Международный журнал сенсорных сетей и передачи данных

Underwater Acoustic Sensor Networks (UASNs) have emerged as crucial tools for a wide range of marine applications, including environmental monitoring, underwater exploration, and military surveillance. However, efficient data transmission in UASNs is challenged by factors such as limited bandwidth, high latency, and dynamic underwater environments. This report explores a novel and optimized efficient transmission method using dynamic routing techniques tailored for UASNs. By analyzing the unique characteristics and challenges of underwater communication, we provide insights into the design and implementation of dynamic routing protocols that enhance data transmission efficiency.

Precision agriculture leverages advanced technologies to optimize agricultural practices, improve crop yields and ensure sustainable farming. Wireless Sensor Networks (WSNs) play a pivotal role in precision agriculture by providing real-time monitoring and data collection. This review focuses on the implementation of NPK (Nitrogen, Phosphorus and Potassium) sensors within WSNs for precision agriculture. It explores the fundamental principles of WSNs, the importance of NPK in crop health, the various types of NPK sensors used, their integration into WSNs and the benefits and challenges associated with their use.

The increasing concern for the safety of Vulnerable Road Users (VRUs) such as pedestrians, cyclists, and motorcyclists has led to the development of various detection and protection systems. This review explores an enhanced detection system for VRUs that leverages infrastructure-sensorenabled devices. The system integrates advanced sensor technologies, communication networks, and data analytics to provide real-time detection and warning mechanisms. This article covers the fundamental principles of VRU detection, the types of infrastructure sensors used, the architecture of the detection system, and the benefits and challenges associated with its implementation.

This review explores a novel voltage sensorless estimation method for Modular Multilevel Converters (MMCs) utilizing a Model Predictive Control (MPC) strategy. The approach aims to enhance the efficiency and reliability of MMCs, which are crucial in High-Voltage Direct Current (HVDC) transmission systems and renewable energy applications. By eliminating the need for voltage sensors, the proposed method reduces system complexity and cost while maintaining high performance. This article delves into the principles of MMCs, the challenges associated with voltage sensing, the fundamentals of MPC and the innovative aspects of the sensorless estimation method.