{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T17:15:01Z","timestamp":1778346901681,"version":"3.51.4"},"reference-count":60,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2018,2,26]],"date-time":"2018-02-26T00:00:00Z","timestamp":1519603200000},"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>Virtual sensors provisioning is a central issue for sensors cloud middleware since it is responsible for selecting physical nodes, usually from Wireless Sensor Networks (WSN) of different owners, to handle user\u2019s queries or applications. Recent works perform provisioning by clustering sensor nodes based on the correlation measurements and then selecting as few nodes as possible to preserve WSN energy. However, such works consider only homogeneous nodes (same set of sensors). Therefore, those works are not entirely appropriate for sensor clouds, which in most cases comprises heterogeneous sensor nodes. In this paper, we propose ACxSIMv2, an approach to enhance the provisioning task by considering heterogeneous environments. Two main algorithms form ACxSIMv2. The first one, ACASIMv1, creates multi-dimensional clusters of sensor nodes, taking into account the measurements correlations instead of the physical distance between nodes like most works on literature. Then, the second algorithm, ACOSIMv2, based on an Ant Colony Optimization system, selects an optimal set of sensors nodes from to respond user\u2019s queries while attending all parameters and preserving the overall energy consumption. Results from initial experiments show that the approach reduces significantly the sensor cloud energy consumption compared to traditional works, providing a solution to be considered in sensor cloud scenarios.<\/jats:p>","DOI":"10.3390\/s18030689","type":"journal-article","created":{"date-parts":[[2018,2,27]],"date-time":"2018-02-27T04:20:47Z","timestamp":1519705247000},"page":"689","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["An Energy-Efficient Approach to Enhance Virtual Sensors Provisioning in Sensor Clouds Environments"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8721-8226","authenticated-orcid":false,"given":"Marcus","family":"Lemos","sequence":"first","affiliation":[{"name":"Computer Science Department, State University of Piaui, Rua Joao Cabral, 2231-Piraja, 64002-150 Teresina, Piaui, Brazil"},{"name":"Graduate Program in Applied Informatics (PPGIA), University of Fortaleza, Av. Washington Soares, 1321-Edson Queiroz, 60811-905 Fortaleza, Cear\u00e1, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Raimir","family":"Filho","sequence":"additional","affiliation":[{"name":"Graduate Program in Applied Informatics (PPGIA), University of Fortaleza, Av. Washington Soares, 1321-Edson Queiroz, 60811-905 Fortaleza, Cear\u00e1, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1482-6404","authenticated-orcid":false,"given":"Ricardo","family":"Rab\u00ealo","sequence":"additional","affiliation":[{"name":"Graduate Program in Compupter Science (PPGCC), Federal University of Piaui, Ministro Petronio Portela Campus, 64049-550 Teresina, Piaui, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carlos","family":"De Carvalho","sequence":"additional","affiliation":[{"name":"Computer Science Department, State University of Piaui, Rua Joao Cabral, 2231-Piraja, 64002-150 Teresina, Piaui, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Douglas","family":"Mendes","sequence":"additional","affiliation":[{"name":"Graduate Program in Compupter Science (PPGCC), Federal University of Piaui, Ministro Petronio Portela Campus, 64049-550 Teresina, Piaui, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Valney","family":"Costa","sequence":"additional","affiliation":[{"name":"Computer Science Department, State University of Piaui, Rua Joao Cabral, 2231-Piraja, 64002-150 Teresina, Piaui, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,2,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2181","DOI":"10.3390\/s150102181","article-title":"An Activity Recognition Model Using Inertial Sensor Nodes in a Wireless Sensor Network for Frozen Shoulder Rehabilitation Exercises","volume":"15","author":"Lin","year":"2015","journal-title":"Sensors"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1787","DOI":"10.3390\/s130201787","article-title":"Combining Wireless Sensor Networks and Semantic Middleware for an Internet of Things-Based Sportsman\/Woman Monitoring Application","volume":"13","author":"Castillejo","year":"2013","journal-title":"Sensors"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Bushnag, A., Abuzneid, A., and Mahmood, A. (2016). Source Anonymity in WSNs against Global Adversary Utilizing Low Transmission Rates with Delay Constraints. Sensors, 16.","DOI":"10.3390\/s16070957"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Shim, J., and Lim, Y. (2016). WSN-Based Height Estimation of Moving Object in Surveillance Systems. Mob. Inf. Syst., 2016.","DOI":"10.1155\/2016\/2127593"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.jnca.2015.11.001","article-title":"A Fully-decentralized Semantic Mechanism for Autonomous Wireless Sensor Nodes","volume":"61","author":"Rocha","year":"2016","journal-title":"J. Netw. Comput. Appl."