QUality Aware Sensing ARchitecture

[ People | Motivation | Talks | Papers | Funding ]


Sensor devices are promising to revolutionize our interaction with the physical world by allowing continuous monitoring and reaction to natural and artificial processes at an unprecedented level of spatial and temporal resolution. As sensors become smaller, cheaper and more configurable, systems incorporating large numbers of them become feasible. Besides the technological aspects of sensor design, a critical factor enabling future sensor-driven applications will be the availability of an integrated infrastructure taking care of the onus of data management. Ideally, accessing sensor data should be no difficult or inconvenient than using simple SQL.

In the Quality-Aware Sensing Architecture (QUASAR) project we investigate some of the issues that such an infrastructure must address. Unlike conventional distributed database systems, a sensor data architecture must handle extremely high data generation rates from a large number of small autonomous components. And, unlike the emerging paradigm of data streams, it is infeasible to think that all this data can be streamed into the query processing site, due to severe bandwidth and energy constraints of battery-operated wireless sensors. Thus, sensing data architectures must become quality-aware, regulating the quality of data at all levels of the distributed system, and supporting user applications' quality requirements in the most efficient manner possible.


  • Sharad Mehrotra, Nalini Venkatasubramanian, Rajesh Gupta, "System Support for Sensor Networks" (Tutorial), HiPC 2003, Hyderabad, India, December 2003. [Powerpoint Slides]
  • Sharad Mehrotra "Quality-Aware Sensor Infrastructure (QUASAR) Project" (Talk at UCLA), October 2003. [Powerpoint Slides]
  • Sharad Mehrotra "Quality-Aware Sensor Database (QUASAR) Project" (Talk at UCLA), October 2002. [Powerpoint Slides]


  • Iosif Lazaridis, Qi Han, Sharad Mehrotra, Nalini Venkatasubramanian, "Fault-Tolerant Evaluation of Continuous Selection Queries over Sensor-Generated Data", (submitted for publication).
  • Iosif Lazaridis and Sharad Mehrotra, "Approximate Selection Queries over Imprecise Data", International Conference on Data Engineering (ICDE) 2004, Boston, Massachussets, March 2004. [pdf]
  • Iosif Lazaridis, Qi Han, Xingbo Yu, Sharad Mehrotra, Nalini Venkatasubramanian, Dmitri V. Kalashnikov, Weiwen Yang, "QUASAR: Quality-Aware Sensing Architecture" SIGMOD Record 33(1): 26-31, March 2004. [pdf]
  • Qi Han, Sharad Mehrotra and Nalini Venkatasubramanian, "Energy Efficient Data Collection in Distributed Sensor Environments", The 24th IEEE International Conference on Distributed Computing Systems (ICDCS), Tokyo, Japan, March, 2004. [pdf]
  • Xingbo Yu, Koushik Niyogi, Sharad Mehrotra, and Nalini Venkatasubramanian, "Adaptive Target Tracking in Sensor Networks", The 2004 Communication Networks and Distributed Systems Modeling and Simulation Conference (CNDS), San Diego, January 2004. [pdf]
  • Qi Han and Nalini Venkatasubramanian, "Addressing Timeliness/Accuracy/Cost Tradeoffs in Information Collection for Dynamic Environments", The 24th IEEE International Real-time Systems Symposium (RTSS), Cancun, Mexico, December, 2003. [pdf]
  • Xingbo Yu and Sharad Mehrotra, "Capturing Uncertainty in Spatial Queries over Imprecise Data", The 14th International Conference on Database and Expert Systems Applications (DEXA), Prague, Czech Republic, September 2003. [pdf]
  • Xingbo Yu, Koushik Niyogi, Sharad Mehrotra, and Nalini Venkatasubramanian, "Adaptive Middleware for Distributed Sensor Environments", Middleware2003 WiP paper, IEEE DS Online, May 2003, Vol. 4, No.5. [html]
  • Iosif Lazaridis and Sharad Mehrotra, "Capturing Sensor-Generated Time Series with Quality Guarantees", International Conference on Data Engineering (ICDE) 2003, Bangalore, India. [pdf]
  • Kriengkrai Porkaew, Iosif Lazaridis and Sharad Mehrotra, "Querying Mobile Objects in Spatio-Temporal Databases", 7th Int'l Symposium on Spatial and Temporal Databases, Redondo Beach, California, July 2001. [pdf]
  • Iosif Lazaridis, Sharad Mehrotra, Kriengkrai Porkaew and Robert Winkler "Database Support for Situational Awareness", Book Chapter, ARL Handbook, 2001. [MS Word]
  • Iosif Lazaridis and Sharad Mehrotra "Incorporating Aggregate Queries in Interactive Visualization", Appeared in Proceedings of the 5th Annual Federated Laboratory Symposium, Maryland, March 21-23, 2001. [MS Word]
  • Iosif Lazaridis and Sharad Mehrotra, "Progressive Approximate Aggregate Queries with a Multi-Resolution Tree Structure", 2001 ACM SIGMOD Conference on Management of Data, Santa Barbara, May, 2001. [pdf]

Project Funding

Funding is provided by the National Science Foundation under Grant No. IIS-0086124 and Award No. 0331707, the Army Research Laboratory under Cooperative Agreements No. DAAL-01-96-2-0003 and No. DAAD-19-00-1-0188, and the Office of Naval Research under contract number N00014-02-1-0715.

Sensor-Related Information