Elevated operating temperatures for photovoltaic modules remain a critical challenge for PV systems, particularly in regions with high irradiance. High temperatures lower efficiency and accelerate module degradation. Single-axis trackers generally rely on algorithms that maximize irradiance capture. To tackle the dual challenge of maximizing production while preventing overheating, we propose a thermal-aware tracking algorithm. The method substantially reduces module temperatures during inverter clipping, a common occurrence in PV systems with high dc/ac ratios. By moderating plane-of-array irradiance (POAI) only when excess power cannot be exported, the algorithm reduces the module temperature without compromising energy yield. Validation using an advanced thermal model that accounts for wind-driven convection and radiative exchange with the sky shows that, under the climatic and operational conditions in Chile, the algorithm performs best when panels are oriented closer to horizontal. Implemented on a solar tracker in northern Chile, the algorithm achieved module temperature reductions of up to 7.7 °C along with decreased UV exposure, enhancing thermal performance without compromising system output and thereby improving efficiency while minimizing degradation.
{"title":"Thermal-Aware Tracking for Photovoltaics: Reducing Module Degradation Without Sacrificing Yield","authors":"Zeinab Haydous;Robinson Cavieres Abarca;Phillip Hamer;Nathan Chang;Felipe Valencia;Bram Hoex","doi":"10.1109/JPHOTOV.2026.3654124","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2026.3654124","url":null,"abstract":"Elevated operating temperatures for photovoltaic modules remain a critical challenge for PV systems, particularly in regions with high irradiance. High temperatures lower efficiency and accelerate module degradation. Single-axis trackers generally rely on algorithms that maximize irradiance capture. To tackle the dual challenge of maximizing production while preventing overheating, we propose a thermal-aware tracking algorithm. The method substantially reduces module temperatures during inverter clipping, a common occurrence in PV systems with high dc/ac ratios. By moderating plane-of-array irradiance (POAI) only when excess power cannot be exported, the algorithm reduces the module temperature without compromising energy yield. Validation using an advanced thermal model that accounts for wind-driven convection and radiative exchange with the sky shows that, under the climatic and operational conditions in Chile, the algorithm performs best when panels are oriented closer to horizontal. Implemented on a solar tracker in northern Chile, the algorithm achieved module temperature reductions of up to 7.7 °C along with decreased UV exposure, enhancing thermal performance without compromising system output and thereby improving efficiency while minimizing degradation.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"16 2","pages":"250-256"},"PeriodicalIF":2.6,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146223811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-06DOI: 10.1109/TSM.2026.3657883
{"title":"Call for Papers for a Special Issue of IEEE Transactions on Electron Devices: Ultrawide Band Gap Semiconductor Devices for RF, Power and Optoelectronic Applications","authors":"","doi":"10.1109/TSM.2026.3657883","DOIUrl":"https://doi.org/10.1109/TSM.2026.3657883","url":null,"abstract":"","PeriodicalId":451,"journal":{"name":"IEEE Transactions on Semiconductor Manufacturing","volume":"39 1","pages":"165-166"},"PeriodicalIF":2.3,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11373219","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146122763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-06DOI: 10.1109/TSM.2025.3648625
{"title":"IEEE Transactions on Semiconductor Manufacturing Information for Authors","authors":"","doi":"10.1109/TSM.2025.3648625","DOIUrl":"https://doi.org/10.1109/TSM.2025.3648625","url":null,"abstract":"","PeriodicalId":451,"journal":{"name":"IEEE Transactions on Semiconductor Manufacturing","volume":"39 1","pages":"C3-C3"},"PeriodicalIF":2.3,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11373124","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146122787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-06DOI: 10.1109/OJNANO.2026.3661648
A. Van Zegbroeck;E. Van Meirvenne;P. Anagnostou;F. Ciubotaru;C. Adelmann;S. Hamdioui;S. Cotofana
Theoretically speaking, Majority logic, originally proposed in the $ ^{prime }70s$, enables more compact and efficient arithmetic implementations than the conventional Boolean counterpart. Nonetheless, CMOS technology based Majority logic realizations remain challenging, as standard transistor-based approaches are unable to directly exhibit majority behavior. However, recent exploration on beyond CMOS technologies created a resurgence of the interest in majority logic. In this work, we propose and analyze a novel approach towards the 3-input Majority gate (MAJ3) implementation by means of piezoelectric materials. By leveraging their intrinsic electromechanical properties, we convert the digital input signals into mechanical deformations, which are accumulated in a transfer layer. Subsequently, we transform the combined deformation back to the