IET Wireless Sensor Systems最新文献_第4页

Quantum-Resistant Security in Digital Twin Healthcare Systems 数字孪生医疗系统中的抗量子安全

IF 2.4

IET Wireless Sensor Systems Pub Date : 2026-02-16 DOI: 10.1049/wss2.70022

Ahmed K. Jameil, Hamed Al-Raweshidy

{"title":"Quantum-Resistant Security in Digital Twin Healthcare Systems","authors":"Ahmed K. Jameil, Hamed Al-Raweshidy","doi":"10.1049/wss2.70022","DOIUrl":"https://doi.org/10.1049/wss2.70022","url":null,"abstract":"The development of digital twin (DT) systems for healthcare presents several challenges, particularly in ensuring data protection and communication security in real-time environments. The protection of patient information in the case of future quantum-powered attacks is one of the key issues, with traditional public-key cryptography tools being likely to be weakened in the context of the huge quantum computers. The objective of this research was to come up with a quantum-resistant security system to DT-based remote healthcare monitoring. With quantum-safe session key establishment with QKD or lattice-based postquantum interactions, along with symmetric authenticated encryption, secure far-edge, near-edge and cloud data transfer and processing was guaranteed. The results revealed a 40% reduction in latency, a 30% improvement in throughput and a 15% increase in system efficiency, demonstrating substantial enhancements in performance. The integration of quantum-resistant protocols provided robust protection without compromising system operation, achieving a 25.77% improvement in computational efficiency. The proposed framework significantly enhances the security, scalability and performance of remote healthcare systems, offering a future-proof solution against quantum computing threats.","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"16 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.70022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146680547","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}

引用次数: 0

A Depth-Distance Based Energy-Efficient and Energy-Balanced Routing Protocol for Underwater Wireless Sensor Networks 一种基于深度距离的水下无线传感器网络节能能量均衡路由协议

IF 2.4

IET Wireless Sensor Systems Pub Date : 2026-01-22 DOI: 10.1049/wss2.70021

O. O. Ogundile, A. A. Owoade, T. A. Aladeyelu, O. P. Babalola, I. E. Davidson

{"title":"A Depth-Distance Based Energy-Efficient and Energy-Balanced Routing Protocol for Underwater Wireless Sensor Networks","authors":"O. O. Ogundile, A. A. Owoade, T. A. Aladeyelu, O. P. Babalola, I. E. Davidson","doi":"10.1049/wss2.70021","DOIUrl":"https://doi.org/10.1049/wss2.70021","url":null,"abstract":"Underwater Wireless Sensor Networks (UWSNs) are pivotal for ocean monitoring, exploration, and surveillance, comprising sensor nodes with limited battery capacity that rely on acoustic communication and are deployed at the seabed, making battery recharging impractical. Despite the challenges in underwater communication, numerous routing protocols (RPs), such as Energy Balanced Efficient and Reliable Routing (EBER2) and Shifted Energy Efficiency and Priority (SHEEP), have been developed to optimise forwarding node selection and improve communication efficiency by incorporating parameters such as depth information (DI), transmission distance (TD), and residual energy (RE). However, designing energy-efficient (EE) and energy-balanced (EB) RPs for large-scale UWSNs remains an NP-hard problem due to the network's inherent complexity. This study introduces a Depth-Distance-based Energy-Efficient and Energy-Balanced (DDE2) routing protocol, which optimises energy consumption using TD, DI, RE, and additional parameters such as transmission range (TR). The DDE2 protocol extends network lifetime while meeting critical quality-of-service (QoS) requirements, including scalability and low latency, and outperforms recent state-of-the-art RPs in energy efficiency, network longevity, and overall QoS for UWSNs.","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"16 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.70021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146099277","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}

引用次数: 0

IF 2.4

IET Wireless Sensor Systems Pub Date : 2026-01-22

引用次数: 0

A Comprehensive Review of Using WSNs and Drones for Improving Crop Production in Precision Agriculture 无线传感器网络与无人机在精准农业作物生产中的应用综述

