Region abstraction for event tracking in wireless sensor networks

Chun Han Lin*, Chung Ta King, Hung Chang Hsiao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

It is often necessary to track objects or events that gather as a large group, such as a school of fishes, or that do not have a rigid shape, such as forest fires and toxic gas. Their aggregate features, such as shape, area, moving direction, and speed are often queried. These objects or events often exhibit interesting behavior, such as splitting into multiple groups or merging into a single group. In this paper, we discuss the use of wireless sensor networks to track such events. A framework, CLOUD, is proposed, which constructs a collective structure over every region covered by the events to collect and aggregate related information. CLOUD is evaluated by simulations in NS2. The results show that CLOUD can effectively reduce bandwidth consumption in tracking such events while conserve energy.

Original languageEnglish
Title of host publicationProceedings - 8th International Symposium on Parallel Architectures, Algorithms and Networks, I-Span 2005
Pages274-279
Number of pages6
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event8th International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN 2005 - Las Vegas, NV, United States
Duration: 2005 Dec 72005 Dec 9

Publication series

NameProceedings of the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN
Volume2005

Other

Other8th International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN 2005
Country/TerritoryUnited States
CityLas Vegas, NV
Period2005/12/072005/12/09

ASJC Scopus subject areas

  • General Computer Science

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