electric domain with a piezoelectronics element properly designed to perform majority functionality. We first present the underlying principles behind our proposal with a short introduction on majority logic, piezoelectronics, and the utilized simulation framework. Afterwards we introduce the proposed piezoelectric 3-input Majority gate (piezo-MAJ3) and strategies for optimizing its behavior and performance. We also detail the material parameters and structural design impact on device performance by utilizing both analytical discussion and physics-based simulations. Finally, we shortly highlight how our proposal can be directly integrated into CMOS circuits and compare the piezo-MAJ3 potential cost and performance with the ones of state of the art implementations. Our results indicate that when compared with its CMOS counterpart, the piezo-MAJ3 gate requires half the area, it is 7x faster, while reducing with 44% the energy consumption.
{"title":"Can Electro-Mechanical Stress Enable Effective Majority Logic Implementations?","authors":"A. Van Zegbroeck;E. Van Meirvenne;P. Anagnostou;F. Ciubotaru;C. Adelmann;S. Hamdioui;S. Cotofana","doi":"10.1109/OJNANO.2026.3661648","DOIUrl":"https://doi.org/10.1109/OJNANO.2026.3661648","url":null,"abstract":"Theoretically speaking, Majority logic, originally proposed in the <inline-formula><tex-math>$ ^{prime }70s$</tex-math></inline-formula>, enables more compact and efficient arithmetic implementations than the conventional Boolean counterpart. Nonetheless, CMOS technology based Majority logic realizations remain challenging, as standard transistor-based approaches are unable to directly exhibit majority behavior. However, recent exploration on beyond CMOS technologies created a resurgence of the interest in majority logic. In this work, we propose and analyze a novel approach towards the 3-input Majority gate (MAJ3) implementation by means of piezoelectric materials. By leveraging their intrinsic electromechanical properties, we convert the digital input signals into mechanical deformations, which are accumulated in a transfer layer. Subsequently, we transform the combined deformation back to the electric domain with a piezoelectronics element properly designed to perform majority functionality. We first present the underlying principles behind our proposal with a short introduction on majority logic, piezoelectronics, and the utilized simulation framework. Afterwards we introduce the proposed piezoelectric 3-input Majority gate (piezo-MAJ3) and strategies for optimizing its behavior and performance. We also detail the material parameters and structural design impact on device performance by utilizing both analytical discussion and physics-based simulations. Finally, we shortly highlight how our proposal can be directly integrated into CMOS circuits and compare the piezo-MAJ3 potential cost and performance with the ones of state of the art implementations. Our results indicate that when compared with its CMOS counterpart, the piezo-MAJ3 gate requires half the area, it is 7x faster, while reducing with 44% the energy consumption.","PeriodicalId":446,"journal":{"name":"IEEE Open Journal of Nanotechnology","volume":"7 ","pages":"34-40"},"PeriodicalIF":1.9,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11372983","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147299552","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}
Pub Date : 2026-02-06DOI: 10.1109/JSEN.2026.3652315
Dong Li;Xiaohua Wang;Jiacheng Qi;Wenjie Wang
Visual simultaneous localization and mapping (SLAM) underpins many robotic applications; yet, both traditional dense SLAM and neural point cloud-based approaches still struggle to balance real-time tracking with high-fidelity dense reconstruction in cluttered indoor scenes. To enhance the quality of dense mapping reconstruction for robots in complex indoor environments, this article proposes an improved neural point cloud-based dense SLAM method joint encoding and adjustable neural point cloud-based RGB-D SLAM (JA-SLAM). First, JA-SLAM employs a dual-multilayer perceptron (MLP) architecture consisting of a geometric MLP and a color MLP: the geometric MLP is used to predict occupancy probabilities of neural point clouds, while the color MLP predicts RGB values of neural point clouds. Specifically, the geometric MLP employs a hybrid encoding approach called high-frequency and multiscale collaborative encoding (HFMSCE), which effectively leverages both the high-frequency and multiscale spatial information of point clouds. Second, a region-justable neural point cloud densification strategy that performs adjustable optimization based on the scene information density is designed to optimize point cloud distribution according to the scene information density. Third, we regularize the mapping objective with a weighted L2 term to balance reconstruction accuracy and robustness. Experimental results show that JA-SLAM achieves significant performance improvements in complex scenarios; on the Replica, TUM RGB-D, and ScanNet datasets, it outperforms state-of-the-art neural point cloud-based methods in terms of mapping fidelity while maintaining competitive tracking performance, achieving an average 2.3-dB improvement in PSNR and a 25% reduction in the number of point clouds.
