Quality-aware Sensor Data Collection
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 this 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. The long term goal of this project is to integrate various ideas at the sensor, middleware and application levels into a unified system which will be easily customized to individual sensing applications, but will be generic and modular enough to be useful to a large class of such applications.
- Qi Han (Faculty)
- Lilia Paradis (Master's Student)
- Iosif Lazaridis
- Sharad Mehrotra
- Nalini Venkatasubramanian
- Randeep Yahathugoda, Qi Han, What does Quality-aware Data Collection Really Achieve in Energy Harvesting Wireless Sensor Networks? International Journal of Sensor Networks (IJSNet), vol. 22, no. 1, 2016.
- Liqun Li, Guoliang Xing, Qi Han and Limin Sun, ASM: Adaptive Voice Stream Multicast over Low-power Wireless Networks, IEEE Transactions on Parallel and Distributed Systems, Vol. 23, No. 4, April 2012.
- Qi Han, Doug Hakkarrinen, Pruet Boonma and Jun Suzuki, Quality-Aware Sensor Data Collection, International Journal of Sensor Networks, Special Issue on Data Quality Management in Wireless Sensor Networks, Vol. 7, No. 3, 2010.
- Chris Davison, Daniel Massaguer, Lilia Paradis, M. Reza Rahimi, Bo Xing, Qi Han, Sharad Mehrotra and Nalini Venkatasubramanian, Practical Experiences in Enabling and Ensuring Quality Sensing In Emergency Response Applications, International Workshop on Pervasive Networks for Emergency Management (PerNEM), in conjunction with IEEE PerCom, Mannheim, Germany, March 2010.
- Liqun Li, Guoliang Xing, Qi Han, and Limin Sun Adaptive Voice Stream Multicast over Low-power Wireless Networks, The 31st IEEE Real-Time Systems Symposium (RTSS), November 30 - December 3, 2010 San Diego, CA, USA.
- Inigo Urteaga, Kevin Barnhart, and Qi Han, REDFLAG: A REal-time, Distributed, Flexible, Lightweight, And Generous Fault Detection Service for Data-driven Sensor Applications, Pervasive and Mobile Computing (PMC), Vol. 5, No. 5, October 2009.
Read more about REDFLAG here.
- Inigo Urteaga, Kevin Barnhart, and Qi Han, REDFLAG: A REal-time, Distributed, Flexible, Lightweight, And Generous Fault Detection Service for Data-driven Sensor, Applications, IEEE International Conference on Pervasive Computing and Communications (PerCom), Gavelston, TX, March 2009.
Read more about REDFLAG here.
- Iosif Lazaridis, Qi Han, Sharad Mehrotra and Nalini Venkatasubramanian, Fault-Tolerant Evaluation of Continuous Queries over Sensor Data, International Journal on Distributed Sensor Networks (IJDSN), Vol. 5, No. 4, 2009.
- Lilia Paradis and Qi Han, A Data Collection Protocol for Real-time Sensor Applications, Pervasive and Mobile Computing (PMC), Vol. 5, No. 1, 2009.
- Doug Hakkarinen and Qi Han, Data Quality Driven Sensor Reporting, The First IEEE Workshop on Quality of Information in Sensor Networks (QoISN), October 2008.
- Lilia Paradis and Qi Han, TIGRA: Timely Sensor Data Collection using Distributed Graph Coloring, IEEE International Conference on Pervasive Computing and Communications (PerCom), Hong Kong, China, March 2008.
- Pruet Boonma, Qi Han and Jun Suzuki, Leveraging Biologically-inspired Mobile Agents Supporting Composite Needs of Reliability and Timeliness in Sensor Applications, IEEE International Conference on Frontiers in the Convergence of Bioscience and Information Technologies (FBIT), Jeju Island, Korea, October 2007.
- Qi Han, Sharad Mehrotra and Nalini Venkatasubramanian, Application-aware Integration of Data Collection and Power Management in Wireless Sensor Networks, Journal of Parallel and Distributed Computing (JPDC), Vol. 67, No. 9, September 2007, Pages 992-1006
- Lilia Paradis and Qi Han, A Survey of Fault Management in Wireless Sensor Networks, Journal of Network and Systems Management (JNSM), Vol. 15, No. 2, June 2007
- Iosif Lazaridis, Qi Han, Sharad Mehrotra, Nalini Venkatasubramanian, Fault-Tolerant Queries over Sensor Data, The 13th International Conference on Management of Data(COMAD), Delhi, India, December 2006.
- Qi Han, A Reflective Middleware Architecture for Distributed Sensor Applications, The 5th Workshop on Adaptive and Reflective Middleware (ARM, in conjunction with ACM/IFIP Middleware), Melbourne, Australia, November 2006
- Lilia Paradis and Qi Han, ESCORT: Energy Efficient Support for Sensor Applications with COmposite Needs of Reliability and Timeliness, Poster paper, The International Conference on Distributed Computing in Sensor Systems (DCOSS), San Francisco, California, June 2006
- Qi Han, Iosif Lazaridis, Sharad Mehrotra, Nalini Venkatasubramanian, Sensor Data Collection with Expected Reliability Guarantees, The First International Workshop on Sensor Networks and Systems for Pervasive Computing(PerSeNS), (in conjunction with PerCom), Kauai Island, Hawaii, March 8, 2005
- Inseok Hwang, Qi Han, Archan Misra, MASTAQ: A Middleware Architecture for Sensor Applications with Statistical Quality Constraints, The First International Workshop on Sensor Networks and Systems for Pervasive Computing(PerSeNS) (in conjunction with PerCom), Kauai Island, Hawaii, March 8, 2005
- Qi Han, Matthew Ba Nguyen, Sandy Irani and Nalini Venkatasubramanian, Time-sensitive Computation of Aggregate Functions over Distributed Imprecise Data, The 12th IEEE International Workshop on Parallel and Distributed Real-time Systems (WPDRTS ) (In conjunction with IPDPS 2004), Santa Fe, New Mexico, April 26-27, 2004
- 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 23-26, 2004.
- Iosif Lazaridis, Qi Han, Xingbo Yu, Sharad Mehrotra, Nalini Venkatasubramanian, Dmitri Kalashnikov and Weiwen Yang, QUASAR: Quality Aware Sensing Architecture, ACM SIGMOD Record, March 2004
This project was supported in part by NSF grants CNS-0855060 and IIS-0086124.