Advanced Algorithms in Wireless Communication and Internet of Things (IoT), 2nd Edition

Dear Colleagues,

The development of wireless communications and the Internet of Things have advanced considerably in recent years, opening the doors for a wide range of applications and services across many different industries. This advancement has posed significant challenges to the current Internet architecture, which has motivated researchers to revisit existing protocols and algorithms to develop new ones that suit the latest applications and services requirements. This Special Issue focuses on advanced wireless and Internet of Things (IoT) algorithms that improve the efficiency, reliability, performance, and security of wireless communications and IoT. 

This Special Issue aims to explore and disseminate the latest research in advanced algorithms used in wireless communication and IoT, such as machine learning algorithms for predictive analytics and anomaly detection, network optimization algorithms for efficient routing and resource allocation, and cryptographic algorithms for secure communication. Other important topics include channel estimation and equalization techniques for improving signal quality, modulation and coding schemes for reliable data transmission, and hybrid analog–digital beamforming algorithms for enhancing the efficiency of wireless communication. We accept research and review articles covering a diverse range of topics, including, but not limited to, the following:

1. Energy-efficient routing algorithms for IoT devices.
2. Machine learning-based anomaly detection and predictive maintenance in IoT networks.
3. Cryptographic algorithms for secure communication in IoT.
4. Hybrid analog–digital beamforming for efficient wireless communication.
5. Channel estimation and equalization techniques for improving signal quality.
6. Modulation and coding schemes for reliable data transmission in IoT.
7. Network optimization algorithms for efficient resource allocation in wireless networks and IoT.
8. Distributed algorithms for data processing in IoT networks.
9. Game theory-based approaches for wireless network resource allocation.
10. Multi-objective optimization for wireless communication in IoT.
11. Sensor data fusion and calibration.
12. Real-time data stream processing.

Dr. Farag M. Sallabi
Dr. Mohammad Hayajneh
Guest Editors

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