视觉同步定位和地图（SLAM）是许多机器人应用的基础；然而，传统的密集SLAM和基于神经点云的方法仍然难以在杂乱的室内场景中实现实时跟踪和高保真密集重建的平衡。为了提高机器人在复杂室内环境下密集映射重建的质量，本文提出了一种改进的基于神经点云的密集SLAM方法联合编码和基于可调神经点云的RGB-D SLAM （JA-SLAM）。首先，JA-SLAM采用由几何MLP和颜色MLP组成的双多层感知器（MLP）架构：几何MLP用于预测神经点云的占用概率，而颜色MLP用于预测神经点云的RGB值。具体而言，几何MLP采用了一种称为高频多尺度协同编码（HFMSCE）的混合编码方法，有效地利用了点云的高频和多尺度空间信息。其次，设计基于场景信息密度可调优化的区域可调神经点云密度策略，根据场景信息密度优化点云分布；第三，我们用加权L2项正则化映射目标，以平衡重建精度和鲁棒性。实验结果表明，在复杂场景下，JA-SLAM算法的性能得到了显著提高；在Replica、TUM RGB-D和ScanNet数据集上，它在映射保真度方面优于最先进的基于神经点云的方法，同时保持有竞争力的跟踪性能，实现了平均2.3 db的PSNR改进，点云数量减少了25%。
{"title":"JA-SLAM: Joint Encoding and Adjustable Neural Point Cloud-Based RGB-D SLAM","authors":"Dong Li;Xiaohua Wang;Jiacheng Qi;Wenjie Wang","doi":"10.1109/JSEN.2026.3652315","DOIUrl":"https://doi.org/10.1109/JSEN.2026.3652315","url":null,"abstract":"Visual simultaneous localization and mapping (SLAM) underpins many robotic applications; yet, both traditional dense SLAM and neural point cloud-based approaches still struggle to balance real-time tracking with high-fidelity dense reconstruction in cluttered indoor scenes. To enhance the quality of dense mapping reconstruction for robots in complex indoor environments, this article proposes an improved neural point cloud-based dense SLAM method joint encoding and adjustable neural point cloud-based RGB-D SLAM (JA-SLAM). First, JA-SLAM employs a dual-multilayer perceptron (MLP) architecture consisting of a geometric MLP and a color MLP: the geometric MLP is used to predict occupancy probabilities of neural point clouds, while the color MLP predicts RGB values of neural point clouds. Specifically, the geometric MLP employs a hybrid encoding approach called high-frequency and multiscale collaborative encoding (HFMSCE), which effectively leverages both the high-frequency and multiscale spatial information of point clouds. Second, a region-justable neural point cloud densification strategy that performs adjustable optimization based on the scene information density is designed to optimize point cloud distribution according to the scene information density. Third, we regularize the mapping objective with a weighted L2 term to balance reconstruction accuracy and robustness. Experimental results show that JA-SLAM achieves significant performance improvements in complex scenarios; on the Replica, TUM RGB-D, and ScanNet datasets, it outperforms state-of-the-art neural point cloud-based methods in terms of mapping fidelity while maintaining competitive tracking performance, achieving an average 2.3-dB improvement in PSNR and a 25% reduction in the number of point clouds.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"26 6","pages":"9330-9338"},"PeriodicalIF":4.3,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147440608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-04DOI: 10.1109/JPHOTOV.2026.3656498
Takeshi Tayagaki;Kohei Yamamoto;Takurou N. Murakami;Masahiro Yoshita
