{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:01:09Z","timestamp":1760241669981,"version":"build-2065373602"},"reference-count":60,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2018,8,4]],"date-time":"2018-08-04T00:00:00Z","timestamp":1533340800000},"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>Tomato greenhouses are a crucial element in the Equadorian economy. Wireless sensor networks (WSNs) have received much attention in recent years in specialized applications such as precision farming. The energy consumption in WSNs is relevant nowadays for their adequate operation, and attention is being paid to analyzing the affecting factors, energy optimization techniques working on the network hardware or software, and characterizing the consumption in the nodes (especially in the ZigBee standard). However, limited information exists on the analysis of the consumption dynamics in each node, across different network technologies and communication topologies, or on the incidence of data transmission speed. The present study aims to provide a detailed analysis of the dynamics of the energy consumption for tomato greenhouse monitoring in Ecuador, in three types of WSNs, namely, ZigBee with star topology, ZigBee with mesh topology (referred to here as DigiMesh), and WiFi with access point topology. The networks were installed and maintained in operation with a line of sight between nodes and a 2-m length, whereas the energy consumption measurements of each node were acquired and stored in the laboratory. Each experiment was repeated ten times, and consumption measurements were taken every ten milliseconds at a rate of fifty thousand samples for each realization. The dynamics were scrutinized by analyzing the recorded time series using stochastic-process analysis methods, including amplitude probability functions and temporal autocorrelation, as well as bootstrap resampling techniques and representations of various embodiments with the so-called M-mode plots. Our results show that the energy consumption of each network strongly depends on the type of sensors installed in the nodes and on the network topology. Specifically, the CO2 sensor has the highest power consumption because its chemical composition requires preheating to start logging measurements. The ZigBee network is more efficient in energy saving independently of the transmission rate, since the communication modules have lower average consumption in data transmission, in contrast to the DigiMesh network, whose consumption is high due to its topology. Results also show that the average energy consumption in WiFi networks is the highest, given that the coordinator node is a Meshlium\u2122 router with larger energy demand. The transmission duration in the ZigBee network is lower than in the other two networks. In conclusion, the ZigBee network with star topology is the most energy-suitable one when designing wireless monitoring systems in greenhouses. The proposed methodology for consumption dynamics analysis in tomato greenhouse WSNs can be applied to other scenarios where the practical choice of an energy-efficient network is necessary due to energy constrains in the sensor and coordinator nodes.<\/jats:p>","DOI":"10.3390\/s18082556","type":"journal-article","created":{"date-parts":[[2018,8,7]],"date-time":"2018-08-07T03:44:18Z","timestamp":1533613458000},"page":"2556","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Multiparametric Monitoring in Equatorian Tomato Greenhouses (II): Energy Consumption Dynamics"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2196-3514","authenticated-orcid":false,"given":"Mayra","family":"Erazo-Rodas","sequence":"first","affiliation":[{"name":"Departamento de El\u00e9ctrica y Electr\u00f3nica, Universidad de las Fuerzas Armadas ESPE, Av. General Rumi\u00f1ahui s\/n, Sangolqu\u00ed 171-5-231B, Ecuador"},{"name":"Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones, Sistemas Telem\u00e1ticos y Computaci\u00f3n, Universidad Rey Juan Carlos, 28943 Fuenlabrada, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7782-7677","authenticated-orcid":false,"given":"Mary","family":"Sandoval-Moreno","sequence":"additional","affiliation":[{"name":"Departamento de Ciencias Exactas, Universidad de las Fuerzas Armadas ESPE, Av. General Rumi\u00f1ahui s\/n, Sangolqu\u00ed 