Sensor Networks and Applications
Sensor networks are becoming increasingly available for a broad range of applications such as environmental monitoring, industrial sensing and diagnostics, medical applications, smart transportation, and critical infrastructure protection. Sensor networks is an interdisciplinary research area, which spans the areas of signal processing/detection/estimation, networking and protocols, embedded systems, data management, as well as distributed algorithms. It opens up new research venues, which include sensor tasking and control, tracking and localization, sensor data fusion, communication protocols that address timeliness, network coverage, connectivity, and capacity, programming paradigms, embedded operating systems and middleware, as well as system/software architecture and design methodologies. Moreover, all these issues have to consider many cross-cutting requirements such as efficiency/cost tradeoffs, robustness, self-organization, fault-tolerance, scalability, and network longevity.
This special track calls for papers that highlight technical issues from physical device design, signal processing, network protocols/algorithms, to revolutionary new applications enabled by sensor network technology. We are seeking contributions in all aspects of sensor networks. Of particular interest are papers that deal with system implementation, experimentation, and experiences on sensor network platforms and applications. Example topical areas of interests include, but are not limited to:
- Sensor network applications and deployment experiences
- Sensor network architectures
- Programming abstractions and systems
- Wide-area sensing services
- Detection, classification, and estimation
- Distributed networked sensing and control
- Data compression, association, aggregation, and fusion
- Network protocols
- Power management
- Localization, tracking, and time synchronization
- Query processing and optimization
- Security and privacy
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