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A Clustered Routing Algorithm Based on Forwarding Mechanism Optimization 基于转发机制优化的聚类路由算法

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-13 DOI: 10.1109/JSEN.2024.3467055

Qian Sun;Jialong Pang;Xiaoyi Wang;Zhiyao Zhao;Jing Li

{"title":"A Clustered Routing Algorithm Based on Forwarding Mechanism Optimization","authors":"Qian Sun;Jialong Pang;Xiaoyi Wang;Zhiyao Zhao;Jing Li","doi":"10.1109/JSEN.2024.3467055","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3467055","url":null,"abstract":"Given the intrinsic low energy and high consumption characteristics of sensor nodes, it is imperative to explore strategies for achieving energy-efficient routing within wireless sensor networks (WSNs). A significant body of existing research on clustered routing algorithms for WSNs has concentrated on employing heuristic optimization algorithms to facilitate the selection of routing paths. However, once the number of sensor nodes or the deployment environment changes, the algorithm’s performance can fluctuate significantly, potentially requiring redesign and retuning. In this article, we propose the clustered routing algorithm based on forwarding mechanism optimization (CRFMO), which defines separate routing rules for intracluster and intercluster communication, providing suitable communication paths for nodes. The algorithm eschews the complex procedure of parameter tuning during the routing path selection process and contributes to expediting WSN deployment and balancing node load pressure, ultimately extending the network’s operational lifespan. Simulation outcomes reveal that, in comparison to LEACH-IACA and IMP-LEACH, the CRFMO algorithm markedly enhances energy distribution balance, equalizes the burden among nodes, sustains high network coverage over an extended period, which enhances the quality of network monitoring, and significantly extends the lifetime of the network.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 22","pages":"38071-38081"},"PeriodicalIF":4.3,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645531","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}

引用次数: 0

IEEE Sensors Council 电气和电子工程师学会传感器理事会

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-13 DOI: 10.1109/JSEN.2024.3490979

引用次数: 0

Blank Page 空白页

IF 1.3 1区化学

Accounts of Chemical Research Pub Date : 2024-11-12 DOI: 10.1109/TPS.2024.3486956

引用次数: 0

2024 Index IEEE Journal of Photovoltaics Vol. 14 2024 Index IEEE Journal of Photovoltaics Vol.

IF 2.5

ACS Applied Bio Materials Pub Date : 2024-11-04 DOI: 10.1109/JPHOTOV.2024.3489253

引用次数: 0

IEEE Sensors Council 电气和电子工程师学会传感器理事会

IF 4.3 3区材料科学

ACS Applied Energy Materials Pub Date : 2024-10-31 DOI: 10.1109/JSEN.2024.3482915

引用次数: 0

Polarization and Strain in Piezoelectric Nanomaterials: Advancing Sensing Applications in Biomedical Technology 压电纳米材料中的极化和应变：推进生物医学技术中的传感应用

IF 1.8

IEEE Open Journal of Nanotechnology Pub Date : 2024-10-30 DOI: 10.1109/OJNANO.2024.3488787

Anmol Garg;Sajal Agarwal;Deepak Punetha

引用次数: 0

High-Speed and Area-Efficient Serial IMPLY-Based Approximate Subtractor and Comparator for Image Processing and Neural Networks 用于图像处理和神经网络的基于 IMPLY 的高速、高面积效率串行近似减法器和比较器

IF 2.1 4区工程技术

IEEE Transactions on Nanotechnology Pub Date : 2024-10-28 DOI: 10.1109/TNANO.2024.3487223

