@inproceedings{6875410d759a499594ea20cc9ef56790,
title = "A framework for distributed managing uncertain data in RFID traceability networks",
abstract = "The ability to track and trace individual items, especially through large-scale and distributed networks, is the key to realizing many important business applications such as supply chain management, asset tracking, and counterfeit detection. Networked RFID (radio frequency identification), which uses the Internet to connect otherwise isolated RFID systems and software, is an emerging technology to support traceability applications. Despite its promising benefits, there remains many challenges to be overcome before these benefits can be realized. One significant challenge centers around dealing with uncertainty of raw RFID data. In this paper, we propose a novel framework to effectively manage the uncertainty of RFID data in large scale traceability networks. The framework consists of a global object tracking model and a local RFID data cleaning model. In particular, we propose a Markov-based model for tracking objects globally and a particle filter based approach for processing noisy, low-level RFID data locally. Our implementation validates the proposed approach and the experimental results show its effectiveness.",
keywords = "Internet of Things, RFID, Traceability Networks, Uncertainty",
author = "Jiangang Ma and Sheng, {Quan Z.} and Damith Ranasinghe and Chuah, {Jen Min} and Yanbo Wu",
year = "2012",
doi = "10.1007/978-3-642-35063-4_22",
language = "English",
isbn = "9783642350627",
series = "Lecture Notes in Computer Science",
publisher = "Springer, Springer Nature",
pages = "298--311",
editor = "Wang, {X. Sean} and Isabel Cruz and Alex Delis and Guangyan Huang",
booktitle = "Web Information Systems Engineering - WISE 2012",
address = "United States",
note = "13th International Conference on Web Information Systems Engineering, WISE 2012 ; Conference date: 28-11-2012 Through 30-11-2012",
}