Longitudinal study of a building-scale RFID ecosystem
Proceedings of the 7th international conference on Mobile systems, applications, and services
Probabilistic moving range query over RFID spatio-temporal data streams
Proceedings of the 18th ACM conference on Information and knowledge management
Finding misplaced items in retail by clustering RFID data
Proceedings of the 13th International Conference on Extending Database Technology
Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Leveraging spatio-temporal redundancy for RFID data cleansing
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
PODS: a new model and processing algorithms for uncertain data streams
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Recognizing patterns in streams with imprecise timestamps
Proceedings of the VLDB Endowment
Conditioning and aggregating uncertain data streams: going beyond expectations
Proceedings of the VLDB Endowment
Distributed inference and query processing for RFID tracking and monitoring
Proceedings of the VLDB Endowment
X-CleLo: intelligent deterministic RFID data and event transformer
Personal and Ubiquitous Computing
Effectively indexing the multi-dimensional uncertain objects for range searching
Proceedings of the 15th International Conference on Extending Database Technology
CLARO: modeling and processing uncertain data streams
The VLDB Journal — The International Journal on Very Large Data Bases
Leveraging read rates of passive RFID tags for real-time indoor location tracking
Proceedings of the 21st ACM international conference on Information and knowledge management
A model-based approach for RFID data stream cleansing
Proceedings of the 21st ACM international conference on Information and knowledge management
Xtream: a system for continuous querying over uncertain data streams
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
An RFID and particle filter-based indoor spatial query evaluation system
Proceedings of the 16th International Conference on Extending Database Technology
Probabilistic inference of object identifications for event stream analytics
Proceedings of the 16th International Conference on Extending Database Technology
RFID-data compression for supporting aggregate queries
ACM Transactions on Database Systems (TODS)
Recognizing patterns in streams with imprecise timestamps
Information Systems
Supporting user-defined functions on uncertain data
Proceedings of the VLDB Endowment
Approximation trade-offs in a Markovian stream warehouse: An empirical study
Information Systems
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Recent innovations in RFID technology are enabling large-scale cost-effective deployments in retail, healthcare, pharmaceuticals and supply chain management. The advent of mobile or handheld readers adds significant new challenges to RFID stream processing due to the inherent reader mobility, increased noise, and incomplete data. In this paper, we address the problem of translating noisy, incomplete raw streams from mobile RFID readers into clean, precise event streams with location information. Specifically we propose a probabilistic model to capture the mobility of the reader, object dynamics, and noisy readings. Our model can self-calibrate by automatically estimating key parameters from observed data. Based on this model, we employ a sampling-based technique called particle filtering to infer clean, precise information about object locations from raw streams from mobile RFID readers. Since inference based on standard particle filtering is neither scalable nor efficient in our settings, we propose three enhancements---particle factorization, spatial indexing, and belief compression---for scalable inference over large numbers of objects and high-volume streams. Our experiments show that our approach can offer 49\% error reduction over a state-of-the-art data cleaning approach such as SMURF while also being scalable and efficient.