IF 2.4

IET Wireless Sensor Systems Pub Date : 2025-12-07 DOI: 10.1049/wss2.70019

Nada M. Khalil Al-Ani, Sadik Kamel Gharghan, Ziad Qais Al-Abbasi, Hasan Kahtan

{"title":"A Comprehensive Review of Using WSNs and Drones for Improving Crop Production in Precision Agriculture","authors":"Nada M. Khalil Al-Ani, Sadik Kamel Gharghan, Ziad Qais Al-Abbasi, Hasan Kahtan","doi":"10.1049/wss2.70019","DOIUrl":"10.1049/wss2.70019","url":null,"abstract":"Precision agriculture (PA) plays an essential role in resource use and crop yields while minimising environmental impact through data-driven farming techniques. The combination of unmanned aerial vehicles (UAVs), the Internet of Things (IoT) and wireless sensor networks (WSNs) has significantly transformed the current state of farming, enabling decisions based on data, predicting outcomes and precise control. This review presents the current developments, challenges and complementary advantages of these technologies to improve agricultural efficiency and sustainability in a comprehensive manner. The search timeframe of this search is 2019–2025. The analysis of the WSN-based systems begins with the analysis of sensing technologies, communication protocols (LoRa, Sigfox, Wi-Fi, Bluetooth, ZigBee, NB-IoT and RFID), sensor architecture, energy consumption and path-loss models, which affect the data transmission in an agricultural setting. It highlights the weaknesses of WSN deployment, such as power consumption and coverage. Second, the use of UAVs in crop monitoring, irrigation, pest detection and resource optimisation is reviewed with references to the incorporation of sensing and data analytics algorithms and the challenges associated with UAV use, such as the short flight duration and energy consumption. Third, IoT-based frameworks are researched in the context of their roles in the PA of real-time monitoring, automated controls and smart decision-making. The findings suggest that a network of WSNs, UAVs and the IoT can be used to enhance monitoring quality, data quality and resource utilisation by multiple orders of magnitude. However, such barriers as energy consumption, connectivity differences, complexity of data and costs will be topical. Overall, the WSN-UAV-IoT combo is a potentially fruitful direction that could assist PA to take a step forward in terms of productivity, sustainability and environmental friendliness.","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"15 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.70019","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145739656","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}

引用次数: 0

Hybrid Model-Based RF Fingerprinting and Spiking Neural Networks for IoT Device Classification 基于混合模型的射频指纹和峰值神经网络用于物联网设备分类

IF 2.4

IET Wireless Sensor Systems Pub Date : 2025-11-27 DOI: 10.1049/wss2.70018

Nadia Adnan Shiltagh Al-Jamali, Ahmed R. Zarzoor, Hamed S. Al-Raweshidy, Talib Mohammed Jawad Abbas

{"title":"Hybrid Model-Based RF Fingerprinting and Spiking Neural Networks for IoT Device Classification","authors":"Nadia Adnan Shiltagh Al-Jamali, Ahmed R. Zarzoor, Hamed S. Al-Raweshidy, Talib Mohammed Jawad Abbas","doi":"10.1049/wss2.70018","DOIUrl":"10.1049/wss2.70018","url":null,"abstract":"Radio frequency fingerprinting identification (RFFI) leverages the unique features of communication transmitter signals to classify Internet of Things (IoT) devices, enabling individual recognition through waveform analysis. Traditional RFFI methods face challenges in extracting nonlinear features, which machine learning (ML) techniques help overcome by providing advanced wave characteristic analysis. This study introduces RFFI-SCNN, a hybrid model integrating RFFI with a spiking conventional neural network (SCNN) to enhance IoT device authentication within networks. The model operates in two phases: signal processing, where wave data are collected and preprocessed, and SCNN-based classification, where features are extracted and devices are authenticated. The proposed model's performance is evaluated against three ML-based models—1SNN, 1CNN and DCNN—based on accuracy, execution time and memory usage. Experimental results, conducted using a publicly available dataset from the Institute for the Wireless Internet of Things at Northeastern University, indicate that RFFI-SCNN achieves superior accuracy in classifying communication devices compared to 1CNN and 1SNN while also requiring less memory and shorter execution time than DCNN and 1CNN. These findings highlight the effectiveness of RFFI-SCNN in secure and efficient IoT device identification.","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"15 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.70018","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145626323","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}

引用次数: 0

Soft Computing-Based Standard Mobile Sink and Data Fusion Technique for Maximising Lifetime of Rechargeable Wireless Sensor Networks 基于软计算的可充电无线传感器网络标准移动汇聚和数据融合技术

IF 2.4

IET Wireless Sensor Systems Pub Date : 2025-10-14 DOI: 10.1049/wss2.70012

Pankaj Chandra, Anurag Sinha, Anurag Singh, Santosh Kumar Singh, Shaik Moinuddin Ahmed, Saikat Gochhait, Maheswaran Shanmugam, Pethuru Raj, Kanti Verma, Ghanshyam Tejani, Saifullah Khalid

