{"title":"Enhancing the Sensitivity of Wireless LC Sensors Using Time Modulation","authors":"Nanshu Wu;Yichong Ren;Pai-Yen Chen","doi":"10.1109/LSENS.2024.3487777","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3487777","url":null,"abstract":"We present an exceptional point (EP)-based temporally modulated wireless passive sensor, surpassing partly the shortcomings of traditional sensor structures, such as energy-consuming, low sensitivity, and hard-to-integrate. For traditional sensors, those factors mentioned above restrict the scope of applications. To address these limitations, temporally modulated EPs are introduced into \u0000<italic>LC</i>\u0000 tank sensing topologies. Originating from quantum mechanics, EPs are characterized by the coalescence of a system's complex eigenvalues, leading to considerable frequency splitting in response to minor perturbations. In this letter, comprehensive simulation results validate the feasibility and enhanced performance of this approach, confirming its superiority over existing sensor technologies. The introduction of EP-based wireless sensors equipped with time modulation marks a significant advancement in the field, promising substantial improvements in the sensitivity and accuracy of wireless sensors for a variety of applications.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 12","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142636448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lingfeng Shen;Huanran Zhang;Ning Wang;Ying Cui;Xiang Cheng;Xiaomin Mu
{"title":"Joint Clustering and 3-D UAV Deployment for Delay-Aware UAV-Enabled MTC Data Collection Networks","authors":"Lingfeng Shen;Huanran Zhang;Ning Wang;Ying Cui;Xiang Cheng;Xiaomin Mu","doi":"10.1109/LSENS.2024.3487009","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3487009","url":null,"abstract":"The design of timely data collection for a machine-type communication (MTC) network by unmanned-aerial-vehicle (UAV) platform is investigated. The ground-based MTC devices are clustered for efficient service, and the UAV station's deployment in the 3-D space is optimized. The corresponding mission time minimization problem is formulated as a coupled mixed-integer nonlinear program. For tractability, the original problem is decomposed into two subproblems respectively dealing with clustering-hovering optimization and intercluster UAV traveling path minimization. An alternating clustering-hovering optimization (ACH) and ant colony optimization (ACO) solution approach is proposed accordingly. Simulations are conducted to validate the superiority of the proposed ACH–ACO scheme over the scheme based on \u0000<inline-formula><tex-math>$k$</tex-math></inline-formula>\u0000-means clustering.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 12","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142636312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automated Human Emotion Recognition System Using TQWT-Based EEG Subbands","authors":"Dhanhanjay Pachori;Tapan Kumar Gandhi","doi":"10.1109/LSENS.2024.3486708","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3486708","url":null,"abstract":"This letter presents a new framework for the identification of human emotion states, namely, positive, neutral, and negative, by using the electroencephalogram (EEG) signals. The methodology comprises advanced signal processing techniques and machine learning algorithms. The EEG signals were decomposed to various subbands by using the tunable-Q wavelet transform (TQWT). Further, from each subband, features, such as TQWT energy, total Shannon energy, Rényi entropy, Tsallis entropy, and fractal dimension, were extracted. The obtained features were combined and tested on various machine learning classifiers. The proposed method has been validated on the publicly available SJTU Emotion EEG Dataset. The accuracy obtained for human emotion recognition was 86.67% for subject-independent analysis and 88.87% for subject-dependent analysis. Also, we concluded that human emotions could be recognized more efficiently by both audio and visual stimuli as compared to individual audio or visual stimuli based on the channels selection method.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 12","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimation of Motion Statistics From Statistics of Received Power in Low-Power IoT Sensing Nodes","authors":"Waltenegus Dargie","doi":"10.1109/LSENS.2024.3486582","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3486582","url":null,"abstract":"Low-power Internet of Things (IoT) sensing nodes can be embedded into various physical environments to monitor vital parameters. Some of these environments impose rough and extreme operation conditions, severely limiting the performance of these nodes. Modeling these environments is vital to make the nodes adaptive. In this letter, we propose a model to estimate the complex motion of nodes deployed on the surface of different water bodies. The model relies on received power statistics only. Experimental results confirm that the model is reliable, achieving an estimation accuracy of 93%.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 12","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142636259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Miroslav Hutar;Alejandro Gil-Martínez;José Antonio López-Pastor;Peter Brida;José Luis Gómez-Tornero
{"title":"Amplitude–Monopulse Design Considerations for WiFi Direction Finding Applications","authors":"Miroslav Hutar;Alejandro Gil-Martínez;José Antonio López-Pastor;Peter Brida;José Luis Gómez-Tornero","doi":"10.1109/LSENS.2024.3486343","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3486343","url":null,"abstract":"In this letter, we investigate different criteria for selecting the mechanical tilting angle needed in amplitude–monopulse antenna arrays, with application to direction finding using wireless local area networks. The antenna system consists of two tilted panel antennas used to compare the received signal strength indicator of the signals coming from Internet of Things mobile devices equipped with WiFi network interface controllers. This comparison is employed to estimate the direction of arrival (DoA) for real-time indoor localization and tracking applications. A DoA monopulse antenna system designed for the 2.4 GHz WiFi band is used as a practical example. Three different tilting angles are investigated to explain the benefits and drawbacks when operating using the conventional half-power beam-crossover point or when different tilting angles are applied. Measurements are carried out in an outdoor multipath scenario, concluding that accuracy and field of view are highly dependent on the tilting angle.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 12","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10734681","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142636260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
