TY - GEN
T1 - WaveScope
T2 - SenSys'06: 4th International Conference on Embedded Networked Sensor Systems
AU - Girod, Lewis
AU - Jamieson, Kyle
AU - Mei, Yuan
AU - Newton, Ryan
AU - Rost, Stanislav
AU - Thiagarajan, Arvind
AU - Balakrishnan, Hari
AU - Madden, Samuel
PY - 2006
Y1 - 2006
N2 - WaveScope is a data management and continuous sensor data system that integrates relational database and signal processing operations into a single system. WaveScope is motivated by a large number of signal-oriented streaming sensor applications, such as: preventive maintenance of industrial equipment; detection of fractures and ruptures in various structures; in situ animal behavior studies using acoustic sensing; network traffic analysis; and medical applications such as anomaly detection in EKGs. These target applications use a variety of embedded sensors, each sampling at fine resolution and producing data at high rates ranging from hundreds to hundreds of thousands of samples per second. Though there has been some work on applications in the sensor network community that do this kind of signal processing (for example, shooter localization [5], industrial equipment monitoring [4], and urban infrastructure monitoring [2]), these applications are typically custombuilt and do not provide reusable high-level programming framework suitable for easily building new signal processing applications with similar functionality. This poster shows how WaveScope supports these types of application in a single, unified framework, providing both high run-time performance and easy application development.
AB - WaveScope is a data management and continuous sensor data system that integrates relational database and signal processing operations into a single system. WaveScope is motivated by a large number of signal-oriented streaming sensor applications, such as: preventive maintenance of industrial equipment; detection of fractures and ruptures in various structures; in situ animal behavior studies using acoustic sensing; network traffic analysis; and medical applications such as anomaly detection in EKGs. These target applications use a variety of embedded sensors, each sampling at fine resolution and producing data at high rates ranging from hundreds to hundreds of thousands of samples per second. Though there has been some work on applications in the sensor network community that do this kind of signal processing (for example, shooter localization [5], industrial equipment monitoring [4], and urban infrastructure monitoring [2]), these applications are typically custombuilt and do not provide reusable high-level programming framework suitable for easily building new signal processing applications with similar functionality. This poster shows how WaveScope supports these types of application in a single, unified framework, providing both high run-time performance and easy application development.
KW - Continuous-query
KW - Data management system
KW - Embedded sensing
KW - Signal processing
UR - http://www.scopus.com/inward/record.url?scp=34547419066&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34547419066&partnerID=8YFLogxK
U2 - 10.1145/1182807.1182886
DO - 10.1145/1182807.1182886
M3 - Conference contribution
AN - SCOPUS:34547419066
SN - 1595933433
SN - 9781595933430
T3 - SenSys'06: Proceedings of the Fourth International Conference on Embedded Networked Sensor Systems
SP - 421
EP - 422
BT - SenSys'06
Y2 - 31 October 2006 through 3 November 2006
ER -