{"title":"Soft Computing-Based Standard Mobile Sink and Data Fusion Technique for Maximising Lifetime of Rechargeable Wireless Sensor Networks","authors":"Pankaj Chandra, Anurag Sinha, Anurag Singh, Santosh Kumar Singh, Shaik Moinuddin Ahmed, Saikat Gochhait, Maheswaran Shanmugam, Pethuru Raj, Kanti Verma, Ghanshyam Tejani, Saifullah Khalid","doi":"10.1049/wss2.70012","DOIUrl":"10.1049/wss2.70012","url":null,"abstract":"This paper proposes a hybrid framework for wireless sensor networks (WSNs) that enhances energy efficiency, data collection and sensor charging through a standard mobile sink (SMS) and a data fusion technique. The system incorporates rechargeable sensor nodes equipped with solar panels and an SMS that collects data while simultaneously recharging the sensors in the field. The proposed path optimisation and node utilisation using joint analysis (PANUJA) algorithm directs the SMS to gather fused data from cluster heads (CHs), which locally process the data using an ANN-based fusion method. To optimise network management, spectral clustering (SC) is employed for network partitioning, and Dijkstra's algorithm is used to determine the optimal anchor points and sink trajectories. Simulation results highlight significant improvements in energy efficiency, data transmission reliability and resilience to node failures. These advancements make the proposed approach well-suited for applications in smart cities and remote sensing. The framework also addresses limitations in traditional protocols such as low-energy adaptive clustering hierarchy (LEACH) and tree-based flooding technique (TBFT).","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"15 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.70012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145316914","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}

引用次数: 0

DFROG-MAC: A Dynamic Fragmentation-Based MAC for Prioritised Emergency Data Management in Vehicular Networks DFROG-MAC：一种基于动态分片的车辆网络应急数据优先管理MAC

IF 2.4

IET Wireless Sensor Systems Pub Date : 2025-10-10 DOI: 10.1049/wss2.70017

Anwar Ahmed Khan, Shama Siddiqui, Ahmad Sami Al-Shamayleh, Adnan Akhunzada, Indrakshi Dey

{"title":"DFROG-MAC: A Dynamic Fragmentation-Based MAC for Prioritised Emergency Data Management in Vehicular Networks","authors":"Anwar Ahmed Khan, Shama Siddiqui, Ahmad Sami Al-Shamayleh, Adnan Akhunzada, Indrakshi Dey","doi":"10.1049/wss2.70017","DOIUrl":"10.1049/wss2.70017","url":null,"abstract":"The rapid advancements in vehicular ad hoc networks (VANETs) call for development of effective networking schemes. Managing heterogenous traffic in VANETs becomes a critical challenge, especially when dealing with critical scenarios. In this paper, we present a novel dynamic fragmentation-based MAC protocol, DFROG-MAC for Internet of Things (IoT) applications in VANET environment. This protocol is focused on facilitating prioritised heterogenous traffic in sensor networks and hence, can offer a distinguished quality of service for various application areas such as vehicular, industrial or body sensor networks. DFROG-MAC deploys fragmentation scheme for low priority data, so the high priority data may interrupt and access channel without needing to wait for the complete transmission of lower priority data. The fragment size for the lower priority data is dynamically adjusted at the runtime based on the frequency of urgent traffic arrival. This dynamic approach helps to ensure that the channel does not remain idle, and lower priority traffic could be served quickly, in the absence of urgent traffic. Two types of traffic priorities, normal and urgent have been used for performance evaluation of FROG-MAC and DFROG-MAC, over Contiki platform, with the scope of this study focused on vehicle-to-infrastructure (V2I) single-hop communication. The delay and throughput both have been found to improve for DFROG-MAC due to the possibility of dynamic fragment size selection.","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"15 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.70017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272644","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}

引用次数: 0

Multivariate Lifetime Prediction Model for Energy Efficient Region-Based Wireless Sensor Network 基于区域的高能效无线传感器网络多变量寿命预测模型

IF 2.4

IET Wireless Sensor Systems Pub Date : 2025-08-17 DOI: 10.1049/wss2.70015

Vipul Narayan, Swapnita Srivastava, Vikash Kumar Mishra, Mohammad Faiz, Shilpi Sharma, Vipin Balyan, Gunjan Gupta

{"title":"Multivariate Lifetime Prediction Model for Energy Efficient Region-Based Wireless Sensor Network","authors":"Vipul Narayan, Swapnita Srivastava, Vikash Kumar Mishra, Mohammad Faiz, Shilpi Sharma, Vipin Balyan, Gunjan Gupta","doi":"10.1049/wss2.70015","DOIUrl":"10.1049/wss2.70015","url":null,"abstract":"In wireless sensor networks (WSNs), optimising energy efficiency while maintaining coverage and managing resource constraints remains a critical challenge. This paper introduces a novel Region-Based Multilevel Energy Efficiency Protocol (RBMEEP), which innovatively partitions the network into regions and sub-regions to enhance energy utilisation through optimised clustering and communication with the base station (BS). Unlike conventional protocols, RBMEEP significantly extends network lifetime, outperforming the Stable Election Protocol (SEP). The novelty lies in the integration of a Regression Prediction Model (RPM), which accurately predicts network lifetime based on node density and packet size. Simulation results demonstrate the model's high prediction accuracy, with up to 99.94% in smaller network areas and 99.87% in larger areas. This predictive capability allows for adaptable and efficient WSN design, tailored to specific user requirements. The proposed approach presents a significant advancement in extending the operational life of WSNs, offering a robust solution for energy and coverage optimisation. This work not only improves the theoretical understanding of WSN energy efficiency but also provides a practical framework that can be deployed in real-world scenarios.","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"15 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.70015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144861719","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}

