Information Processing

Its scope includes signal and image processing, information and coding theory, databases and information management, distributed algorithms, networks and protocols, wireless communications, collaborative objects and the Internet of Things, machine learning, mobile and social sensing, and embedded systems design. Of special interest are contributions at the confluence of a multiple of these areas.

Topics covered in the area include, but are not limited to:

Sensor data processing, mining, and machine learning

Data storage, management, and retrieval

Coding, compression and information theory

Detection, classification, tracking, reasoning, and decision making

Sensor tasking, control, and actuation

Theoretical foundation and fundamental bounds

Network and system architectures and protocols

Location, time, and other network services

Programming models and languages

Mobile, participatory, and social sensing

Innovative applications and deployment experiences

Novel components, devices and architectures for networked sensing

Innovative sensing and processing platforms including cloud,crowd, and Internet-of-Things

Embedded software for sensor networks

System modeling, simulation, measurements, and analysis

Design tools and methodologies for sensor networks

Network health monitoring and management

Operating systems and runtime environments

User interfaces for sensing applications and systems

Case studies highlighting experiences, challenges, and comparisons of platforms and tools