The nonuniform luminescence changes were investigated under illumination and applied voltage in perovskite photovoltaic (PV) modules. The intensity of photoluminescence (PL) and electroluminescence (EL) intensities gradually decreased under illumination and applied voltage, respectively, which could be due to ion migration. This is implied by the metastable behavior of the device: the power decreased under illumination and recovered after dark storage. The rate of decrease in PL and EL intensities was different for each subsolar cell, indicating the nonuniform performance of perovskite solar cells in the module. In addition, the EL image after dark storage shows a speckle pattern and a decrease in the bright EL spots under the applied voltage. These changes indicate that the interface between the perovskite and charge-transport layer may not recover uniformly during dark storage. These results indicate that transient luminescence imaging to evaluate the presence of inhomogeneous layers, such as the absorbers, can contribute to the understanding of the degradation of perovskite PVs.
{"title":"Nonuniform Luminescence Changes Under Illumination and Applied Voltage in Perovskite Photovoltaic Modules","authors":"Takeshi Tayagaki;Kohei Yamamoto;Takurou N. Murakami;Masahiro Yoshita","doi":"10.1109/JPHOTOV.2026.3656498","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2026.3656498","url":null,"abstract":"The nonuniform luminescence changes were investigated under illumination and applied voltage in perovskite photovoltaic (PV) modules. The intensity of photoluminescence (PL) and electroluminescence (EL) intensities gradually decreased under illumination and applied voltage, respectively, which could be due to ion migration. This is implied by the metastable behavior of the device: the power decreased under illumination and recovered after dark storage. The rate of decrease in PL and EL intensities was different for each subsolar cell, indicating the nonuniform performance of perovskite solar cells in the module. In addition, the EL image after dark storage shows a speckle pattern and a decrease in the bright EL spots under the applied voltage. These changes indicate that the interface between the perovskite and charge-transport layer may not recover uniformly during dark storage. These results indicate that transient luminescence imaging to evaluate the presence of inhomogeneous layers, such as the absorbers, can contribute to the understanding of the degradation of perovskite PVs.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"16 2","pages":"205-210"},"PeriodicalIF":2.6,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146223776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-04DOI: 10.1109/JPHOTOV.2026.3653058
AJ Gray;Sarah Collins;Shaniah Greene;Jeff Squier;William E. McMahon;Nate Miller;Zac Bittner;Daniel Derkacs;Myles A. Steiner;Theresa E. Saenz
Eliminating photolithography from photovoltaic device processing is a significant opportunity for cost reduction and increased manufacturing throughput. In this work, we test femtosecond laser ablation and scribing as an alternative to contact photolithography and wet chemical etching for mesa isolation of multijunction devices. We demonstrate that upright multijunction devices isolated by using the laser as a scribe to cleave through the substrate had virtually no performance loss when compared to a baseline device processed with photolithography. By contrast, devices isolated by laser ablating through the active layers have performance losses that cannot be fully eliminated with postprocess etching. This demonstration of photolithography-free mesa isolation with no performance losses is promising as a pathway to less expensive and higher throughput III-V device manufacturing.