W. K. Wong;Yuan Ju Teoh;Filbert H. Juwono;Jessica Ling;Sie Yon Lau
{"title":"Microalgal Density and Mass Estimation Using Low-Cost Spectrometer: NIR-VIS Modeling With Evolutionary Optimization","authors":"W. K. Wong;Yuan Ju Teoh;Filbert H. Juwono;Jessica Ling;Sie Yon Lau","doi":"10.1109/LSENS.2024.3484432","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3484432","url":null,"abstract":"Estimating microalgal concentration can be a nontrivial endeavor due to their nonlinearity at high cell densities. The conventional estimation method is cell counting, which is time consuming and leads to inaccurate readings. Alternatively, spectral reflectance provides a more precise measurement by using specific wavelengths that correspond directly to pigment absorption in microalgae, allowing for faster determination of cell density and biomass. Unfortunately, the experiment is usually conducted in the laboratory with expensive and high-resolution devices. In this letter, we build a low-cost, real-time Internet-of-Things-based spectral prototype sensor for estimating density and mass of microalgae. The device uses wavelengths in the range of 400–1000 nm, making it low resolution. Multi expression programming is employed to model the measured data. Results show that nonlinear models perform better with \u0000<inline-formula><tex-math>$R^{2}$</tex-math></inline-formula>\u0000 values spanning from 0.93 to 0.99 for two species of microalgae.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 11","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142579207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Priyabrata Biswal;Banibrata Mukherjee;Sougata Kumar Kar
{"title":"A Self-Powered Accelerometer Using Circular Hole Piezo Energy Harvester for Acceleration and Vibration Analysis","authors":"Priyabrata Biswal;Banibrata Mukherjee;Sougata Kumar Kar","doi":"10.1109/LSENS.2024.3485540","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3485540","url":null,"abstract":"In this letter, we have proposed a self-powered accelerometer system using circular hole-based piezoelectric energy harvester. The proposed circular hole-based harvester exhibits an open circuit voltage of 33 \u0000<inline-formula><tex-math>$V_{pp}$</tex-math></inline-formula>\u0000, which is 13.8% greater and resonant frequency of 24 Hz, which is 7.7% lower than the traditional harvester without hole. The performance metrics of the proposed harvester such as stress, strain, resonance frequency, voltage, and power, are thoroughly analyzed. The extracted energy by the proposed energy harvester from a vibration source is around 673 mJ with an average power of 170 \u0000<inline-formula><tex-math>${mu}$</tex-math></inline-formula>\u0000W, which is approximately 89% more than the conventional one. Performance of the harvester is also investigated by integrating the harvester with two nonlinear switching circuit topologies and a low power voltage regulator \u0000<inline-formula><tex-math>$HT7333$</tex-math></inline-formula>\u0000. It is observed from experimental studies that \u0000<inline-formula><tex-math>$HT7333$</tex-math></inline-formula>\u0000-based configurations works more efficiently than the previously reported configurations due to their low power consumptions, which makes it a potential energy management unit in self-powered systems. The energy harvested and energy consumed by the individual units are analyzed extensively and a commercial accelerometer \u0000<inline-formula><tex-math>$ADXL-335$</tex-math></inline-formula>\u0000 is powered and tested with the \u0000<inline-formula><tex-math>$HT7333$</tex-math></inline-formula>\u0000 configurations. Finally, the proposed prototype is also mounted on a motor vehicle, tested, and validated experimentally.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 12","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Electrochemical Understanding of the Difference Between Spherocytes Suspension From Normal Discocytes for Hemolytic Anemia Detection","authors":"Aindrila Roy;Debopam Bhattacharya;Payel Biswas;Subhadip Chakraborty;Rajen Haldar;Sanatan Chattopadhyay","doi":"10.1109/LSENS.2024.3485699","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3485699","url":null,"abstract":"Early diagnosis of hemolytic anemia, which often arises due to spherocytosis, is crucial for preventing severe health complications. This study demonstrates a possible approach to detect the condition by examining the electrochemical signatures of spherocyte suspensions. Cyclic voltammetry (CV) reveals distinct oxidation peaks at around 0.67 V for healthy discocytes and 0.72 V for spherocytes, with the latter exhibiting a lower oxidation current. This suggests reduced conversion of Fe\u0000<sup>2+</sup>\u0000 to Fe\u0000<sup>3+</sup>\u0000 state of hemoglobin likely due to impaired methemoglobin reductase activity and heightened hemoglobin oxidation in spherocytes. Co-oxidation studies and Raman spectroscopy reinforce such findings, thus confirming increased methemoglobin (Fe\u0000<sup>3+</sup>\u0000) in spherocytes, consequently promoting oxidative stress and cell lysis. Moreover, the electrochemical impedance spectroscopy (EIS) measurement shows higher impedance in spherocytes, which is attributed to their spherical symmetry that leads to weak dielectric properties. Thus, the proposed approach of electrochemical measurements by combining impedance spectroscopy and CV-derived oxidation rates is a promising cost-effective, low-volume (∼20 μL) diagnostic method for rapid and accurate detection of hemolytic anemia.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 12","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}