Call for Papers

Sensors have become an essential part of computing systems and applications. Computing today is increasingly characterized by ubiquitous, information-rich sensors that produce massive quantities of data about the physical world. This new era of computing is driving important new systems issues, and requires new system-level approaches and design principles.

The ACM Conference on Embedded Networked Sensor Systems (SenSys 2014) is a computer systems conference focused on the architecture, design, implementation, and performance of sensor systems. ACM SenSys brings together academic, industry, and government professionals to a single-track, highly selective forum on sensor network design, implementation, and application. It is the premier forum to discuss systems issues that arise specifically due to sensing. SenSys takes a broad view on the areas of computing that are relevant to the future of sensor systems, and topics of interest include but are not limited to the following:
Topics of Interest

Compelling challenge papers grounded in technology trends
Applications and deployment experiences
Knowledge discovery from sensor data
Emerging sensor systems, such as Kinect, LIDAR, and cameras
RFID computation, communications, storage, and networking
Mobile and wearable sensing
Ubiquitous and pervasive sensing
Internet of Things, Cyber-Physical Systems, and Sensor Swarms
Software for sensor systems
Communication and networking for sensor systems
Sensor context such as time and location estimation
Energy harvesting and management for long-term sensor operation
Storage, retrieval, processing, and management of sensor data
New sensor technology and hardware designs
Fault-tolerance and reliability of sensor systems
Sensor data quality, integrity, and trustworthiness
Security and privacy of sensor systems

We invite technical papers describing original ideas, ground-breaking results, and/or real-world experiences involving innovative sensor systems. Successful submissions will explain why the topic is relevant to a vision of the future of sensing systems. Submissions will be judged on originality, significance, clarity, relevance, and correctness. In addition to citing relevant, published work, authors must cite and relate their submissions to relevant prior publications of the their own.