引用次数: 0

Optimising Internet of Things (IoT) Performance Through Cloud, Fog and Edge Computing Architecture 通过云、雾和边缘计算架构优化物联网（IoT）性能

IF 2.4

IET Wireless Sensor Systems Pub Date : 2025-08-15 DOI: 10.1049/wss2.70016

Shams Forruque Ahmed, Shanjana Shuravi Shawon, Shaila Afrin, Sabiha Jannat Rafa, Mahfara Hoque, Amir H. Gandomi

{"title":"Optimising Internet of Things (IoT) Performance Through Cloud, Fog and Edge Computing Architecture","authors":"Shams Forruque Ahmed, Shanjana Shuravi Shawon, Shaila Afrin, Sabiha Jannat Rafa, Mahfara Hoque, Amir H. Gandomi","doi":"10.1049/wss2.70016","DOIUrl":"10.1049/wss2.70016","url":null,"abstract":"The Internet of Things (IoT) revolutionises communication systems and enables transformative applications across diverse domains. However, existing reviews often focus on integrating IoT with only one or two computing paradigms—cloud, fog, or edge computing—overlooking the holistic synergy of these architectures. This review bridges that gap by providing a comprehensive analysis of IoT integration with all three paradigms, emphasising their collective potential to address the challenges of scalability, latency, and computational efficiency. The findings highlight that cloud computing ensures scalable storage and processing but struggles with latency-sensitive IoT applications. Fog computing reduces latency by processing data near the network edge, achieving up to a 40% improvement in response times for real-time applications. Edge computing complements this by ensuring immediate data handling, reducing transmission delays by approximately 30% compared to cloud-centric models. Despite these advances, challenges persist, including high energy consumption, security vulnerabilities, and the complexity of managing dynamic workflows across architectures. This review provides actionable recommendations for future research, including the development of energy-efficient algorithms, robust security protocols, and adaptive frameworks for seamless integration. These directions are vital for advancing IoT as an indispensable component of the future Internet, fostering smarter and more connected systems across industries.","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"15 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.70016","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144853686","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}

引用次数: 0

Secured Clustered Wireless Sensor Network Using Ensemble Hamming Code and Quadratic Residue and Nonresidue Properties 基于集成汉明码和二次残馀与非残馀性质的安全聚类无线传感器网络

IF 2.4

IET Wireless Sensor Systems Pub Date : 2025-07-16 DOI: 10.1049/wss2.70014

Olayinka O. Ogundile, Oluwaseyi P. Babalola, Innocent E. Davidson

{"title":"Secured Clustered Wireless Sensor Network Using Ensemble Hamming Code and Quadratic Residue and Nonresidue Properties","authors":"Olayinka O. Ogundile, Oluwaseyi P. Babalola, Innocent E. Davidson","doi":"10.1049/wss2.70014","DOIUrl":"10.1049/wss2.70014","url":null,"abstract":"Wireless sensor networks (WSNs) are increasingly used in critical sectors such as defence, healthcare and environmental monitoring. These networks rely on small resource-constrained sensor nodes that communicate wirelessly, making them vulnerable to security threats. Although cryptographic methods, time synchronisation and error-correcting codes (ECCs) offer some protection, they often struggle with the computational and energy limitations of sensor nodes. Among ECCs, Hamming codes combined with quadratic residue (H-QR) techniques have shown promise in enhancing network security and improving performance metrics such as packet delivery ratio (PDR) and throughput (TP). However, existing H-QR implementations are limited in scalability, supporting only small networks with up to 15 nodes. To address this limitation, this study introduces an enhanced security architecture for clustered WSNs using Hamming codes with quadratic residue and nonresidue (H-QRN) properties. The proposed H-QRN scheme supports an arbitrary number of sensor nodes, making it suitable for large-scale and diverse industrial applications. Simulation results demonstrate that H-QRN significantly improves PDR and TP over traditional H-QR methods while maintaining similar end-to-end delay (E2E) and control overhead (CO). This work offers a scalable and efficient security solution for WSNs and provides practical insights for selecting security protocols tailored to specific application requirements.","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"15 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.70014","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144647406","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}

引用次数: 0