Minimizing the Number of Mobile Chargers to Keep Large-Scale WRSNs Working Perpetually by Cheng Hu, Yun Wang

“…Wireless Rechargeable Sensor Networks, in which mobile chargers ( M C s) are employed to recharge the sensor nodes, have attracted wide attention in recent years. …”
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Connected and automated vehicle control at unsignalized intersection based on deep reinforcement learning in vehicle-to-infrastructure environment by Juan Chen, Vijayan Sugumaran, Peiyan Qu

“…In order to reduce the number of vehicle collisions and average travel time when vehicles pass through an unsignalized intersection with connected and automated vehicle, an improved Double Dueling Deep Q Network method with Convolutional Neutral Network and Long Short-Term Memory is presented in this article. …”
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Hybrid traffic prediction scheme for intelligent transportation systems based on historical and real-time data by Jiaming Xie, Yi-King Choi

“…The training of neural network enables the artificial neural network to weight between real-time traffic data and traffic patterns revealed by historical traffic data. …”
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Design of smart agriculture based on big data and Internet of things by Chunling Li, Ben Niu

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An Improved Directional Broadcast Algorithm Based on Brownian Motion by Shibao Li, Linlin Lou, Yu Wang, Lu Sun, Li Hong

“…Several broadcast algorithms have been developed in recent years. However, the problem of reducing routing overhead in ad hoc networks is always to be concerned. …”
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Optimal Management of Rechargeable Biosensors in Temperature-Sensitive Environments by Yahya Osais, F. Richard Yu, Marc St-Hilaire

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EasiND: Neighbor Discovery in Duty-Cycled Asynchronous Multichannel Mobile WSNs by Tingpei Huang, Haiming Chen, Li Cui, Yuqing Zhang

“…Meanwhile, test-bed evaluation results show that EasiND decreases average discovery latency by up to 86% compared to U-Connect and achieves at least 93.5% average fraction of discoveries in a predefined time limitation under various network conditions.…”
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The robustness of popular multiclass machine learning models against poisoning attacks: Lessons and insights by Majdi Maabreh, Arwa Maabreh, Basheer Qolomany, Ala Al-Fuqaha

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Thermal-aware resource allocation in earliest deadline first using fluid scheduling by Muhammad Naeem Shehzad, Qaisar Bashir, Ghufran Ahmad, Adeel Anjum, Muhammad Naeem Awais, Umar Manzoor, Zeeshan Azmat Shaikh, Muhammad A Balubaid, Tanzila Saba

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System load trend prediction method based on IF-EMD-LSTM by Jing Yu, Feng Ding, Chenghao Guo, Yabin Wang

“…First, considering the problem of noise and abnormal points in the original data, the isolated forest algorithm is used to eliminate the abnormal points in the data. …”
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User-Independent Activity Recognition via Three-Stage GA-Based Feature Selection by Theresia Ratih Dewi Saputri, Adil Mehmood Khan, Seok-Won Lee

“…This work presents a solution to this problem. The proposed system uses simple time domain features with a single neural network and a three-stage genetic algorithm-based feature selection method for accurate user-independent activity recognition. …”
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Minimum-latency data aggregation scheduling based on multi-path routing structures under physical interference model by Wenbin Liu, Bo Yang, Zhili Chen

“…Minimum-Latency Aggregation Scheduling is a significant problem in wireless sensor networks. The key challenge is to find an effective solution to aggregate data from all sensors to the sink with minimum aggregation latency. …”
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Tracking maneuver target using interacting multiple model-square root cubature Kalman filter based on range rate measurement by Hongqiang Liu, Zhongliang Zhou, Haiyan Yang

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The Hybrid Taguchi-Genetic Algorithm for Mobile Location by Chien-Sheng Chen, Jium-Ming Lin, Chin-Tan Lee, Chyuan-Der Lu

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Partial image encryption using format-preserving encryption in image processing systems for Internet of things environment by Wonyoung Jang, Sun-Young Lee

“…The proposed method encrypts private information without increasing the data size, solving the problem of wasted storage space. Furthermore, using the proposed method, specific sections of encrypted images can be decrypted and recognized before decryption of the entire information, which addresses the problems besetting traditional privacy masking and image encryption methods. …”
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A smart Internet of Things–based mechanism for wireless communications in NoC by Tao Chi, Manman Chen, Ming Chen, Haowei Yan

“…This article solves the problem of wireless co-channel mutual interference from the two aspects of time domain and frequency domain and designs a heterogeneous platform based on NoC architecture to achieve more stable parallel communication of multiple wireless co-frequency networks without mutual interference. …”
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Analytical solution for one-dimensional consolidation of double-layered soil with exponentially time-growing drainage boundary by Wenbing Wu, Mengfan Zong, M Hesham El Naggar, Guoxiong Mei, Rongzhu Liang

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Unreliable communication in high-performance distributed multi-agent systems: A ingenious scheme in high computing by Ali Mustafa, Muhammad Najam ul Islam, Salman Ahmed, Muhammad Ahsan Tufail

“…In this research, it has been investigated to device a novel design of distributed estimation algorithm which can tackle the problem of unreliable communication among multi-agents to achieve consensus on the average value of their initial values and must be capable of computing the total number of agents in the system under dynamically changing interaction topologies. …”
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Charging Between PADs: Periodic Charging Scheduling in the UAV-Based WRSN With PADs by Zirui Zhao, Tingdan Deng, Yixuan Liu, Feng Lin

“…Wireless rechargeable sensor network (WRSN) has become the most effective solution to the energy problem in wireless sensor networks (WSNs) by introducing mobile chargers (MCs) to replenish energy for energy-starved sensor nodes. …”
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Predictive analytics framework for accurate estimation of child mortality rates for Internet of Things enabled smart healthcare systems by Muhammad Islam, Muhammad Usman, Azhar Mahmood, Aaqif Afzaal Abbasi, Oh-Young Song

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