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Type: Conference paper
Title: P2P object tracking in the internet of things
Author: Wu, Y.
Sheng, Q.
Ranasinghe, D.
Citation: Proceedings of the International Conference on Parallel Processing (ICPP), 13-16 September, 2011, Taipei City: pp.502-511
Publisher: IEEE
Publisher Place: USA
Issue Date: 2011
ISBN: 9780769545103
ISSN: 0190-3918
Conference Name: International Conference on Parallel Processing (ICPP) (2011 : Taipei City)
Editor: Gao, G.R.
Tseng, Y.-C.
Statement of
Yanbo Wu, Quan Z. Sheng and Damith Ranasinghe
Abstract: With recent advances in technologies such as radio-frequency identification (RFID) and new standards such as the electronic product code (EPC), large-scale traceability is emerging as a key differentiator in a wide range of enterprise applications (e.g., counterfeit prevention, product recalls, and pilferage reduction). Such traceability applications often need to access data collected by individual enterprises in a distributed environment. Traditional centralized approaches (e.g., data ware-housing) are not feasible for these applications due to their unique characteristics such as large volume of data and sovereignty of the participants. In this paper, we describe an approach that enables applications to share traceability data across independent enterprises in a pure Peer-to-Peer (P2P) fashion. Data are stored in local repositories of participants and indexed in the network based on structured P2P overlays. In particular, we present a generic approach for efficiently indexing and locating individual objects in large, distributed traceable networks, most notably, in the emerging environment of the Internet of Things. The results from extensive experiments show that our approach scales well in both data volume and network size.
Keywords: Internet of Things
traceable networks
peer-to-peer systems
Rights: © Copyright 2011 IEEE
DOI: 10.1109/ICPP.2011.14
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Computer Science publications

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