Focus and Scope

International Journal of Distributed Sensor Networks is a medium for exchanging information regarding the impact of distributed sensor network research. This journal provides a forum for the publication of research that contributes to the development of high-performance computing solutions for addressing the complexities inherent in sensor network systems.

Published articles highlight advancements in the use of distributed sensor network systems to solve computational problems in fields such as manufacturing, engineering, and environmental systems.

Topics of interest include:

• Architecture, Algorithms, and Complexity Issues

• Distributed Sensor Network Tasking and Self-Organization

• Information Fusion Methodologies Based on Statistical Decision Theory

• Distributed Detection and Classification Methods

• Networking and Caching Issues in Distributed Sensor Networks

• Managing Resource Constraints

• Learning Patterns from Distributed Sensor Sources

• Coordination, Integration, and Synchronization in Distributed Sensor Networks

• Applications in Biology, Manufacturing, Medical Science, and Engineering

Readership:

The journal targets researchers and professionals in robotics, artificial intelligence, signal processing, computer science, engineering, mathematics, and medical sciences; including R&D personnel, consultants, hardware and software vendors, as well as academics in engineering, computer science, industrial engineering, mathematics, and management science.