Journal Information
International Journal of Distributed Sensor Networks (IJDSN)
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Call For Papers
The International Journal of Distributed Sensor Networks focuses on applied research and applications of sensor networks. A large number of important applications depend on sensor networks interfacing with the real world. These applications include medical, military, manufacturing, transportation, safety and environmental planning systems. Many have been difficult to realize because of problems involved with inputting data from sensors directly in to automated systems. Sensor fusion in the context of distributed sensor networks has emerged as the method of choice for resolving these problems.

This journal also acts as a medium for exchanging ideas and thoughts about impacts of sensor networks research. More importantly the goal of this journal is to provide a forum for the publication of important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems.

The topics of interest include but are not limited to:

Architecture, Algorithms and Complexity Issues
Sensor Network Tasking and Self-Organization
Information Fusion Methods and Architectures for Sensor Networks
Detection / Classification Methods
Distributed Sensor Networks - Networking / Caching Issues
Managing Resource Constraints
In-Network Query Processing and Data Storage
Learning Patterns from Sensor Sources
Localization and Synchronization in Sensor Networks
Mobility and Task Coordination
Cooperative Signal Algorithms for Sensor Networks
Performance Evaluation of Sensor Networks
Theoretical Bounds and Optimization of Sensor Networks
Underwater and Underground Sensor Networks
Applications in Biology, Manufacturing, Medical Science and Engineering
Last updated by Dou Sun in 2019-09-28
Special Issues
Special Issue on Intelligent IoT - Artificial Intelligence for Future Internet of Things
Submission Date: 2020-02-29

Artificial intelligence (AI) is playing a growing role in Internet of Things (IoT) applications and deployments. On one hand, the IoT world is getting smarter and smarter. AI is being incorporated in diverse IoT applications, improving operational efficiency and helping avoid unplanned downtime. On the other hand, in order to fully exploit the capabilities and benefits brought by AI and IoT, both academia and industry are facing unprecedented technical challenges. These include storing, processing, and mining huge amounts of data from IoT based systems, security and privacy of the ubiquitous IoT devices, new protocols and algorithms for smart sensing and data transmission, and novel intelligent hardware platforms or software frameworks. This Special Collection aims to bring researchers from academia and industry together to explore the opportunities of AI for future IoT and gather results from recent research activities in advancing artificial intelligence technologies as well as studying the feasibility of problem solving. Intelligent sensing and data collection technologies for future IoT Intelligent data transmission protocols for future IoT Intelligent storing, processing, mining and analyzing technologies for future IoT big data Intelligent swarm algorithms for future IoT Intelligent hardware platform and software framework for future IoT AI-based technologies for edge computing of future IoT AI-based technologies for security and privacy of future IoT AI-based cross-layer solutions for future IoT AI-based optimization solutions for future IoT AI-based technologies for measurement and management of future IoT AI-based technologies, protocols and applications for smart cities, smart homes, smart health, and industrial IoT
Last updated by Dou Sun in 2019-09-28
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