{"title":"Lithography-Free Mesa Isolation by Laser Ablation for Multijunction III-V Photovoltaic Space Power Generation","authors":"AJ Gray;Sarah Collins;Shaniah Greene;Jeff Squier;William E. McMahon;Nate Miller;Zac Bittner;Daniel Derkacs;Myles A. Steiner;Theresa E. Saenz","doi":"10.1109/JPHOTOV.2026.3653058","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2026.3653058","url":null,"abstract":"Eliminating photolithography from photovoltaic device processing is a significant opportunity for cost reduction and increased manufacturing throughput. In this work, we test femtosecond laser ablation and scribing as an alternative to contact photolithography and wet chemical etching for mesa isolation of multijunction devices. We demonstrate that upright multijunction devices isolated by using the laser as a scribe to cleave through the substrate had virtually no performance loss when compared to a baseline device processed with photolithography. By contrast, devices isolated by laser ablating through the active layers have performance losses that cannot be fully eliminated with postprocess etching. This demonstration of photolithography-free mesa isolation with no performance losses is promising as a pathway to less expensive and higher throughput III-V device manufacturing.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"16 2","pages":"211-216"},"PeriodicalIF":2.6,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146223819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-03DOI: 10.1109/JSEN.2026.3658771
Yipeng Chen;Ziwei Zhang;Jun Liu
The robustness of perception systems in adverse weather is critical for the safety of autonomous vehicles, with millimeter-wave (mmWave) radar being an indispensable sensor. However, current radar-based segmentation models are trained offline on static datasets and suffer from catastrophic forgetting when encountering unseen object classes in dynamic real-world environments. To address this limitation, we introduce a class-incremental continual learning (CIL) framework specifically designed for automotive radar point cloud semantic segmentation. Our approach employs a model-agnostic student–teacher architecture, where a frozen model from a previous task provides supervisory signals to the current model via knowledge distillation (KD). This is combined with a focal loss to handle the inherent class imbalance of radar data. Our framework is comprehensively evaluated on the RadarScenes dataset across several state-of-the-art segmentation architectures, including both point- and transformer-based models, to demonstrate its general applicability. Our experiments demonstrate that the proposed strategy effectively mitigates catastrophic forgetting. This work establishes a benchmark for continual learning on radar point clouds, paving the way for more adaptive and long-term autonomous perception systems.
{"title":"Continual Learning for Automotive Radar Semantic Segmentation","authors":"Yipeng Chen;Ziwei Zhang;Jun Liu","doi":"10.1109/JSEN.2026.3658771","DOIUrl":"https://doi.org/10.1109/JSEN.2026.3658771","url":null,"abstract":"The robustness of perception systems in adverse weather is critical for the safety of autonomous vehicles, with millimeter-wave (mmWave) radar being an indispensable sensor. However, current radar-based segmentation models are trained offline on static datasets and suffer from catastrophic forgetting when encountering unseen object classes in dynamic real-world environments. To address this limitation, we introduce a class-incremental continual learning (CIL) framework specifically designed for automotive radar point cloud semantic segmentation. Our approach employs a model-agnostic student–teacher architecture, where a frozen model from a previous task provides supervisory signals to the current model via knowledge distillation (KD). This is combined with a focal loss to handle the inherent class imbalance of radar data. Our framework is comprehensively evaluated on the RadarScenes dataset across several state-of-the-art segmentation architectures, including both point- and transformer-based models, to demonstrate its general applicability. Our experiments demonstrate that the proposed strategy effectively mitigates catastrophic forgetting. This work establishes a benchmark for continual learning on radar point clouds, paving the way for more adaptive and long-term autonomous perception systems.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"26 6","pages":"9364-9374"},"PeriodicalIF":4.3,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147440629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1109/JSEN.2026.3658197
Soufiane Ben Othman;Chinmay Chakraborty;Saranjit Singh;Mohamed Amine Frikha
Sensor devices and Internet of Things (IoT) devices face a critical, fundamental challenge: deploying robust security while operating under severe constraints on energy, processing power, and memory. This article presents biologically inspired entropy security (BioEnS), a novel, closed-loop framework designed to overcome the inherent security–privacy–efficiency trilemma by achieving paretooptimal adaptive security. BioEnS models adaptive defense as a real-time, constrained multiobjective optimization problem, dynamically resolving the trade-off between security assurance ($Phi$ ) and resource consumption ($Psi$ ) based on current context. The framework core relies on a hardware root-of-trust entropy source (HRTES), which provides a quantifiable PUF-derived min-entropy rate ($E_{text{rate}}$ ) for nondeterministic key derivation, feeding into an Adaptive Security Manager (ASM). This mechanism rigorously enforces context-dependent security requirements ($Phi_{text{req}}$ ) through a dominant $lambda$ -penalty term, enabling ultralow latency policy decisions. Experimental validation on an ARM Cortex-M platform demonstrates exceptional performance: BioEnS maintains a near-zero security violation rate (SVR) (0.02%) while simultaneously yielding a superior lifetime extension ratio (LER) of $0.69 times$ relative to the high-security baseline (HSB), confirming the validity of the guaranteed policy enforcement.
