International Conference on Information Processing in Sensor Networks (IPSN)

Theoretical and practical discussion of advances in sensor network research and applications

From the conference website

The Information Processing (IP) track focuses on algorithms, systems, theory for information processing using networks of embedded sensors. Topics covered in this track include:

• Data processing, storage and management
• Detection, classification, and tracking
• Distributed algorithms and reasoning
• Distributed and collaborative signal processing
• Location, time, and other network services
• Network health monitoring and management
• Network protocols
• Sensor tasking, control, and actuation
• Simulation

The Sensor Platforms, Tools, and Design Methods (SPOTS) track focuses on networked embedded sensor platforms and tools. The SPOTS track focuses on new architectures, modeling, evaluation, design methods, implementations, tools, or deployment experiences. Topics covered in the SPOTS track include:

• Case studies that describe experiences, highlight challenges, and study/compare the performance of platforms and tools
• Novel sensor network components, device platforms and architectures
• Embedded software for sensor networks
• Design tools and methodologies for sensor networks
• System modeling, simulation, measurements, and analysis

Workshop on Sensor Networks for Earth and Space Science Applications: ESSA 2009

Date: April 16, 2009

From the Call for Papers

Wireless sensor networks and their applications have grown steadily during the past decade as a result of the convergence of various technologies spanning wireless, data processing algorithms, computing hardware, storage, and sensor capabilities. The pervasive nature of static and mobile sensors scattered throughout the environment enables multi-resolution capture of environmental or ambient information that serve as the basis of intelligence for knowledge inference and decision-making. Information processing for sensor networks enable new capabilities to operate autonomously and learn, perceive, reason, and react intelligently to their environments.

Large scale sensor networks are now being used in a number of Earth and Space Science applications, including large-area terrestrial systems for geologic monitoring, volcano/plume monitoring, seismic (earthquake) monitoring, large-scale ocean monitoring for tsunamis, storm surges, plumes, algae blooms, and weather forecasting systems comprised of aerial and ground/coastal nodes. Such Earth and Space sensor networks are now evolving from “passive observation and reporting systems” to “active and reactive systems” that dynamically evolve in response to complex and rapid spatio-temporal events.

This workshop is a forum for scientists and researchers to present new ideas and papers on sensor networks applications in the areas of Earth and Space Science. Papers on all aspects of Earth and Space Applications can be submitted to this workshop. We expect this workshop to have invited papers as well as contributed papers. Topics of interest include, but are not limited to:

• Oceanic events prediction and monitoring
• Sensor networks applications in near space and deep space
• Data fusion, compression, and processing for sensor webs
• Databases, data search/mining technologies and knowledge extraction mechanisms from sensor networks in Earth and Space Science
• Information management, and data visualization and display techniques for sensor networks
• Signal processing, control, and resource management solutions for sensor networks
• AI and machine learning for sensor networks
• Intelligent networking and routing protocols for optimal operation of large-scale sensor networks