The International Conference on Information Processing in Sensor Networks (IPSN) is a leading annual forum on research in networked sensing and control, broadly defined. IPSN brings together researchers from academia, industry, and government to present and discuss recent advances in both theoretical and experimental research. 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 multiple of these areas.

In addition to IPSN's traditional focus, IPSN 2018 will also include two new special tracks: Internet of Things (IoT), and Data and Machine Learning (DML).

Like prior years, IPSN'18 will continue its strong focus on algorithms, theory, and systems for information processing using networks of embedded, human-in-the-loop, or social sensors, as well as new hardware and software platforms, design methods, architectures, modelling, implementation, evaluation, deployment experiences, and tools for networked embedded sensor systems and the Internet of Things. Topics of interest include, but are not limited to:

• - Sensor data storage, retrieval, processing
• - Streaming sensor system tasking and operation
• - Coding, compression, and information theory
• - Machine learning and deep learning on sensor data
• - Sensor tasking, control, and actuation
• - Theoretical foundation and fundamental bounds
• - Network and system architectures and protocols
• - IoT gateway platform architecture and services
• - Outdoor, wide-area sensing systems
• - Location, time, and other network services
• - Programming models, languages, and systems
• - Programming models for IoT ensembles
• - Embedded systems software frameworks
• - Modeling, simulation, and measurement tools
• - Operating systems and runtime environments
• - User interfaces for sensing apps and systems
• - Cloud, mobile, participatory, and social sensing
• - Applications in health, wellness & sustainability
• - Applications in smart cities and urban health
• - Experiences, challenges, comparisons of platforms
• - Discovery, coordination, and use of IoT services
• - Security and privacy in heterogeneous systems
• - IoT reliability, adaptability, and dependability
• - Technical assessment of emerging IoT standards
• - Wearable systems and data processing algorithms
• - Evaluation/deployment of industrial sensor systems
• - Sensor-enabled drone platforms and algorithms

The IoT track will concentrate on issues related to the Internet of Things. Submission should refer to specific IoT-related issues including, but not limited to:

• - Programming models for IoT ensembles
• - Hardware, software, and system design for IoT
• - Discovery, coordination, and use of IoT services
• - IoT reliability, adaptability, and dependability
• - Technical assessment of emerging IoT standards

The DML track will concentrate on data and machine learning related issues in the traditional IPSN topic areas above. Topics can include, but are not limited to:

• - Machine learning and deep learning on sensor data
• - New hardware and system design to enable machine learning on sensor data
• - Novel machine learning algorithms (e.g., new techniques for modeling, optimization, signal processing, interpretation, evaluation, etc.)
• - Data related issues (e.g. structure, management, database, methods, tools, analysis, etc.)

The entire program committee is eligible to review any submitted paper, but to aid in reviewer selection, authors are encouraged to indicate in the submission site if their papers are related to any of the special tracks IoT or DML. All accepted papers will be presented in the main conference.