DocumentCode
1858436
Title
P2P Object Tracking in the Internet of Things
Author
Wu, Yanbo ; Sheng, Quan Z. ; Ranasinghe, Damith
Author_Institution
Sch. of Comput. Sci., Univ. of Adelaide, Adelaide, SA, Australia
fYear
2011
fDate
13-16 Sept. 2011
Firstpage
502
Lastpage
511
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
information retrieval; object tracking; peer-to-peer computing; radiofrequency identification; Internet of Things; P2P object tracking; RFID; data access; data storage; distributed traceable networks; electronic product code; generic approach; large-scale traceability; peer-to-peer approach; radiofrequency identification; structured P2P overlays; Artificial neural networks; Indexing; Internet; Logic gates; Peer to peer computing; Vegetation; Internet of Things; Peer-to-Peer systems; RFID; scalability; traceable networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Processing (ICPP), 2011 International Conference on
Conference_Location
Taipei City
ISSN
0190-3918
Print_ISBN
978-1-4577-1336-1
Electronic_ISBN
0190-3918
Type
conf
DOI
10.1109/ICPP.2011.14
Filename
6047218
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