The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Nous proposons dans cet article une approche de gestion de données distribuée pour un système de suivi de position à grande échelle composé de plusieurs petits systèmes basés sur des technologies d'étiquettes sans fil telles que les étiquettes RFID et Wi-Fi. Chacun de ces petits systèmes est appelé un domaine, et un serveur de domaine gère les données de position des utilisateurs appartenant à son domaine gestionnaire ainsi qu'aux autres domaines mais résidant temporairement dans son domaine. Les serveurs de domaine collaborent entre eux pour gérer globalement les données de position, réalisant ainsi le suivi de position globale. Plusieurs domaines peuvent être regroupés pour former un domaine plus grand, appelé domaine supérieur, de sorte que l'ensemble du système est construit dans une structure hiérarchique. Nous avons mis en œuvre l'approche proposée dans un environnement expérimental, effectué une évaluation des performances de l'approche proposée et l'avons comparée à une approche existante dans laquelle un serveur central est utilisé pour gérer les données de position de tous les utilisateurs. Les résultats ont montré que la charge de traitement des données de position est répartie entre les serveurs de domaine et que le trafic pour la transmission des données de position sur le réseau fédérateur peut être considérablement limité.
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Fumiaki INOUE, Yongbing ZHANG, Yusheng JI, "Data Management for Large-Scale Position-Tracking Systems" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 1, pp. 45-54, January 2011, doi: 10.1587/transcom.E94.B.45.
Abstract: We propose a distributed data management approach in this paper for a large-scale position-tracking system composed of multiple small systems based on wireless tag technologies such as RFID and Wi-Fi tags. Each of these small systems is called a domain, and a domain server manages the position data of the users belonging to its managing domain and also to the other domains but temporarily residing in its domain. The domain servers collaborate with each other to globally manage the position data, realizing the global position tracking. Several domains can be further grouped to form a larger domain, called a higher-domain, so that the whole system is constructed in a hierarchical structure. We implemented the proposed approach in an experimental environment, and conducted a performance evaluation on the proposed approach and compared it with an existing approach wherein a central server is used to manage the position data of all the users. The results showed that the position data processing load is distributed among the domain servers and the traffic for position data transmission over the backbone network can be significantly restrained.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.45/_p
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@ARTICLE{e94-b_1_45,
author={Fumiaki INOUE, Yongbing ZHANG, Yusheng JI, },
journal={IEICE TRANSACTIONS on Communications},
title={Data Management for Large-Scale Position-Tracking Systems},
year={2011},
volume={E94-B},
number={1},
pages={45-54},
abstract={We propose a distributed data management approach in this paper for a large-scale position-tracking system composed of multiple small systems based on wireless tag technologies such as RFID and Wi-Fi tags. Each of these small systems is called a domain, and a domain server manages the position data of the users belonging to its managing domain and also to the other domains but temporarily residing in its domain. The domain servers collaborate with each other to globally manage the position data, realizing the global position tracking. Several domains can be further grouped to form a larger domain, called a higher-domain, so that the whole system is constructed in a hierarchical structure. We implemented the proposed approach in an experimental environment, and conducted a performance evaluation on the proposed approach and compared it with an existing approach wherein a central server is used to manage the position data of all the users. The results showed that the position data processing load is distributed among the domain servers and the traffic for position data transmission over the backbone network can be significantly restrained.},
keywords={},
doi={10.1587/transcom.E94.B.45},
ISSN={1745-1345},
month={January},}
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TY - JOUR
TI - Data Management for Large-Scale Position-Tracking Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 45
EP - 54
AU - Fumiaki INOUE
AU - Yongbing ZHANG
AU - Yusheng JI
PY - 2011
DO - 10.1587/transcom.E94.B.45
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2011
AB - We propose a distributed data management approach in this paper for a large-scale position-tracking system composed of multiple small systems based on wireless tag technologies such as RFID and Wi-Fi tags. Each of these small systems is called a domain, and a domain server manages the position data of the users belonging to its managing domain and also to the other domains but temporarily residing in its domain. The domain servers collaborate with each other to globally manage the position data, realizing the global position tracking. Several domains can be further grouped to form a larger domain, called a higher-domain, so that the whole system is constructed in a hierarchical structure. We implemented the proposed approach in an experimental environment, and conducted a performance evaluation on the proposed approach and compared it with an existing approach wherein a central server is used to manage the position data of all the users. The results showed that the position data processing load is distributed among the domain servers and the traffic for position data transmission over the backbone network can be significantly restrained.
ER -