Authors:
Milan Milenkovic
1
;
Thanh Dang
2
;
Ulf Hanebutte
1
and
Yonghong Huang
1
Affiliations:
1
Intel Corporation, United States
;
2
Washington State University Vancouver, United States
Keyword(s):
Sensing Architecture, Platform-integrated Sensor, User-centric Sensing, Smart Buildings.
Related
Ontology
Subjects/Areas/Topics:
Applications and Uses
;
Artificial Intelligence
;
Biomedical Engineering
;
Collaboration and e-Services
;
Complex Systems Modeling and Simulation
;
Data Engineering
;
e-Business
;
Energy Efficiency
;
Energy Efficiency and Green Manufacturing
;
Enterprise Information Systems
;
Health Information Systems
;
Industrial Engineering
;
Informatics in Control, Automation and Robotics
;
Integration/Interoperability
;
Interoperability
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Obstacles
;
Ontologies and the Semantic Web
;
Power Management
;
Sensor Networks
;
Simulation and Modeling
;
Smart Buildings and Smart Cities
;
Software Agents and Internet Computing
;
Software and Architectures
;
Symbolic Systems
;
Wireless Information Networks
Abstract:
We propose, implement, and evaluate a pervasive sensing system that is capable of collecting data from sensors that may surround a user in a given setting. Such systems will enable creation of new types of applications that span across devices, users, and domains based on spatial, temporal, and social aggregations of sensor data. Key innovation in our work is a sensing fabric that collects data from a variety of sensors and leverages platform-integrated sensors, which are built into hosting devices, such as laptops and tablets. These sensors can significantly improve sensing in enterprise settings and they are comparatively inexpensive to manufacture, deploy, and maintain. Our system embodies three key architectural principles: (1) support for a variety of sensor types including platform-integrated sensors for pervasive sensing, (2) use of Internet protocols for sensor connectivity, web technologies and programming model for application development, and (3) use a hybrid sensor databa
se design with a document-oriented component to improve flexibility and performance. We evaluate our implementation in real-world pilots for several months and 73 users. Our results demonstrate that platform-integrated sensors can provide accurate sensing data, have negligible impact on operations of a hosting platform, and that our architecture can provide sensing services across users and devices over a sustained period of time.
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