CAC: Context adaptive clustering for efficient data aggregation in wireless sensor networks

Guang Yao Jin, Myong Soon Park

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

11 Citations (Scopus)

Abstract

Wireless sensor networks are characterized by the widely distributed sensor nodes which transmit sensed data to the base station cooperatively. However, due to the spatial correlation between sensor observations, it is not necessary for every node to transmit its data. There are already some papers on how to do clustering and data aggregation in-network, however, no one considers about the data distribution with respect to the environment. In this paper a context adaptive clustering mechanism is proposed, which tries to form clusters of sensors with similar output data within the bound of a given tolerance parameter. With similar data inside a cluster, it is possible for the cluster header to use a simple technique for data aggregation without introducing large errors, thus can reduce energy consumption and prolong the sensor lifetime. The algorithm proposed is very simple, transparent, localized and does not need any central authority to monitor or supervise it.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages1132-1137
Number of pages6
Volume3976 LNCS
DOIs
Publication statusPublished - 2006 Jul 19
Event5th International IFIP-TC6 Networking Conference, Networking 2006 - Coimbra, Portugal
Duration: 2006 May 152006 May 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3976 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other5th International IFIP-TC6 Networking Conference, Networking 2006
CountryPortugal
CityCoimbra
Period06/5/1506/5/19

    Fingerprint

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Jin, G. Y., & Park, M. S. (2006). CAC: Context adaptive clustering for efficient data aggregation in wireless sensor networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3976 LNCS, pp. 1132-1137). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3976 LNCS). https://doi.org/10.1007/11753810_98