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Towards Large-Scale RFID Positioning: A Low-cost, High-precision Solution Based on Compressive Sensing
- Source :
- PerCom
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- RFID-based positioning is emerging as a promising solution for inventory management in places like warehouses and libraries. However, existing solutions either are too sensitive to the environmental noise, or require deploying a large number of reference tags which incur expensive deployment cost and increase the chance of data collisions. This paper presents CSRP, a novel RFID based positioning system, which is highly accurate and robust to environmental noise, but relies on much less reference tags compared with the state-of-the-art. CSRP achieves this by employing an noise-resilient RFID fingerprint scheme and a compressive sensing based algorithm that can recover the target tag's position using a small number of signal measurements. This work provides a set of new analysis, algorithms and heuristics to guide the deployment of reference tags and to optimize the computational overhead. We evaluate CSRP in a deployment site with 270 commercial RFID tags. Experimental results show that CSRP can correctly identify 84.7% of the test items, achieving an accuracy that is comparable to the state-of-the-art, using an order of magnitude less reference tags.
- Subjects :
- Scheme (programming language)
Positioning system
Computer science
Real-time computing
Fingerprint (computing)
020206 networking & telecommunications
02 engineering and technology
Set (abstract data type)
Compressed sensing
Software deployment
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
Environmental noise
Heuristics
computer
computer.programming_language
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom)
- Accession number :
- edsair.doi...........f44d76de27538c14defbafe8b31c6039