3390\/s20195499","volume":"20","author":"FS Costa","year":"2020","unstructured":"Costa FS, Nassar SM, Gusmeroli S, Schultz R, Concei\u00e7\u00e3o AGS, Xavier M, et al. FASTEN IIoT: an open real-time platform for vertical, horizontal and end-to-end integration. Sensors. 2020;20:5499.","journal-title":"Sensors"},{"key":"1826_CR55","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/MIE.2014.2312079","volume":"8","author":"R Drath","year":"2014","unstructured":"Drath R, Horch A. Industrie 4.0: hit or hype? [industry forum]. IEEE Ind Electron Mag. 2014;8:56\u20138. https:\/\/doi.org\/10.1109\/MIE.2014.2312079.","journal-title":"IEEE Ind Electron Mag"},{"key":"1826_CR56","unstructured":"Octavo LA. VerneMQ - A MQTT broker that is scalable, enterprise ready, and open source 2019. https:\/\/vernemq.com\/. Accessed 1 Aug 2019."},{"key":"1826_CR57","doi-asserted-by":"crossref","unstructured":"Apache. Apache Kafka. Apache Kafka 2019. https:\/\/kafka.apache.org\/. Accessed 1 Aug 2019.","DOI":"10.1007\/978-3-319-63962-8_196-1"},{"key":"1826_CR58","first-page":"172","volume":"10","author":"NM Zamry","year":"2018","unstructured":"Zamry NM, Zainal A, Rassam M. Unsupervised anomaly detection for unlabelled wireless sensor networks data. Int J Adv Soft Comput Its Appl. 2018;10:172\u201391.","journal-title":"Int J Adv Soft Comput Its Appl"},{"key":"1826_CR59","unstructured":"NOAA n.d. https:\/\/tidesandcurrents.noaa.gov\/gmap3\/. Accessed 20 Dec 2018."},{"key":"1826_CR60","doi-asserted-by":"publisher","first-page":"17:1","DOI":"10.1145\/1689239.1689247","volume":"6","author":"F Ingelrest","year":"2010","unstructured":"Ingelrest F, Barrenetxea G, Schaefer G, Vetterli M, Couach O, Parlange M. SensorScope: Application-specific sensor network for environmental monitoring. ACM Trans Sen Netw. 2010;6:17:1-17:32.","journal-title":"ACM Trans Sen Netw"}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-023-01826-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-023-01826-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-023-01826-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,17]],"date-time":"2023-06-17T15:21:05Z","timestamp":1687015265000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-023-01826-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,13]]},"references-count":60,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2023,7]]}},"alternative-id":["1826"],"URL":"https:\/\/doi.org\/10.1007\/s42979-023-01826-w","relation":{},"ISSN":["2661-8907"],"issn-type":[{"type":"electronic","value":"2661-8907"}],"subject":[],"published":{"date-parts":[[2023,5,13]]},"assertion":[{"value":"27 September 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 April 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 May 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}],"article-number":"392"}}