The IP area focuses on algorithms, theory, and systems for information processing using networks of embedded, human-in-the-loop, or social sensors. Topics covered in the IP 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 The SPOTS area focuses on new hardware and software architectures, modeling, evaluation, deployment experiences, design methods, implementations, and tools for networked embedded sensor systems. Submissions are expected to refer to specific hardware, software, and implementations. Topics covered in SPOTS include, but are not limited to: 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