传感器设备和物联网（IoT）设备面临着一个关键的、根本性的挑战：在能源、处理能力和内存受到严格限制的情况下，部署强大的安全性。本文介绍了生物启发熵安全（BioEnS），这是一种新颖的闭环框架，旨在通过实现paretooptimal自适应安全来克服固有的安全-隐私-效率三难困境。BioEnS将自适应防御建模为一个实时的、有约束的多目标优化问题，根据当前环境动态解决安全保障（$Phi$）和资源消耗（$Psi$）之间的权衡。框架核心依赖于硬件信任根熵源（HRTES），它为非确定性密钥派生提供可量化的puf派生的最小熵率（$E_{text{rate}}$），并将其输入自适应安全管理器（ASM）。该机制通过一个占主导地位的$lambda$惩罚项严格执行与上下文相关的安全需求（$Phi_{text{req}}$），从而支持超低延迟策略决策。在ARM Cortex-M平台上的实验验证显示了卓越的性能：BioEnS保持了接近零的安全违规率（SVR） （0.02）%) while simultaneously yielding a superior lifetime extension ratio (LER) of $0.69 times$ relative to the high-security baseline (HSB), confirming the validity of the guaranteed policy enforcement.
{"title":"A Neuroentropy-Driven Nature-Inspired Framework for Adaptive Privacy and Lightweight Security in Sensor Devices","authors":"Soufiane Ben Othman;Chinmay Chakraborty;Saranjit Singh;Mohamed Amine Frikha","doi":"10.1109/JSEN.2026.3658197","DOIUrl":"https://doi.org/10.1109/JSEN.2026.3658197","url":null,"abstract":"Sensor devices and Internet of Things (IoT) devices face a critical, fundamental challenge: deploying robust security while operating under severe constraints on energy, processing power, and memory. This article presents biologically inspired entropy security (BioEnS), a novel, closed-loop framework designed to overcome the inherent security–privacy–efficiency trilemma by achieving paretooptimal adaptive security. BioEnS models adaptive defense as a real-time, constrained multiobjective optimization problem, dynamically resolving the trade-off between security assurance (<inline-formula> <tex-math>$Phi$ </tex-math></inline-formula>) and resource consumption (<inline-formula> <tex-math>$Psi$ </tex-math></inline-formula>) based on current context. The framework core relies on a hardware root-of-trust entropy source (HRTES), which provides a quantifiable PUF-derived min-entropy rate (<inline-formula> <tex-math>$E_{text{rate}}$ </tex-math></inline-formula>) for nondeterministic key derivation, feeding into an Adaptive Security Manager (ASM). This mechanism rigorously enforces context-dependent security requirements (<inline-formula> <tex-math>$Phi_{text{req}}$ </tex-math></inline-formula>) through a dominant <inline-formula> <tex-math>$lambda$ </tex-math></inline-formula>-penalty term, enabling ultralow latency policy decisions. Experimental validation on an ARM Cortex-M platform demonstrates exceptional performance: BioEnS maintains a near-zero security violation rate (SVR) (0.02%) while simultaneously yielding a superior lifetime extension ratio (LER) of <inline-formula> <tex-math>$0.69 times$ </tex-math></inline-formula> relative to the high-security baseline (HSB), confirming the validity of the guaranteed policy enforcement.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"26 6","pages":"9356-9363"},"PeriodicalIF":4.3,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147440503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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