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"336","DOI":"10.3390\/jsan4040336","article-title":"Critical Infrastructure Surveillance Using Secure Wireless Sensor Networks","volume":"4","author":"Niedermeier","year":"2015","journal-title":"J. Sens. Actuator Netw."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Wang, J., Niu, X., Zheng, L., Zheng, C., and Wang, Y. (2016). Wireless Mid-Infrared Spectroscopy Sensor Network for Automatic Carbon Dioxide Fertilization in a Greenhouse Environment. Sensors, 16.","DOI":"10.3390\/s16111941"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/j.compag.2016.05.013","article-title":"Application of wireless sensor networks for beehive monitoring and in-hive thermal patterns detection","volume":"127","author":"Kridi","year":"2016","journal-title":"Comput. Electron. Agric."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"31392","DOI":"10.3390\/s151229859","article-title":"A Survey of Wireless Sensor Network Based Air Pollution Monitoring Systems","volume":"15","author":"Yi","year":"2015","journal-title":"Sensors"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"29273","DOI":"10.3390\/s151129273","article-title":"A Wireless Sensor Network-Based Approach with Decision Support for Monitoring Lake Water Quality","volume":"15","author":"Huang","year":"2015","journal-title":"Sensors"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"17572","DOI":"10.3390\/s150717572","article-title":"Wireless Sensor Network Optimization: Multi-Objective Paradigm","volume":"15","author":"Iqbal","year":"2015","journal-title":"Sensors"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2292","DOI":"10.1016\/j.comnet.2008.04.002","article-title":"Wireless Sensor Network Survey","volume":"52","author":"Yick","year":"2008","journal-title":"Comput. Netw."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2172","DOI":"10.1109\/JIOT.2017.2755980","article-title":"Performance Analysis of Routing Protocol for Low Power and Lossy Networks (RPL) in Large Scale Networks","volume":"4","author":"Liu","year":"2017","journal-title":"IEEE Internet Things J."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1145\/1721654.1721672","article-title":"A View of Cloud Computing","volume":"53","author":"Armbrust","year":"2010","journal-title":"Commun. ACM"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1109\/MS.2013.141","article-title":"Sensor Cloud: A Cloud of Virtual Sensors","volume":"31","author":"Madria","year":"2014","journal-title":"IEEE Softw."},{"key":"ref_16","first-page":"1","article-title":"A Survey on Sensor-Cloud: Architecture, Applications, and Approaches","volume":"2013","author":"Alamri","year":"2013","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1109\/JIOT.2014.2318835","article-title":"The Cluster Between Internet of Things and Social Networks: Review and Research Challenges","volume":"1","author":"Ortiz","year":"2014","journal-title":"IEEE Internet Things J."},{"key":"ref_18","first-page":"100","article-title":"Analysis and Architecture for a Generic Cloud-based Sensor Data Management Platform","volume":"185","author":"Emeakaroha","year":"2015","journal-title":"Sens. Transducers J."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"5046","DOI":"10.1109\/JSEN.2016.2546839","article-title":"VSF: An Energy-Efficient Sensing Framework Using Virtual Sensors","volume":"16","author":"Sarkar","year":"2016","journal-title":"IEEE Sens. J."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Lemos, M., Carvalho, C., Lopes, D., Rabelo, R., and Holanda Filho, R. (2017, January 27\u201329). Reducing Energy Consumption in Provisioning of Virtual Sensors by Similarity of Heterogenous Sensors. Proceedings of the 31st International Conference on Advanced Information Networking and Applications, Taipei, Taiwan.","DOI":"10.1109\/AINA.2017.71"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Lemos, M., Carvalho, C., Lopes, D., Rabelo, R., and Holanda Filho, R. (2017, January 5\u20138). An Algorithm Based On Ant Colony Optimization for Provisioning Virtual Sensor in Sensor Cloud. Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, AB, Canada.","DOI":"10.1109\/SMC.2017.8123067"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Almeida, F.R., Brayner, A., Rodrigues, J.J.P.C., and Maia, J.E.B. (2017). Improving Multidimensional Wireless Sensor Network Lifetime Using Pearson Correlation and Fractal Clustering. Sensors, 17.","DOI":"10.3390\/s17061317"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jnca.2013.07.009","article-title":"An energy efficient hierarchical clustering index tree for facilitating time-correlated region queries in the Internet of Things","volume":"40","author":"Tang","year":"2014","journal-title":"J. Netw. Comput. Appl."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Engelbrecht, A.P. (2007). Computational Intelligence: An Introduction, Wiley Publishing. [2nd ed.].","DOI":"10.1002\/9780470512517"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1007\/s11277-016-3793-8","article-title":"Energy Aware Clustering Scheme in Wireless Sensor Network Using Neuro-Fuzzy Approach","volume":"95","author":"Balaji","year":"2017","journal-title":"Wirel. Pers. Commun."