{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:55:49Z","timestamp":1760151349835,"version":"build-2065373602"},"reference-count":24,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2022,3,10]],"date-time":"2022-03-10T00:00:00Z","timestamp":1646870400000},"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>Various aspects of the detection of events in wireless powered communication networks (WPCN) are studied and analyzed under the assumption of highly noisy sensor measurements. In WPCN, networks sensor nodes\u2019 stored energy is a scarce resource and must be treated sparingly. Frequent false alarm detections force superfluous transmissions, thus depleting nodes\u2019 energy storage. This has an adverse effect on the probability of successful transmission of the information message and its delay in case of a true positive detection. In this work, the detection problem is approached using an optimal stopping framework, where the involved likelihoods are highly unstable due to the noisy measurements. A classical AR filter is adopted in order to smooth the posterior likelihoods prior to their usage in the detection phase and its performance is contrasted to that of a novel Beta Particle Filter smoother. The effects of the smoothing filters on the achieved false alarm rate and detection delay are examined using numerical and simulation results. Moreover, the assessment of the detection process takes into account critical WPCN parameters, such as the charging efficiency and the location of the sensors, thus aiding the system design.<\/jats:p>","DOI":"10.3390\/s22062163","type":"journal-article","created":{"date-parts":[[2022,3,10]],"date-time":"2022-03-10T20:19:10Z","timestamp":1646943550000},"page":"2163","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Comprehensive Study of Event Detection in WPCN Networks with Noisy Measurements"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5267-1613","authenticated-orcid":false,"given":"Michael","family":"Koutsioumpos","sequence":"first","affiliation":[{"name":"Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Panepistimioupolis, Ilissia, 15772 Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7095-5123","authenticated-orcid":false,"given":"Evangelos","family":"Zervas","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronics Engineering, University of West Attica, 12244 Egaleo, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Efstathios","family":"Hadjiefthymiades","sequence":"additional","affiliation":[{"name":"Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Panepistimioupolis, Ilissia, 15772 Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lazaros","family":"Merakos","sequence":"additional","affiliation":[{"name":"Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Panepistimioupolis, Ilissia, 15772 Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Djidi, N.E.H., Gautier, M., Courtay, A., Berder, O., and Magno, M. (2021). How can wake-up radio reduce lora downlink latency for energy harvesting sensor nodes?. Sensors, 21.","DOI":"10.3390\/s21030733"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"109856","DOI":"10.1016\/j.measurement.2021.109856","article-title":"Scopes, challenges and approaches of energy harvesting for wireless sensor nodes in machine condition monitoring systems: A review","volume":"183","author":"Ahmad","year":"2021","journal-title":"Measurement"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1137\/1108002","article-title":"On optimum methods in quickest detection problems","volume":"8","author":"Shiryaev","year":"1963","journal-title":"Theory Probab. Its Appl."},{"key":"ref_4","unstructured":"Shiryaev, A.N. (2007). Optimal Stopping Rules, Springer Science & Business Media."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1109\/LWC.2018.2846575","article-title":"Wireless power transfer via mmWave power beacons with directional beamforming","volume":"8","author":"Guo","year":"2018","journal-title":"IEEE Wirel. Commun. Lett."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1109\/JSAC.2018.2872381","article-title":"Energy beamforming in wireless powered mmWave sensor networks","volume":"37","author":"Psomas","year":"2018","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"5382","DOI":"10.1109\/TSP.2016.2595491","article-title":"Wireless power transfer for distributed estimation in wireless passive sensor networks","volume":"64","author":"Hong","year":"2016","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Koutsioumpos, M., Zervas, E., Hadjiefthymiades, E., and Merakos, L. (2020). Monitoring for Rare Events in a Wireless Powered Communication mmWave Sensor Network. Sensors, 20.","DOI":"10.3390\/s20123341"},{"key":"ref_9","first-page":"127","article-title":"A study on intrusion detection system in wireless sensor networks","volume":"12","author":"Godala","year":"2020","journal-title":"Int. J. Commun. Netw. Inf. Secur."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Kandris, D., Nakas, C., Vomvas, D., and Koulouras, G. (2020). Applications of wireless sensor networks: An up-to-date survey. Appl. Syst. Innov., 3.","DOI":"10.3390\/asi3010014"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Safaei, M., Asadi, S., Driss, M., Boulila, W., Alsaeedi, A., Chizari, H., Abdullah, R., and Safaei, M. (2020). A systematic literature review on outlier detection in wireless sensor networks. Symmetry, 12.","DOI":"10.3390\/sym12030328"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1016\/j.stamet.2005.05.003","article-title":"Detection of intrusions in information systems by sequential change-point methods","volume":"3","author":"Tartakovsky","year":"2006","journal-title":"Stat. Methodol."},{"key":"ref_13","first-page":"339","article-title":"Change-point detection in multichannel and distributed systems","volume":"173","author":"Tartakovsky","year":"2004","journal-title":"Appl. Seq. Methodol. Real-World Examples Data Anal."},{"key":"ref_14","unstructured":"Xie, Y., and Siegmund, D. (2013, January 10\u201315). Sequential multi-sensor change-point detection. Proceedings of the 2013 Information Theory and Applications Workshop (ITA), San Diego, CA, USA."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1961","DOI":"10.1109\/TIT.2010.2040869","article-title":"Quickest change detection of a Markov process across a sensor array","volume":"56","author":"Raghavan","year":"2010","journal-title":"IEEE Trans. Inf. Theory"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"3346","DOI":"10.1109\/TIT.2009.2021311","article-title":"One shot schemes for decentralized quickest change detection","volume":"55","author":"Hadjiliadis","year":"2009","journal-title":"IEEE Trans. Inf. Theory"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1379","DOI":"10.1214\/aos\/1176350164","article-title":"Optimal stopping times for detecting changes in distributions","volume":"14","author":"Moustakides","year":"1986","journal-title":"Ann. Stat."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1657","DOI":"10.1109\/18.923755","article-title":"Decentralized quickest change detection","volume":"47","author":"Veeravalli","year":"2001","journal-title":"IEEE Trans. Inf. Theory"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Premkumar, K., and Kumar, A. (2008, January 13\u201318). Optimal sleep-wake scheduling for quickest intrusion detection using wireless sensor networks. Proceedings of the IEEE INFOCOM 2008-The 27th Conference on Computer Communications, Phoenix, AZ, USA.","DOI":"10.1109\/INFOCOM.2008.198"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.inffus.2009.12.006","article-title":"Multisensor data fusion for fire detection","volume":"12","author":"Zervas","year":"2011","journal-title":"Inf. Fusion"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1897","DOI":"10.1214\/aoms\/1177693055","article-title":"Procedures for reacting to a change in distribution","volume":"42","author":"Lorden","year":"1971","journal-title":"Ann. Math. Stat."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2082","DOI":"10.1109\/LCOMM.2015.2478460","article-title":"Practical non-linear energy harvesting model and resource allocation for SWIPT systems","volume":"19","author":"Boshkovska","year":"2015","journal-title":"IEEE Commun. Lett."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"7667","DOI":"10.1109\/ACCESS.2017.2673248","article-title":"Random beamforming in millimeter-wave NOMA networks","volume":"5","author":"Ding","year":"2017","journal-title":"IEEE Access"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2444","DOI":"10.1109\/TPDS.2014.2357033","article-title":"Estimating the spatiotemporal evolution characteristics of diffusive hazards using wireless sensor networks","volume":"26","author":"Manatakis","year":"2014","journal-title":"IEEE Trans. Parallel Distrib. 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