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)


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 - 2nd International Symposium, ISPA 2004, Proceedings
EditorsLaurence T. Yang, Minyi Guo, Francis Lau, Jiannong Cao
PublisherSpringer Verlag
Number of pages13
ISBN (Print)9783540241287
Publication statusPublished - 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 (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3358 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


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

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)


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