ACM SenSys 2014

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:


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Topics of Interest
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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 their own.

General Chair
Akos Ledeczi (Vanderbilt University)

Program Chairs
Prabal Dutta (University of Michigan)
Chenyang Lu (Washington University in St. Louis)