171-5-231B, Ecuador"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1356-2646","authenticated-orcid":false,"given":"Sergio","family":"Mu\u00f1oz-Romero","sequence":"additional","affiliation":[{"name":"Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones, Sistemas Telem\u00e1ticos y Computaci\u00f3n, Universidad Rey Juan Carlos, 28943 Fuenlabrada, Spain"},{"name":"Center for Computational Simulation, Universidad Polit\u00e9cnica de Madrid, Boadilla del Monte, 28660 Madrid, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4435-7987","authenticated-orcid":false,"given":"M\u00f3nica","family":"Huerta","sequence":"additional","affiliation":[{"name":"Carrera de Telecomunicaciones, Universidad Polit\u00e9cnica Salesiana, 010105 Cuenca, Ecuador"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5958-6606","authenticated-orcid":false,"given":"David","family":"Rivas-Lalaleo","sequence":"additional","affiliation":[{"name":"Departamento de El\u00e9ctrica y Electr\u00f3nica, Universidad de las Fuerzas Armadas ESPE, Av. General Rumi\u00f1ahui s\/n, Sangolqu\u00ed 171-5-231B, Ecuador"},{"name":"Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones, Sistemas Telem\u00e1ticos y Computaci\u00f3n, Universidad Rey Juan Carlos, 28943 Fuenlabrada, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0426-8912","authenticated-orcid":false,"given":"Jos\u00e9 Luis","family":"Rojo-\u00c1lvarez","sequence":"additional","affiliation":[{"name":"Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones, Sistemas Telem\u00e1ticos y Computaci\u00f3n, Universidad Rey Juan Carlos, 28943 Fuenlabrada, Spain"},{"name":"Center for Computational Simulation, Universidad Polit\u00e9cnica de Madrid, Boadilla del Monte, 28660 Madrid, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2018,8,4]]},"reference":[{"key":"ref_1","unstructured":"INEC (2015). Survey Area and Agricultural Production Continues (ESPAC), National Institute of Statistics and Census (INEC). Technical Report."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"117","DOI":"10.3390\/challe6010117","article-title":"On global electricity usage of communication technology: Trends to 2030","volume":"6","author":"Andrae","year":"2015","journal-title":"Challenges"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1109\/SURV.2012.062612.00084","article-title":"Energy-efficient routing protocols in wireless sensor networks: A survey","volume":"15","author":"Pantazis","year":"2013","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_4","first-page":"41","article-title":"T\u00e9cnicas de Optimizaci\u00f3n de Consumo Energ\u00e9tico en Redes de Sensores Inal\u00e1mbricos y Modelado Energ\u00e9tico B\u00e1sico de Nodos Sensores","volume":"5","year":"2015","journal-title":"Ingenio Magno"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1109\/JSTQE.2010.2053522","article-title":"Energy Consumption of Telecommunication Networks and Related Improvement Options","volume":"17","author":"Lange","year":"2011","journal-title":"IEEE J. Sel. Top. Quantum Electron."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Tucker, R.S. (2012, January 20\u201323). Energy consumption in telecommunications. Proceedings of the Optical Interconnects Conference, Santa Fe, NM, USA.","DOI":"10.1109\/OIC.2012.6224478"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Vaquerizo-Hdez, D., and Mu\u00f1oz, P. (2017). A Low Power Consumption Algorithm for Efficient Energy Consumption in ZigBee Motes. Sensors, 17.","DOI":"10.3390\/s17102179"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"5809","DOI":"10.3390\/s100605809","article-title":"Power consumption analysis of operating systems for wireless sensor networks","volume":"10","author":"Lajara","year":"2010","journal-title":"Sensors"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1109\/JPROC.2008.2008786","article-title":"UWB systems for wireless sensor networks","volume":"97","author":"Zhang","year":"2009","journal-title":"Proc. IEEE"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1109\/JSEN.2010.2067447","article-title":"A Low-Power\/Low-Voltage CMOS Wireless Interface at 5.7 GHz With Dry Electrodes for Cognitive Networks","volume":"11","author":"Dias","year":"2011","journal-title":"IEEE Sens. J."