{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:36:27Z","timestamp":1760243787995,"version":"build-2065373602"},"reference-count":36,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2012,11,5]],"date-time":"2012-11-05T00:00:00Z","timestamp":1352073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Subsurface environment sensing and monitoring applications such as detection of water intrusion or a landslide, which could significantly change the physical properties of the host soil, can be accomplished using a novel concept, Wireless Signal Networks (WSiNs). The wireless signal networks take advantage of the variations of radio signal strength on the distributed underground sensor nodes of WSiNs to monitor and characterize the sensed area. To characterize subsurface environments for event detection and classification, this paper provides a detailed list and experimental data of soil properties on how radio propagation is affected by soil properties in subsurface communication environments. Experiments demonstrated that calibrated wireless signal strength variations can be used as indicators to sense changes in the subsurface environment. The concept of WSiNs for the subsurface event detection is evaluated with applications such as detection of water intrusion, relative density change, and relative motion using actual underground sensor nodes. To classify geo-events using the measured signal strength as a main indicator of geo-events, we propose a window-based minimum distance classifier based on Bayesian decision theory. The window-based classifier for wireless signal networks has two steps: event detection and event classification. With the event detection, the window-based classifier classifies geo-events on the event occurring regions that are called a classification window. The proposed window-based classification method is evaluated with a water leakage experiment in which the data has been measured in laboratory experiments. In these experiments, the proposed detection and classification method based on wireless signal network can detect and classify subsurface events.<\/jats:p>","DOI":"10.3390\/s121114862","type":"journal-article","created":{"date-parts":[[2012,11,5]],"date-time":"2012-11-05T11:09:37Z","timestamp":1352113777000},"page":"14862-14886","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Subsurface Event Detection and Classification Using Wireless Signal Networks"],"prefix":"10.3390","volume":"12","author":[{"given":"Suk-Un","family":"Yoon","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA 18015, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ehsan","family":"Ghazanfari","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, Lehigh University, Bethlehem, PA 18015, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Cheng","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA 18015, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sibel","family":"Pamukcu","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, Lehigh University, Bethlehem, PA 18015, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhannad","family":"Suleiman","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, Lehigh University, Bethlehem, PA 18015, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2012,11,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1016\/j.adhoc.2006.04.003","article-title":"Wireless underground sensor networks: Research challenges","volume":"4","author":"Akyildiz","year":"2006","journal-title":"Ad Hoc Netw."},{"key":"ref_2","unstructured":"Dios, R.J., Enriquez, J., Victorino, F.G., Mendoza, E.A., Talampas, M.C., and Marciano, J.J. (2009, January 23\u201326). Development, and Evaluation of a Tilt and Soil Moisture Sensor Network for Slope Monitoring Applications. Singapore."},{"key":"ref_3","unstructured":"Sheth, A., Tejaswi, K., Mehta, P., Parekh, C., Bansal, R., Merchant, S., Singh, T., Desai, U.B., Thekkath, C.A., and Toyama, K. (2005, January 2\u20134). Senslide: A Sensor Network Based Landslide Prediction System. San Diego, CA, USA."},{"key":"ref_4","unstructured":"Crossbow Technology Inc. Products of MICAz, MICA2, and MTS SENSOR BOARDS. Available online: http:\/\/www.xbow.com (accessed on 1 November 2012)."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Yoon, S.U., Ghazanfari, E., Cheng, L., Suleiman, M.T., and Pamukcu, S. (2011, January 6\u201310). Subsurface Geo-Applications of Wireless Signal Networks. San Diego, CA, USA.","DOI":"10.1117\/12.881804"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1028","DOI":"10.1061\/(ASCE)1090-0241(2003)129:11(1028)","article-title":"Soil water content monitoring using electromagnetic induction","volume":"129","author":"Reedy","year":"2003","journal-title":"J. Geotech. Geoenviron. Eng."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/S0168-1699(00)00185-X","article-title":"Accuracy issues in electromagnetic induction sensing of soil electrical conductivity for precision agriculture","volume":"31","author":"Sudduth","year":"2001","journal-title":"J. Comput. Electron. Agric."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"444","DOI":"10.2136\/vzj2003.4440","article-title":"A review of advances in dielectric and electrical conductivity measurement in soils using time domain reflectometry","volume":"2","author":"Robinson","year":"2003","journal-title":"Vadose Zone J."},{"key":"ref_9","unstructured":"Van der Velde, R. (2010). Soil Moisture Remote Sensing Using Active Microwaves and Land Surface Modeling. [Ph.D. Thesis, University of Twente]."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1016\/j.jhydrol.2004.10.014","article-title":"Soil moisture content estimation using ground-penetrating radar reflection data","volume":"307","author":"Lunt","year":"2005","journal-title":"J. Hydrol."