MILCOM 2008 - 2008 IEEE Military Communications Conference 2008
DOI: 10.1109/milcom.2008.4753337
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Performance evaluation of information retrieval schemes for multi-attribute queries in DTNs

Abstract: Abstract-Mobile nodes in some challenging network scenarios suffer from intermittent connectivity and frequent partitions e.g. battlefield and disaster recovery scenarios. Disruption Tolerant Network (DTN) technologies are designed to enable nodes in such environments to communicate with one another. In an earlier work, we studied information retrieval schemes for singleattribute queries in DTNs. Our schemes disseminate replicated data copies and queries to local-neighborhood. However, data items often have mu… Show more

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Cited by 5 publications
(3 citation statements)
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References 16 publications
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“…A publisher can publish data items and store replicated copies of the data items at nodes it encounters opportunistically or at specifically deployed storage nodes called the index and storage point (ISP)s [21]. In [9], we describe how a publisher can use a friendliness metric to select more popular nodes to store its data items.…”
Section: Content-based Pub-sub Modelmentioning
confidence: 99%
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“…A publisher can publish data items and store replicated copies of the data items at nodes it encounters opportunistically or at specifically deployed storage nodes called the index and storage point (ISP)s [21]. In [9], we describe how a publisher can use a friendliness metric to select more popular nodes to store its data items.…”
Section: Content-based Pub-sub Modelmentioning
confidence: 99%
“…In [9], we describe how a publisher can use a friendliness metric to select more popular nodes to store its data items. Our simulation results [3], [9], [21] indicate that distributed storage of replicated data items improve the query success rate and query response time in extreme networks. Query performance results using specially deployed storage nodes called ISPs are also provided in [21].…”
Section: Content-based Pub-sub Modelmentioning
confidence: 99%
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