Efficient AM Algorithms for Stochastic ML Estimation of DOA by Haihua Chen, Shibao Li, Jianhang Liu, Yiqing Zhou, Masakiyo Suzuki

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A Deep Q-Learning Algorithm With Guaranteed Convergence for Distributed and Uncoordinated Operation of Cognitive Radios by Ankita Tondwalkar, Andres Kwasinski

“…The key challenge that is addressed in this work is that of a non-stationary reinforcement learning environment that arises from the uncoordinated and distributed radios operation over a shared wireless environment. This challenge is illustrated by presenting a simulation result where the use of a standard single-agent deep reinforcement learning approach does not achieve convergence because of being applied in the uncoordinated interacting multi-radio scenario. …”
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Vehicle Information Influence Degree Screening Method Based on GEP Optimized RBF Neural Network by Jingfeng Yang, Nanfeng Zhang, Ming Li, Yanwei Zheng, Li Wang, Yong Li, Ji Yang, Yifei Xiang, Lufeng Luo

“…To solve the problem for a large number of data transmissions in an actual operation, wireless transmission is proposed for text information (including position information) on the basis of the principles of the maximum entropy probability and the neural network prediction model combined with the optimization of the Huffman encoding algorithm, from the exchange of data to the entire data extraction process. …”
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Enhancing security and efficiency in Mobile Ad Hoc Networks using a hybrid deep learning model for flooding attack detection by Pramodh Krishna D., E. Sandhya, Khaja Shareef Sk, Srihari Varma Mantena, Venkata Subbaiah Desanamukula, Ch Koteswararao, Srinivasa Rao Vemula, Maruthi Vemula

“…Abstract Mobile Ad Hoc Networks (MANETs) are increasingly replacing conventional communication systems due to their decentralized and dynamic nature. However, their wireless architecture makes them highly vulnerable to flooding attacks, which can disrupt communication, deplete energy resources, and degrade network performance. …”
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A Smart Machine Learning Model for the Detection of Brain Hemorrhage Diagnosis Based Internet of Things in Smart Cities by Hang Chen, Sulaiman Khan, Bo Kou, Shah Nazir, Wei Liu, Anwar Hussain

“…This evolutionary field is mainly lead by wireless sensor network, radio frequency identification, and smart mobile technologies. …”
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A Real-Time Data Monitoring Framework for Predictive Maintenance Based on the Internet of Things by Mudita Uppal, Deepali Gupta, Nitin Goyal, Agbotiname Lucky Imoize, Arun Kumar, Stephen Ojo, Subhendu Kumar Pani, Yongsung Kim, Jaeun Choi

“…Some of the limitations of the existing office automation system are an unfriendly user interface, lack of IoT technology, high cost, or restricted range of wireless transmission. Therefore, this paper presents the design and fabrication of an IoT-based office automation system with a user-friendly smartphone interface. …”
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A Reconfigurable WiMAX Antenna for Directional and Broadside Application by M. Jusoh, M. F. Jamlos, M. R. Kamarudin, T. Sabapathy

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Electrically-Tunable Ceramic-Waveguide Filter by Di Lu, Baoqi Zhu, Ming Yu

“…Ceramic waveguide filters have been popular in 5G wireless system applications. This article proposes an effective solution to enable the ceramic waveguide filter to be electrically tunable. …”
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New Benchmarking Methodology and Programming Model for Big Data Processing by Anton Kos, Sašo Tomažič, Jakob Salom, Nemanja Trifunovic, Mateo Valero, Veljko Milutinovic

“…The integration of big data producing technologies, such as wireless sensor networks, Internet of Things, and cloud computing, into cyber-physical systems is reducing the available time to find the appropriate solutions. …”
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Low-Power On-Chip Energy Harvesting: From Interface Circuits Perspective by Shuang Song, Dehong Wang, Mengyu Li, Siyao Cao, Feijun Zheng, Kai Huang, Zhichao Tan, Sijun Du, Menglian Zhao

“…Multiple parameter environment monitoring via wireless Internet of Thing sensors is growing rapidly, thanks to low power techniques of the node. …”
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Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies Detection by L. Meziou, A. Histace, F. Precioso, O. Romain, X. Dray, B. Granado, B. J. Matuszewski