Nandit Kaushik;B. Srinivasu

{"title":"High-Speed and Area-Efficient Serial IMPLY-Based Approximate Subtractor and Comparator for Image Processing and Neural Networks","authors":"Nandit Kaushik;B. Srinivasu","doi":"10.1109/TNANO.2024.3487223","DOIUrl":"https://doi.org/10.1109/TNANO.2024.3487223","url":null,"abstract":"In-Memory-Computing (IMC) through memristive architectures has recently gained traction owing to their capacity to perform logic operations within a crossbar, optimizing both area and speed constraints. This paper introduces two approximate serial IMPLY-based subtractor designs, denoted as Serial IMPLY-based Approximate Subtractor Design-1 (SIASD-1), Serial IMPLY-based Approximate Subtractor Design-2 (SIASD-2), with potential applications in image processing and deep neural networks. The proposed designs are implemented in MAGIC topology for comparison, named as Serial MAGIC-based Approximate Subtractor Design-1 (SMASD-1) and Serial MAGIC-based Approximate Subtractor Design-2 (SMASD-2). Moreover, these proposed subtractor designs are extended to design magnitude comparators. IMPLY-based approximate designs improve the overall latency up to 1.67× with energy savings in the range of 17.4% to 40.3% while occupying the same number of memristors for SIASD-1 and an increase of 3 to 5 memristors for SIASD-2, compared to the best existing exact 8-bit serial IMPLY subtractor. SMASD-1 and SMASD-2 improve the latency up to 1.43×, and energy efficiency are up by 77.6% compared to other MAGIC-based exact designs. Additionally, as comparators, the SIASD-1 and SIASD-2 are up to 4.93× faster with energy reduction up to 79.7% compared to their IMPLY-based equivalents. Similarly, the SMASD-1 and SMASD-2 reduce the latency up to 62% with area savings of 77%, compared to MAGIC-based equivalent designs. Furthermore, the proposed subtractor designs undergo analysis in an image processing application called Motion Detection, while the comparators are evaluated in Max Pooling operations. With Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) serving as assessment metrics, the proposed designs consistently demonstrate acceptable PSNR and SSIM values, affirming their suitability for these applications.","PeriodicalId":449,"journal":{"name":"IEEE Transactions on Nanotechnology","volume":"23 ","pages":"748-757"},"PeriodicalIF":2.1,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Development of a New Smart Portable I-V Tracer 设计和开发新型智能便携式 I-V 示踪器

IF 2.5

ACS Applied Bio Materials Pub Date : 2024-10-28 DOI: 10.1109/JPHOTOV.2024.3438451

Navid Tavakoli;Pascal Koelblin;Michael Saliba

{"title":"Design and Development of a New Smart Portable I-V Tracer","authors":"Navid Tavakoli;Pascal Koelblin;Michael Saliba","doi":"10.1109/JPHOTOV.2024.3438451","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2024.3438451","url":null,"abstract":"Photovoltaic (PV) module performance is primarily characterized by their current-voltage (\u0000<italic>I-V\u0000) measurements. However, the data obtained mostly contains errors. Commercial \u0000<italic>I-V\u0000 curve tracking units are generally expensive, hard to transport, slow to respond, and limited at low irradiations. This article proposes a novel \u0000<italic>I-V\u0000 tracer (SEPIV) based on an optimized single-ended primary inductance converter. The SEPIV comprises a linear variable dc load connected to the solar panel's output. In this study, the experimental performance of the SEPIV was compared with the outcomes of commercial and lab devices, which are PVPM 1000 C 40 (PVPM) and WAVELABS SINUS-3000 PRO, respectively. SEPIV's accuracy matched lab units and surpassed PVPM's. As a highlight of this study, the introduced setup can capture the \u0000<italic>I-V\u0000 curves of PV modules up to 650 W, a maximum \u0000<italic>V\u0000OC\u0000 of 60 V, and a maximum \u0000<italic>I\u0000SC\u0000 of 20 A. In contrast to commercial units, the SEPIV measurement does not depend on irradiation level. Moreover, it has the Internet of Things capability through a Wi-Fi connection for remote measurement.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":"14 6","pages":"951-959"},"PeriodicalIF":2.5,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142524163","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}

引用次数: 0

Editorial Editor-in-Chief Transition 编辑主编过渡

IF 1.3 1区化学

Accounts of Chemical Research Pub Date : 2024-10-25 DOI: 10.1109/TPS.2024.3412532

Edl Schamiloglu

引用次数: 0

IEEE Open Access Publishing IEEE 开放存取出版

IF 2.5

ACS Applied Bio Materials Pub Date : 2024-10-25 DOI: 10.1109/JPHOTOV.2024.3480752

引用次数: 0