Title | ||
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A P2P-Based Mechanism for Managing Location-Dependent Contents in Ubiquitous Environments |
Abstract | ||
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This paper presents a novel Peer-to-Peer (P2P) mechanism that can handle effective location-dependent content discovery to enable context-aware ubiquitous computing. Our mechanism is an extension of "LL-Net', a P2P overlay network that handles peer discoveries according to the geographical location of the peer. To manage location-dependent content discoveries in the LL-Net, a index of location-dependent content is stored in the peer that is located nearest to the content. A query for location-dependent contents located in the certain area is forwarded to the peers that are inside the caluculated area using LL-Net. After the indexes are obtained as the result of the query, location-dependent contents are retrieved according to the indexes. We have evaluated the effectiveness of the proposed mechanism by simulations and confirmed that our mechanism can handle queries with small number of messages. We also found that messages required to achieve 95% recall rate are almost half number of messages that are required to achieve 100% recall rate in our mechanism. |
Year | DOI | Venue |
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2007 | 10.1109/SAINT-W.2007.11 | SAINT Workshops |
Keywords | Field | DocType |
location-dependent contents,p2p overlay network,ubiquitous environments,small number,effective location-dependent content discovery,certain area,recall rate,location-dependent content discovery,p2p-based mechanism,location-dependent content,half number,caluculated area,proposed mechanism,ubiquitous computing,p2p,indexation,overlay network | Location,Recall rate,Computer science,Computer network,Peer to peer computing,Content discovery,Ubiquitous computing,Overlay network | Conference |
ISBN | Citations | PageRank |
0-7695-2757-4 | 1 | 0.35 |
References | Authors | |
2 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tomoya Kawakami | 1 | 33 | 15.09 |
Susumu Takeuchi | 2 | 19 | 6.35 |
Yuuichi Teranishi | 3 | 92 | 35.94 |
Kaname Harumoto | 4 | 109 | 30.18 |
Shinji Shimojo | 5 | 301 | 75.89 |