“…Videoendoscopy is currently the “gold standard” technique for diagnosis of different pathologies of the intestinal tract. Wireless capsule endoscopy (WCE) has been developed in the 1990s as an alternative to videoendoscopy to allow direct examination of the gastrointestinal tract without any need for sedation. …”
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Enhanced group communication in constrained application protocol–based Internet-of-things networks by Hyung-Woo Kang, Seok-Joo Koh

“…The existing multicast-based group communication may be efficient, but not reliable in wireless sensor networks. The existing unicast-based group communication is reliable, but it tends to give low performance. …”
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In-depth study of lightweight block ciphers: Performance assessment and implementation on sensor motes by Amal Hkiri, Mouna Karmani, Fawaz Hasan Alasmary, Omar Ben Bahri, Ahmed Mohammed Murayr, Mohsen Machhout

“…In the rapidly evolving landscape of the Internet of Things (IoT) and Wireless Sensor Networks (WSN), the need for secure and efficient data transmission is paramount. …”
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Electromagnetic signal modulation recognition technology based on lightweight deep neural network by Sicheng ZHANG, Yun LIN, Ya TU, Shiwen Mao

“…In response to the trend that in the 6th generation wireless (6G) era,mobile communications and artificial intelligence will be closely integrated,and a huge number of edge intelligent signal processing nodes will be deployed,an efficient and intelligent electromagnetic signal recognition model was proposed,which could be deployed on resource-constrained edge devices.The constellation diagram of electromagnetic signal was firstly drawn to visualize electromagnetic signal as a two-dimensional image,and color the constellation diagram according to the normalized point density to achieve feature enhancement.Then,a binary deep neural network was adopted to recognize the colored constellation diagrams.It was shown that the approach can guarantee a high recognition accuracy,which significantly reduced the model storage and calculation costs.For verification,the proposed approach was applied to the problem of electromagnetic signal modulation recognition.The experiment uses eight commonly used digital modulation signals and selects additive white Gaussian noise as the channel environment.The experimental results show that the scheme can achieve a comprehensive recognition rate of 96.1% under the noise condition of -6～6 dB,while the size of the network model is only 166 KB.Further,the execution time,when executed on a Raspberry Pi 4B,is only 290 ms.Compared to a full-precision network of the same scale,the accuracy is increased by 0.6%,the model is reduced to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mtext>1</mtext> <mrow> <mtext>26</mtext><mo>.…”
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The role of 5G in enhancing IOT connectivity: a systematic review on applications, challenges, and future prospects by Shankha Goswami, Surajit Mondal

“…Through IoT, sectors such as healthcare, manufacturing, transportation, and smart cities have been able to deploy interconnected devices that monitor, analyze, and automate tasks, creating a more responsive and data-driven operational environment. However, existing wireless communication networks, particularly 4G LTE, have presented limitations in terms of speed, latency, and connectivity that have hindered the full potential of IoT applications. …”
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Secured Routing Protocol for Improving the Energy Efficiency in WSN Applications by Y. P. Makimaa, R. Sudarmani

“…A staggering number of applications rely on the network architecture to carry out their tasks, which has led to a fast growth in wireless sensor networks (WSN). The possibility of harmful activity and data theft is growing as a result of the growth in devices and data. …”
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Performance Analysis of 3D Massive MIMO Cellular Systems with Collaborative Base Station by Xingwang Li, Lihua Li, Ling Xie, Xin Su, Ping Zhang

“…Massive MIMO have drawn considerable attention as they enable significant capacity and coverage improvement in wireless cellular network. However, pilot contamination is a great challenge in massive MIMO systems. …”
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Integrated Sensing and Communication Target Detection Framework and Waveform Design Method Based on Information Theory by Qilong Miao, Xiaofeng Shen, Chenfei Xie, Yong Gao, Lu Chen

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Machine Learning Applications in Energy Harvesting Internet of Things Networks: A Review by Olumide Alamu, Thomas O. Olwal, Emmanuel M. Migabo

“…However, the intermittent characteristics of green energy sources and wireless fading channels pose another challenge, as the quality of service in IoT networks revolves around the available energy and channel conditions. …”
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Reliability Evaluation for LTE Based CBTC Train Ground Communication Systems by Shuo Wang, Li Zhu, Kun Xu, Lin Zhang, Xuan Wang

“…Nowadays, most communication based train control systems (CBTC) use Wireless Local Networks (WLAN) technology for information transmission. …”
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