Content management in a mobile ad hoc network: Beyond opportunistic strategy
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Suk bok | - |
dc.contributor.author | Wong, Starsky H. Y. | - |
dc.contributor.author | Lee, Kang won | - |
dc.contributor.author | Lu, Songwu | - |
dc.date.accessioned | 2021-06-23T05:23:18Z | - |
dc.date.available | 2021-06-23T05:23:18Z | - |
dc.date.created | 2021-01-22 | - |
dc.date.issued | 2013-04 | - |
dc.identifier.issn | 1754-3916 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/30516 | - |
dc.description.abstract | We study the challenging problem of strategic content placement in a dynamic MANET. Existing content placement techniques cannot cope with such network dynamics since they are designed for fixed networks. Opportunistic caching approaches are insufficient as they do not actively manage contents for certain goals. In this paper, we present a novel content management approach, called LACMA that leverages the location information available to mobile devices via GPS. The main insight behind LACMA is to bind data to geographic location (as opposed to network nodes). This location-based strategy decouples the content placement problem from the changing network topology, and allows us to design an optimisation framework even in a dynamic MANET environment. We present key components of LACMA used for strategic content placement and content-location binding (through proactive content push). We evaluate LACMA and compare its performance with existing caching schemes and show that LACMA considerably outperforms existing schemes over a wide range of scenarios. © 2013 Inderscience Enterprises Ltd. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Inderscience Publishers | - |
dc.title | Content management in a mobile ad hoc network: Beyond opportunistic strategy | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Suk bok | - |
dc.identifier.doi | 10.1504/IJCNDS.2013.051833 | - |
dc.identifier.scopusid | 2-s2.0-84878267706 | - |
dc.identifier.bibliographicCitation | International Journal of Communication Networks and Distributed Systems, v.10, no.2, pp.123 - 145 | - |
dc.relation.isPartOf | International Journal of Communication Networks and Distributed Systems | - |
dc.citation.title | International Journal of Communication Networks and Distributed Systems | - |
dc.citation.volume | 10 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 123 | - |
dc.citation.endPage | 145 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Knowledge engineering | - |
dc.subject.keywordPlus | Location | - |
dc.subject.keywordPlus | Mobile telecommunication systems | - |
dc.subject.keywordPlus | Content placement | - |
dc.subject.keywordPlus | Content Sharing | - |
dc.subject.keywordPlus | Content-centric networkings | - |
dc.subject.keywordPlus | Geographic location | - |
dc.subject.keywordPlus | Location based | - |
dc.subject.keywordPlus | Location information | - |
dc.subject.keywordPlus | Opportunistic caching | - |
dc.subject.keywordPlus | Placement problems | - |
dc.subject.keywordPlus | Mobile ad hoc networks | - |
dc.subject.keywordAuthor | Content placement | - |
dc.subject.keywordAuthor | Content sharing | - |
dc.subject.keywordAuthor | Content-centric networking | - |
dc.subject.keywordAuthor | Location-based approach | - |
dc.subject.keywordAuthor | Mobile ad-hoc networks | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/5935096?arnumber=5935096&SID=EBSCO:edseee | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.