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1016\/j.adhoc.2008.06.003","article-title":"Energy conservation in wireless sensor networks: A survey","volume":"7","author":"Anastasi","year":"2009","journal-title":"Ad Hoc Netw."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Seah, W.K., Eu, Z.A., and Tan, H.P. (2009, January 17\u201320). Wireless sensor networks powered by ambient energy harvesting (WSN-HEAP)-Survey and challenges. Proceedings of the 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology, Aalborg, Denmark.","DOI":"10.1109\/WIRELESSVITAE.2009.5172411"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Abdel-Aal, M.O., Shaaban, A.A., Ramadan, R.A., and Abdel-Meguid, M.Z. (2012, January 10\u201311). Energy saving and reliable data reduction techniques for single and multi-modal WSNs. Proceedings of the International Conference on Engineering and Technology (ICET), Cairo, Egypt.","DOI":"10.1109\/ICEngTechnol.2012.6396121"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2555","DOI":"10.3390\/s18082555","article-title":"Multiparametric Monitoring in Equatorian Tomato Greenhouse (I): Wireless Sensor Network Benchmarking","volume":"18","author":"Rivas","year":"2018","journal-title":"Sensors"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2557","DOI":"10.3390\/s18082557","article-title":"Multiparametric Monitoring in Equatorian Tomato Greenhouse (III): Environment Measurement Dynamics","volume":"18","author":"Rivas","year":"2018","journal-title":"Sensors"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"140","DOI":"10.5121\/ijwmn.2011.3113","article-title":"Application of wireless sensor networks for greenhouse parameter control in precision agriculture","volume":"3","author":"Chaudhary","year":"2011","journal-title":"Int. J. Wirel. Mob. Netw."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"387","DOI":"10.3390\/electronics2040387","article-title":"An energy conservative wireless sensor networks approach for precision agriculture","volume":"2","author":"Li","year":"2013","journal-title":"Electronics"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Pellegrini, M. (2014, January 17\u201318). Intelligent wireless sensor nodes in water monitoring systems. Proceedings of the IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems Proceedings, Naples, Italy.","DOI":"10.1109\/EESMS.2014.6923290"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Olatinwo, S.O., and Joubert, T.H. (2018). Optimizing the Energy and Throughput of a Water-Quality Monitoring System. Sensors, 18.","DOI":"10.3390\/s18041198"},{"key":"ref_20","unstructured":"\u0110uri\u0161i\u0107, M.P., Tafa, Z., Dimi\u0107, G., and Milutinovi\u0107, V. (2012, January 19\u201321). A survey of military applications of wireless sensor networks. Proceedings of the Mediterranean Conference on Embedded Computing (MECO), Bar, Montenegro."},{"key":"ref_21","unstructured":"Mendalka, M., Gadaj, M., Kulas, L., and Nyka, K. (2010, January 28\u201330). WSN for intelligent street lighting system. Proceedings of the 2nd International Conference on Information Technology, (2010 ICIT), Gdansk, Poland."},{"key":"ref_22","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_23","doi-asserted-by":"crossref","first-page":"26143","DOI":"10.3390\/s151026143","article-title":"A wireless sensor network for urban traffic characterization and trend monitoring","volume":"15","year":"2015","journal-title":"Sensors"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Reza Akhondi, M., Talevski, A., Carlsen, S., and Petersen, S. (2010, January 20\u201323). Applications of wireless sensor networks in the oil, gas and resources industries. Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications (AINA), Perth, WA, Australia.","DOI":"10.1109\/AINA.2010.18"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"7096","DOI":"10.3390\/s140407096","article-title":"Wisph: A wireless sensor network-based home care monitoring system","volume":"14","year":"2014","journal-title":"Sensors"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"El Emary, I., and Ramakrishnan, S. (2014). Wireless Sensor Networks, CRC Press.","DOI":"10.1201\/b15425"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1007\/s11119-014-9371-8","article-title":"A survey of wireless sensor network approaches and their energy consumption for monitoring farm fields in precision agriculture","volume":"16","author":"Anisi","year":"2015","journal-title":"Precis. Agric."