8 March 2023
Sensors | Top 10 Cited Papers in 2021 in the Section “Internet of Things”
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Original Submission Date Received: .
1. “IoT and Interpretable Machine learning based Framework for Disease Prediction in Pearl Millet”
by Nidhi Kundu, Geeta Rani, Vijaypal Singh Dhaka, Kalpit Gupta, Siddaiah Chandra Nayak, Sahil Verma, Muhammad Fazal Ijaz and Marcin Woźniak
Sensors 2021, 21(16), 5386; https://doi.org/10.3390/s21165386
Available online: https://www.mdpi.com/1424-8220/21/16/5386
2. “Enabling Technologies for Urban Smart Mobility: Recent Trends, Opportunities and Challenges”
by Sara Paiva, Mohd Abdul Ahad, Gautami Tripathi, Noushaba Feroz and Gabriella Casalino
Sensors 2021, 21(6), 2143; https://doi.org/10.3390/s21062143
Available online: https://www.mdpi.com/1424-8220/21/6/2143
3. “Internet of Things: Evolution, Concerns and Security Challenges”
by Parushi Malhotra, Yashwant Singh, Pooja Anand, Deep Kumar Bangotra, Pradeep Kumar Singh and Wei-Chiang Hong
Sensors 2021, 21(5), 1809; https://doi.org/10.3390/s21051809
Available online: https://www.mdpi.com/1424-8220/21/5/1809
4. “Deep Reinforcement Learning-Based Task Scheduling in IoT Edge Computing”
by Shuran Sheng, Peng Chen, Zhimin Chen, Lenan Wu and Yuxuan Yao
Sensors 2021, 21(5), 1666; https://doi.org/10.3390/s21051666
Available online: https://www.mdpi.com/1424-8220/21/5/1666
5. “A Blockchain-Based Trust Model for the Internet of Things Supply Chain Management”
by Mabrook S. Al-Rakhami and Majed Al-Mashari
Sensors 2021, 21(5), 1759; https://doi.org/10.3390/s21051759
Available online: https://www.mdpi.com/1424-8220/21/5/1759
6. “Advanced Feature Extraction and Selection Approach Using Deep Learning and Aquila Optimizer for IoT Intrusion Detection System”
by Abdulaziz Fatani, Abdelghani Dahou, Mohammed A. A. Al-qaness, Songfeng Lu and Mohamed Abd Elaziz
Sensors 2022, 22(1), 140; https://doi.org/10.3390/s22010140
Available online: https://www.mdpi.com/1424-8220/22/1/140
7. “UTM-Chain: Blockchain-Based Secure Unmanned Traffic Management for Internet of Drones”
by Azza Allouch, Omar Cheikhrouhou, Anis Koubâa, Khalifa Toumi, Mohamed Khalgui and Tuan Nguyen Gia
Sensors 2021, 21(9), 3049; https://doi.org/10.3390/s21093049
Available online: https://www.mdpi.com/1424-8220/21/9/3049
8. “Monitoring Soil and Ambient Parameters in the IoT Precision Agriculture Scenario: An Original Modeling Approach Dedicated to Low-Cost Soil Water Content Sensors”
by Pisana Placidi, Renato Morbidelli, Diego Fortunati, Nicola Papini, Francesco Gobbi and Andrea Scorzoni
Sensors 2021, 21(15), 5110; https://doi.org/10.3390/s21155110
Available online: https://www.mdpi.com/1424-8220/21/15/5110
9. “Sequential Model Based Intrusion Detection System for IoT Servers Using Deep Learning Methods”
by Ming Zhong, Yajin Zhou and Gang Chen
Sensors 2021, 21(4), 1113; https://doi.org/10.3390/s21041113
Available online: https://www.mdpi.com/1424-8220/21/4/1113
10. “SMOTE-DRNN: A Deep Learning Algorithm for Botnet Detection in the Internet-of-Things Networks”
by Segun I. Popoola, Bamidele Adebisi, Ruth Ande, Mohammad Hammoudeh, Kelvin Anoh and Aderemi A. Atayero
Sensors 2021, 21(9), 2985; https://doi.org/10.3390/s21092985
Available online: https://www.mdpi.com/1424-8220/21/9/2985