Applications and Perspectives of Real-Time Data Collection in Sensor Networks
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 20 October 2025 | Viewed by 117
Special Issue Editor
Interests: IoT; big data; WSN; reinforcement learning; computer vision; medical imaging
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Real-time data collection in sensor networks is a crucial aspect of modern intelligent systems, enabling advanced decision-making, automation, and monitoring across domains such as healthcare, smart cities, industrial automation, and environmental surveillance. As sensor technologies and edge computing continue to evolve, there is a growing need for novel methodologies, frameworks, and architectures to enhance the efficiency, accuracy, and scalability of real-time data collection and processing.
This Special Issue aims to present state-of-the-art research on real-time data collection in sensor networks, highlighting emerging technologies, innovative applications, and future perspectives. It will cover key topics including, but not limited to, the following:
- Advanced sensor network architectures for real-time data collection;
- Edge and fog computing techniques for efficient data aggregation;
- AI-driven data processing and decision-making in sensor networks;
- Energy-efficient protocols and low-power communication in real-time applications;
- Data compression and transmission strategies for high-speed sensing networks;
- The integration of IoT and cloud computing for real-time sensor analytics;
- Security and privacy challenges in real-time data collection;
- Real-world case studies and industrial applications of real-time sensor networks;
- Machine learning and deep learning approaches for real-time data analysis;
- Emerging trends in multimodal sensor data fusion;
- Applications in healthcare, environmental monitoring, and smart cities.
This Special Issue will serve as a valuable platform for researchers, industry professionals, and academics to present their latest findings and foster collaborations on cutting-edge developments in real-time sensor networks.
Dr. Shabir Ahmad
Guest Editor
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Keywords
- real-time data collection
- sensor networks
- edge and fog computing
- AI-driven sensing
- IoT-based real-time monitoring
- security and privacy in sensor networks
- energy-efficient data transmission
- machine learning for sensor data analysis
- multimodal sensor fusion
- smart cities and industrial applications
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