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Girban, G., and Popa, M. (2010, January 27\u201329). A glance on WSN lifetime and relevant factors for energy consumption. Proceedings of the International Joint Conference on Computational Cybernetics and Technical Informatics, Timisoara, Romania.","DOI":"10.1109\/ICCCYB.2010.5491217"},{"key":"ref_29","unstructured":"Pirnia, S. (2010). Energy Consumption in Wireless Sensor Networks. [Master\u2019s Thesis, University of Pittsburgh]."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Barboni, L., and Valle, M. (2008, January 25\u201331). Experimental analysis of wireless sensor nodes current consumption. Proceedings of the Second International Conference on Sensor Technologies and Applications, SENSORCOMM\u201908, Cap Esterel, France.","DOI":"10.1109\/SENSORCOMM.2008.14"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Niewiadomska-Szynkiewicz, E., Kwa\u015bniewski, P., and Windyga, I. (2009). Comparative study of wireless sensor networks energy-efficient topologies and power save protocols. J. Telecommun.inf. Technol., 68\u201375.","DOI":"10.26636\/jtit.2009.3.942"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1504\/IJSNET.2010.033205","article-title":"Energy consumption considerations in dynamic wireless sensor networks with nodes and base stations mobility","volume":"7","author":"Landolsi","year":"2010","journal-title":"Int. J. Sens. Netw."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"5443","DOI":"10.3390\/s100605443","article-title":"Modeling of current consumption in 802.15. 4\/ZigBee sensor motes","volume":"10","author":"Casilari","year":"2010","journal-title":"Sensors"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1002\/ett.1466","article-title":"Energy consumption balancing (ECB) issues and mechanisms in wireless sensor networks (WSNs): A comprehensive overview","volume":"22","author":"Ishmanov","year":"2011","journal-title":"Eur. Trans. Telecommun."},{"key":"ref_35","first-page":"33","article-title":"Energy model of sensor nodes in WSN","volume":"9","author":"Lozneanu","year":"2011","journal-title":"Rev. Air Force Acad."},{"key":"ref_36","first-page":"28","article-title":"Overview and analysis of the performances of ZigBee-based wireless sensor networks","volume":"29","author":"Mihajlov","year":"2011","journal-title":"Int. J. Comput. Appl."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Soua, R., and Minet, P. (2011, January 26\u201328). A survey on energy efficient techniques in wireless sensor networks. Proceedings of the 2011 4th Joint IFIPWireless and Mobile Networking Conference (WMNC), Toulouse, France.","DOI":"10.1109\/WMNC.2011.6097244"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"179","DOI":"10.5121\/ijdps.2012.3516","article-title":"Energy efficient topologies for wireless sensor networks","volume":"3","author":"Kaur","year":"2012","journal-title":"Int. J. Distrib. Parallel Syst."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"806","DOI":"10.3390\/s120100806","article-title":"Reliability and availability evaluation of wireless sensor networks for industrial applications","volume":"12","author":"Silva","year":"2012","journal-title":"Sensors"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1793","DOI":"10.1080\/00207721.2012.670293","article-title":"Evaluating reliability of WSN with sleep\/wake-up interfering nodes","volume":"44","author":"Distefano","year":"2013","journal-title":"Int. J. Syst. Sci."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Deshpande, A., Montiel, C., and McLauchlan, L. (2014, January 3\u20134). Wireless Sensor Networks\u2013A Comparative Study for Energy Minimization Using Topology Control. Proceedings of the Sixth Annual IEEE Green Technologies Conference, Corpus Christi, TX, USA.","DOI":"10.1109\/GREENTECH.2014.30"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Luo, F., Jiang, C., Zhang, H., Wang, X., Zhang, L., and Ren, Y. (2014, January 14\u201317). Node energy consumption analysis in wireless sensor networks. Proceedings of the 2014 IEEE 80th Vehicular Technology Conference (VTC Fall), Vancouver, BC, Canada.","DOI":"10.1109\/VTCFall.2014.6966071"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Moschitta, A., and Neri, I. (2014). Power consumption assessment in wireless sensor networks. ICT-Energy-Concepts towards Zero-Power Information and Communication Technology, InTech.","DOI":"10.5772\/57201"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.comnet.2014.03.027","article-title":"Energy efficiency in wireless sensor networks: A top-down survey","volume":"67","author":"Rault","year":"2014","journal-title":"Comput. Netw."