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Furlani, K.M., Miller, P.K., and Mooney, M.A. (2005, January 11\u201314). Evaluation of Wireless Sensor Node for Measuring Slope Inclination in Geotechnical Applications. Ferrara, Italy.","DOI":"10.22260\/ISARC2005\/0017"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Terzis, A., Anandarajah, A., Moore, K., and Wang, I.J. (2006, January 19\u201321). Slip Surface Localization in Wireless Sensor Networks for Landslide Prediction. Nashville, TN, USA.","DOI":"10.1145\/1127777.1127797"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"103","DOI":"10.12989\/sss.2005.1.1.103","article-title":"Future sensing systems","volume":"1","author":"Glaser","year":"2005","journal-title":"Smart Struct. Syst."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"115","DOI":"10.12989\/sss.2006.2.2.115","article-title":"Terra-Scope\u2212A MEMS-Based vertical seismic array","volume":"2","author":"Chen","year":"2006","journal-title":"Smart Struct. Syst."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Abdoun, T., Abe, A., Bennett, V., Danisch, L., Sato, M., Tokimatsu, K., and Ubilla, J. (2007, January 18\u201321). Wireless Real Time Monitoring of Soil and Soil-Structure Systems. Denver, CO, USA.","DOI":"10.1061\/40905(224)5"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Ghazanfari, E., Yoon, S.U., Dong, Y., Li, X., Medina, C.I., Seserko, D., Cheng, L., Yun, T.S., and Pamukcu, S. (2011, January 13\u201316). Subsurface Geo-Event Monitoring Using Wireless Sensor Networks. Dallas, TX, USA.","DOI":"10.1061\/41165(397)177"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Ghazanfari, E., Yoon, S.U., Pamukcu, S., Suleiman, M.T., and Cheng, L. (2012, January 25\u201329). Real Time Global Subsurface Monitoring Using New Application of Wireless Signal Networks, Proof of Concept. Oakland, CA, USA.","DOI":"10.1061\/9780784412121.316"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Yoon, S.U., Cheng, L., Ghazanfari, E., Wang, Z, Zhang, X., Suleiman, M.T., and Pamukcu, S. (2012, January 19\u201323). Subsurface Monitoring Using Low Frequency Wireless Signal Networks. Lugano, Switzerland.","DOI":"10.1109\/PerComW.2012.6197530"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Ghazanfari, E., Pamukcu, S., Yoon, S.U., Suleiman, M.T., and Cheng, L. (2012). Geotechnical sensing using electromagnetic attenuation between radio transceivers. J. Smart Mater. Struct., Accepted.","DOI":"10.1088\/0964-1726\/21\/12\/125017"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1109\/JRPROC.1946.234568","article-title":"A note on a simple transmission formula","volume":"34","author":"Friis","year":"1946","journal-title":"Proc. I.R.E."},{"key":"ref_21","unstructured":"Rappaport, T.S. (1996). Wireless Communications Principles and Practice, Prentice Hall."},{"key":"ref_22","unstructured":"Orfanidis, S.J. Available online: http:\/\/eceweb1.rutgers.edu\/\u223corfanidi\/ewa\/ (accessed on 4 November 2012)."},{"key":"ref_23","unstructured":"Yoon, S.U., Cheng, L., Ghazanfari, E., Pamukcu, S., and Suleiman, M.T. (2011, January 5\u20139). A Radio Propagation Model for Wireless Underground Sensor Networks. Houston, TX, USA."},{"key":"ref_24","unstructured":"Low-Frequency Experimental Radio. Available online: http:\/\/en.wikipedia.org\/wiki\/LowFER (accessed on 1 November 2012)."},{"key":"ref_25","unstructured":"Dillinger, M., Madani, K., and Alonistioti, N. (2003). Software Defined Radio: Architectures, Systems and Functions, Wiley & Sons."},{"key":"ref_26","unstructured":"USRP Family of Products. Available online: http:\/\/www.ettus.com (accessed on 2 November 2012)."},{"key":"ref_27","unstructured":"ASTM G187-05 Standard Test Method for Measurement of Soil Resistivity Using the Two-Electrode Soil Box Method. Available online: http:\/\/www.astm.org\/Standards\/G187.htm (accessed on 1 November 2012)."},{"key":"ref_28","unstructured":"Precision Farming Tools: Soil Electrical Conductivity. Available online: http:\/\/pubs.ext.vt.edu\/442\/442-508\/442-508.html (accessed on 1 November 2012)."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Zhurbenko, V. (2011). Electromagnetic Waves, InTech.","DOI":"10.5772\/693"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1139\/T08-007","article-title":"Temperature dependence of dielectric properties of moist soils","volume":"45","author":"Jaganathan","year":"2008","journal-title":"Can. Geotech. J."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1109\/36.387598","article-title":"Dielectric Properties of Soils in the 0.3\u20131.3-GHz Range","volume":"33","author":"Peplinski","year":"1995","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Silva, A.R., and Vuran, M.C. (2010). Development of a testbed for wireless underground sensor networks. EURASIP J. Wirel. Commun. Netw.","DOI":"10.1155\/2010\/620307"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1007\/978-3-642-02085-8_17","article-title":"Empirical evaluation of wireless underground-to-underground communication in wireless underground sensor networks","volume":"5516","author":"Silva","year":"2009","journal-title":"Distrib. Comput. Sens. Syst."},{"key":"ref_34","unstructured":"Duda, R.O., Hart, P.E., and Stork, D.G. (2000). Pattern Classification, Wiley-Interscience. [2nd ed.]."},{"key":"ref_35","unstructured":"Locher, T., Wattenhofer, R., and Zollinger, A. (2005, January 23\u201325). Received-Signal-Strength-Based Logical Positioning Resilient to Signal Fluctuation. Towson, MD, USA."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1623","DOI":"10.1190\/1.1437539","article-title":"Estimation of permeable pathways and water content using tomographic radar data","volume":"16","author":"Hubbard","year":"1997","journal-title":"Leading Edge"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/12\/11\/14862\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:53:19Z","timestamp":1760219599000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/12\/11\/14862"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,11,5]]},"references-count":36,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2012,11]]}},"alternative-id":["s121114862"],"URL":"https:\/\/doi.org\/10.3390\/s121114862","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2012,11,5]]}}}