Adaptive data dissemination in wireless sensor networks

Jian Xu, Jianliang Xu, Shanping Li, Qing Gao, Gang Peng

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

1 Citation (Scopus)

Abstract

Recent years have witnessed growing research interest in wireless sensor networks. In the literature, three data storage strategies, i.e., local, data-centric, and index-centric, have been proposed to answer one-shot queries originated from inside the network. Through careful analysis, we show in this paper that each of the three strategies respectively achieves the best performance in a certain range of query-rate to update-rate (Q2U) ratios. We therefore propose several adaptive schemes which periodically adjust the data storage and dissemination strategy in accordance with the Q2U ratio observed in the network. Experimental results demonstrate that in dynamic environments the proposed adaptive schemes substantially outperform the three basic strategies.

Original languageEnglish
Title of host publicationParallel and Distributed Processing and Applications
Subtitle of host publicationSecond International Symposium, ISPA 2004, Hong Kong, China, December 13-15, 2004, Proceedings
EditorsJiannong Cao, Laurence T. Yang, Minyi Guo, Francis Lau
Place of PublicationBerlin, Heidelberg
PublisherSpringer
Pages156-168
Number of pages13
Edition1st
ISBN (Electronic)9783540305668
ISBN (Print)9783540241287
DOIs
Publication statusPublished - 2 Dec 2004
Event2nd International Symposium on Parallel and Distributed Processing and Applications, ISPA 2004 - Hong Kong, Hong Kong
Duration: 13 Dec 200415 Dec 2004

Publication series

NameLecture Notes in Computer Science
Volume3358
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameISPA: International Symposium on Parallel and Distributed Processing and Applications

Conference

Conference2nd International Symposium on Parallel and Distributed Processing and Applications, ISPA 2004
Country/TerritoryHong Kong
CityHong Kong
Period13/12/0415/12/04

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

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