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Abo-Zahhad, M., Farrag, M., and Ali, A. (2015, January 23\u201324). Modeling and optimization of energy consumption in Wireless Sensor Networks. Proceedings of the 2015 Tenth International Conference on Computer Engineering & Systems (ICCES), Cairo, Egypt.","DOI":"10.1109\/ICCES.2015.7393063"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"3766","DOI":"10.3390\/s150203766","article-title":"Analysis of wireless sensor network topology and estimation of optimal network deployment by deterministic radio channel characterization","volume":"15","author":"Aguirre","year":"2015","journal-title":"Sensors"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1346079","DOI":"10.1155\/2016\/1346079","article-title":"Transmission reliability evaluation for wireless sensor networks","volume":"12","author":"Zhu","year":"2016","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"D\u00e2maso, A., Rosa, N., and Maciel, P. (2017). Integrated evaluation of reliability and power consumption of wireless sensor networks. Sensors, 17.","DOI":"10.3390\/s17112547"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Efron, B., and Tibshirani, R.J. (1994). An Introduction to the Bootstrap, CRC Press.","DOI":"10.1201\/9780429246593"},{"key":"ref_50","first-page":"1","article-title":"Effect of Different Ventricular Arrhythmia Origin on Cardiac Sounds Variability Using M-mode Signals Representation","volume":"44","author":"Ortiz","year":"2017","journal-title":"Computing"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Rivas-Lalaleo, D., Mu\u00f1oz-Romero, S., Huerta, M., Erazo-Rodas, M., S\u00e1nchez-Mu\u00f1oz, J., Rojo-\u00c1lvarez, J., and Garc\u00eda-Alberola, A. (2018). Force Trends and Pulsatility for Catheter Contact Identification in Intracardiac Electrograms during Arrhythmia Ablation. Sensors, 18.","DOI":"10.3390\/s18051399"},{"key":"ref_52","unstructured":"Dixon, W.J., and Massey Frank, J. (1950). Introduction to Statistical Analysis, McGraw-Hill Book Company, Inc.. [4th ed.]."},{"key":"ref_53","first-page":"29","article-title":"A nonparametric method to generate synthetic populations to adjust for complex sampling design features","volume":"40","author":"Dong","year":"2014","journal-title":"Surv. Methodol."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Duchon, C., and Hale, R. (2012). Time Series Analysis in Meteorology and Climatology: An Introduction, John Wiley & Sons.","DOI":"10.1002\/9781119953104"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Vaseghi, S.V. (2008). Advanced Digital Signal Processing and Noise Reduction, John Wiley & Sons. [4th ed.].","DOI":"10.1002\/9780470740156"},{"key":"ref_56","unstructured":"(2000). User Guide (Agilent 34410A), Agilent Technologies. Technical Report."},{"key":"ref_57","unstructured":"Papoulis, A., and Pillai, S.U. (2002). Probability, Random Variables, and Stochastic Processes, Tata McGraw-Hill Education. [4th ed.]."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Laxpati, S.R., and Goncharoff, V. (2017). Practical Signal Processing and Its Applications: With Solved Homework Problems, World Scientific.","DOI":"10.1142\/10551"},{"key":"ref_59","unstructured":"Arfken, G.B., and Weber, H.J. (2005). Mathematical Methods for Physicists International Student Edition, Academic Press. [6th ed.]."},{"key":"ref_60","unstructured":"Hogg, R.V., and Craig, A.T. (1995). Introduction to Mathematical Statistics, Prentice Hall. [4th ed.]."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/8\/2556\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:16:37Z","timestamp":1760195797000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/8\/2556"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,4]]},"references-count":60,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2018,8]]}},"alternative-id":["s18082556"],"URL":"https:\/\/doi.org\/10.3390\/s18082556","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2018,8,4]]}}}