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Review Cycle Records

WIRELESS NETWORKS

Springer 非OA 2026新锐 4区2025中科院 4区 已自动采集 最新完整样本 10 篇 平均 324.3 天

数据更新 2026-07-16 · 完整周期 10 篇 · 日期来源可逐条复核

WIRELESS NETWORKS已收录10篇完整论文周期样本,平均审稿324.3 天,中位审稿286 天。2025中科院4区,非OA,2025发文量179。页面含论文收到日期、录用日期、PDF、DOI和出版社网页溯源入口。

324.3平均天数
286中位天数
91最短天数
648最长天数
10最新论文
1792025发文量

Latest Papers

最新发表论文审稿周期

审稿天数=录用日期-收到日期;保留 PDF/DOI/网页源链接

126

Reliable optical transport framework for 5G URLLC communications

作者Harpreet Kaur; R. S. Kaler

作者单位1. Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology, Patiala, India

PDF源文件 DOI 网页
348

Differential-fed dual-polarized dipole antenna with ultra-wideband harmonic suppression for base-station applications

作者Hai Dang Le; Son Xuat Ta

作者单位1. School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam

PDF源文件 DOI 网页
224

Robust artificial noise for relay-enabled backscatter transmission systems with colluding eavesdroppers

作者Siyang Xu; Ze Fan; Zhixun Xiao; Xin Song

作者单位1. School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China; 2. Marine Ecological Restoration and Smart Ocean Engineering Research Center of Hebei Province, the 8th Geological Brigade of Hebei Bureau of Geology, Qinhuangdao, China; 3. Hebei Key Laboratory of Marine Perception Network and Data Processing, Northeastern University at Qinhuangdao, Qinhuangdao, China; 4. College of Computer Science and Engineering, Northeastern University, Shenyang, China; 5. Shijiazhuang Innovation Research Institute of Northeastern University, Northeastern University, Shijiazhuang, China

PDF源文件 DOI 网页
411

Advanced deep reinforcement learning techniques for dynamic resource allocation in 5G heterogeneous networks

作者G. Arul Dalton; A. Bamila Virgin Louis; P. Sankar; A. Ramachandran

作者单位1. Department of Computer Science and Engineering, Saveetha Engineering College, Chennai, India; 2. Department of Computer Science and Engineering, St. Xavier’s Catholic College of Engineering, Nagercoil, India

PDF源文件 DOI 网页
91

A transformer-XGBoost hybrid framework for multi-type DoS detection in 5G-V2X vehicular networks

作者Shiang-Jiun Chen; Wen-Bin Hsieh; Hsiang-Yu Tseng

作者单位1. Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan; 2. Department of Computer Science and Information Technology Engineering, National Chiayi University, Chiayi City, Taiwan

PDF源文件 DOI 网页
184

Application of dynamic adjustment strategy of map service resources combined with reinforcement learning in power supply network visualization

作者Zhu Meiying; Zheng Sida; Hu Hao

作者单位1. State Grid Jibei Electric Power Company Limited Center of Metrology, Beijing, China

PDF源文件 DOI 网页
538

An enhanced Q-learning enabled distributed queuing MAC (EQL-DQMAC) protocol for IoT networks

作者Atul Kumar Pandey; Abhishek Kumar

作者单位1. Department of Electronics and Communication Engineering, Birla Institute of Technology, Off Campus Patna, Patna, India

PDF源文件 DOI 网页
648

Optimized federated deep reinforcement learning with trust-aware blockchain security in underwater IoT networks

作者G. A. Senthil; R. Renuka Devi; R. Prabha; L. Sharmila

作者单位1. Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India; 2. School of Computer Science and Engineering, Vit University - Chennai Campus, Chennai, India; 3. Department of Electronics and Communication Engineering, Sri Sairam Institute of Technology, Chennai, India; 4. Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, India

PDF源文件 DOI 网页
200

Design and assessment of an innovative hybrid encryption model for safe cloud storage: an emphasis on performance

作者Bhagyashree Sunil Patil; Pooja Sapra

作者单位1. Department of Computer Science and Engineering, Parul University, Vadodara, India; 2. Associate Professor and Head of Department, Department of Information Technology, Parul University, Vadodara, India

PDF源文件 DOI 网页
473

Rad- \({2}^{2}\) Beetle: an enhanced lightweight hash function for resource-constrained environments in blockchain technology

作者V. Akshaya Keerthi; V. Vijayalakshmi

作者单位1. Department of Electronics and Communication Engineering, Puducherry Technological University, Puducherry, India

PDF源文件 DOI 网页