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 publicationNetworking 2006 - Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Com. Syst. - 5th Int. IFIP-TC6 Netw. Conf. Proc.
EditorsThomas Plagemann, Burkhard Stiller, Cedric Westphal, Fernando Boavida, Edmundo Monteiro
PublisherSpringer Verlag
Pages1132-1137
Number of pages6
ISBN (Electronic)9783540341925
ISBN (Print)3540341927, 9783540341925
DOIs
Publication statusPublished - 2006
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)0302-9743
ISSN (Electronic)1611-3349

Other

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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Jin, G. Y., & Park, M. S. (2006). CAC: Context adaptive clustering for efficient data aggregation in wireless sensor networks. In T. Plagemann, B. Stiller, C. Westphal, F. Boavida, & E. Monteiro (Eds.), Networking 2006 - Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Com. Syst. - 5th Int. IFIP-TC6 Netw. Conf. Proc. (pp. 1132-1137). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3976 LNCS). Springer Verlag. https://doi.org/10.1007/11753810_98