},{"key":"ref_26","first-page":"56","article-title":"Power Consumption Reduction for Wireless Sensor Networks Using a Fuzzy Approach","volume":"6","author":"Pau","year":"2016","journal-title":"Int. J. Eng. Technol. Innov."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1109\/TSMCC.2011.2129570","article-title":"An ant colony optimization approach for maximizing the lifetime of heterogeneous wireless sensor networks","volume":"42","author":"Lin","year":"2011","journal-title":"IEEE Trans. Syst. Man Cybern. Part C: Appl. Rev."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1077","DOI":"10.1109\/TMC.2009.16","article-title":"On the Planning of Wireless Sensor Networks: Energy-Efficient Clustering under the Joint Routing and Coverage Constraint","volume":"8","author":"Chamam","year":"2009","journal-title":"IEEE Trans. Mob. Comput."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2708","DOI":"10.1016\/j.comcom.2007.05.018","article-title":"An optimal coverage-preserving scheme for wireless sensor networks based on local information exchange","volume":"30","author":"Boukerche","year":"2007","journal-title":"Comput. Commun."},{"key":"ref_30","first-page":"8020","article-title":"Energy-Efficient Communication Protocol for Wireless Microsensor Networks","volume":"Volume 8","author":"Heinzelman","year":"2000","journal-title":"Proceedings of the 33rd Hawaii International Conference on System Sciences"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1186\/s13677-017-0103-2","article-title":"Energy efficient temporal load aware resource allocation in cloud computing datacenters","volume":"7","author":"Vakilinia","year":"2018","journal-title":"J. Cloud Comput."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2761","DOI":"10.1587\/transinf.2017PAP0003","article-title":"Power-Effective File Layout Based on Large Scale Data-Intensive Application in Virtualized Environment","volume":"E100.D","author":"Yagai","year":"2017","journal-title":"IEICE Trans. Inf. Syst."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"10010","DOI":"10.3390\/s111110010","article-title":"Improving Prediction Accuracy for WSN Data Reduction by Applying Multivariate Spatio-Temporal Correlation","volume":"11","author":"Carvalho","year":"2011","journal-title":"Sensors"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.adhoc.2014.07.008","article-title":"Data similarity aware dynamic node clustering in wireless sensor networks","volume":"24","author":"Gielow","year":"2015","journal-title":"Ad Hoc Netw."},{"key":"ref_35","first-page":"41","article-title":"Simulated Annealing Based Neural Network for Dynamic Clustering In Wireless Sensor Network","volume":"3","author":"Sharma","year":"2014","journal-title":"Int. J. Eng. Dev. Res."},{"key":"ref_36","first-page":"73","article-title":"Distance Functions For Clustering in Wireless Sensor Networks","volume":"3","author":"Devi","year":"2011","journal-title":"Int. J. Wirel. Commun. Netw."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1311","DOI":"10.1002\/dac.1104","article-title":"SCCS: Spatiotemporal clustering and compressing schemes for efficient data collection applications in WSNs","volume":"23","author":"Pham","year":"2010","journal-title":"Int. J. Commun. Syst."},{"key":"ref_38","first-page":"341","article-title":"Tandem: A Context-Aware Method for Spontaneous Clustering of Dynamic Wireless Sensor Nodes","volume":"Volume 4952","author":"Floerkemeier","year":"2008","journal-title":"The Internet of Things"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Chatterjee, S., and Misra, S. (2015, January 8\u201312). Optimal composition of a virtual sensor for efficient virtualization within sensor-cloud. Proceedings of the 2015 IEEE International Conference on Communications (ICC 2015), London, UK.","DOI":"10.1109\/ICC.2015.7248362"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Dinh, T., and Kim, Y. (2016). An Efficient Interactive Model for On-Demand Sensing-As-A-Services of Sensor-Cloud. Sensors, 16.","DOI":"10.3390\/s16070992"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Dinh, T., and Kim, Y. (2017, January 21\u201325). An efficient sensor-cloud interactive model for on-demand latency requirement guarantee. Proceedings of the 2017 IEEE International Conference on Communications (ICC), Paris, France.","DOI":"10.1109\/ICC.2017.7996817"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Dinh, T., Kim, Y., and Lee, H. (2017). A Location-Based Interactive Model of Internet of Things and Cloud (IoT-Cloud) for Mobile Cloud Computing Applications. Sensors, 17.","DOI":"10.3390\/s17030489"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Dinh, T., and Kim, Y. (2017, January 21\u201325). Information centric sensor-cloud integration: An efficient model to improve wireless sensor networks\u2019 lifetime. Proceedings of the 2017 IEEE International Conference on Communications (ICC), Paris, France.","DOI":"10.1109\/ICC.2017.7996979"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Rodrigues, F., Brayner, A., and Maia, J.E.B. (2015, January 13\u201317). Using fractal clustering to explore behavioral correlation: A new approach to reduce energy consumption in WSN. Proceedings of the 30th Annual ACM Symposium on Applied Computing, Salamanca, Spain.","DOI":"10.1145\/2695664.2696007"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Park, J., Kim, K.H., and Kim, K. (2017). An Algorithm for Timely Transmission of Solicitation Messages in RPL for Energy-Efficient Node Mobility. Sensors, 17.","DOI":"10.3390\/s17040899"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Ribas, A., Colonna, J., Figueiredo, C., and Nakamura, E. (2012, January 10\u201315). Similarity clustering for data fusion in Wireless Sensor Networks using k-means. Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, QLD, Australia.","DOI":"10.1109\/IJCNN.2012.6252430"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"5040475","DOI":"10.1155\/2016\/5040475","article-title":"Balanced Cluster Head Selection Based on Modified k-Means in a Distributed Wireless Sensor Network","volume":"12","author":"Periyasamy","year":"2016","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Kim, J.Y., Sharma, T., Kumar, B., Tomar, G.S., Berry, K., and Lee, W.H. (2014). Intercluster Ant Colony Optimization Algorithm for Wireless Sensor Network in Dense Environment. Int. J. Distrib. Sens. Netw., 2014.","DOI":"10.1155\/2014\/457402"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1165","DOI":"10.1007\/s11277-015-2682-x","article-title":"A Clustering Routing Protocol for WSN Based on Type-2 Fuzzy Logic and Ant Colony Optimization","volume":"84","author":"Xie","year":"2015","journal-title":"Wirel. Pers. Commun."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1007\/s11277-015-2733-3","article-title":"Ant Colony Optimization Based Orthogonal Directional Proactive\u2014Reactive Routing Protocol for Wireless Sensor Networks","volume":"85","author":"Jain","year":"2015","journal-title":"Wirel. Pers. Commun."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Bezerra, V., J\u00fanior, M.C., Val\u00e9ria, O., Neto, C.D., Leal, L., Lemos, M., Carvalho, C.G., Filho, J.B., Holanda, R., and Agoulmine, N. (2014, January 13\u201316). A Quality-Aware and Energy-Efficient Context Management Framework for Ubiquitous Systems. Proceedings of the 2014 IEEE 28th International Conference on Advanced Information Networking and Applications, Victoria, BC, Canada.","DOI":"10.1109\/AINA.2014.70"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/MCI.2006.329691","article-title":"Ant colony optimization","volume":"1","author":"Dorigo","year":"2006","journal-title":"IEEE Comput. Intell. Mag."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1102","DOI":"10.1016\/j.asoc.2009.02.014","article-title":"Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation","volume":"9","author":"Garcia","year":"2009","journal-title":"Appl. Soft Comput."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1016\/S0167-739X(00)00042-X","article-title":"Ant Algorithms and Stigmergy","volume":"16","author":"Dorigo","year":"2000","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Dorigo, M., and St\u00c3\u0152tzle, T. (2002). The ant colony optimization metaheuristic: Algorithms, applications, and advances. Handbook of Metaheuristics, Kluwer Academic Publishers.","DOI":"10.1007\/0-306-48056-5_9"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1983","DOI":"10.1109\/TPDS.2012.216","article-title":"Does Wireless Sensor Network Scale? A Measurement Study on GreenOrbs","volume":"24","author":"Liu","year":"2013","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1287","DOI":"10.1016\/j.adhoc.2011.01.003","article-title":"Near optimal scheduling of data aggregation in wireless sensor networks","volume":"11","author":"Wang","year":"2013","journal-title":"Ad Hoc Netw."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Sacchi, C., Bellalta, B., Vinel, A., Schlegel, C., Granelli, F., and Zhang, Y. (2011). Transmission Power Control in Single-Hop and Multi-hop Wireless Sensor Networks. Multiple Access Communications: 4th International Workshop, MACOM 2011, Trento, Italy, September 12\u201313, 2011. Proceedings, Springer.","DOI":"10.1007\/978-3-642-23795-9"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"347","DOI":"10.5194\/ars-5-347-2007","article-title":"Energy modelling in sensor networks","volume":"5","author":"Schmidt","year":"2007","journal-title":"Adv. Radio Sci."},{"key":"ref_60","unstructured":"Adams, J.T. (2006, January 4\u201311). An introduction to IEEE STD 802.15.4. Proceedings of the 2006 IEEE Aerospace Conference, Big Sky, MT, USA."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/3\/689\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T14:56:30Z","timestamp":1760194590000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/3\/689"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2,26]]},"references-count":60,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2018,3]]}},"alternative-id":["s18030689"],"URL":"https:\/\/doi.org\/10.3390\/s18030689","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,2,26]]}}}