Abstract
This paper addresses a weighted dynamic localized clustering unique to a hierarchical sensor network structure, while reducing the energy consumption of cluster heads and as a result prolonging the network lifetime. Low-Energy Localized Clustering, our previous work, dynamically regulates the radii of clusters to minimize energy consumption of cluster heads while the network field is being covered. We present weighted Low-Energy Localized Clustering (w-LLC), which consumes less energy than LLC with weight functions.
This work was supported by grant No. R01-2005-000-10267-0 from Korea Science and Engineering Foundation in Ministry of Science and Technology.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Akyildiz, I.F., Su, W.L., Sankarasubramaniam, Y., Cayirci, E.: A Survey on Sensor Networks. IEEE Communications Magazine 40(8), 102–114 (2002)
Mhatre, V., Rosenberg, C.: Design Guidelines for Wireless Sensor Networks: Communication, Clustering and Aggregation. Ad Hoc Networks Journal 2(1), 45–63 (2004)
Pan, J., Hou, Y.T., Cai, L., Shi, Y., Shen, S.X.: Topology Control for Wireless Sensor Networks. In: Proc. of ACM MobiCom (2003)
Kim, J., Kim, E., Kim, S., Kim, D., Lee, W.: Low-Energy Localized Clustering: An Adaptive Cluster Radius Configuration Scheme for Topology Control in Wireless Sensor Networks. In: Proc. of IEEE VTC (May 2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, J., Lee, W., Kim, E., Lee, C. (2005). ω-LLC: Weighted Low-Energy Localized Clustering for Embedded Networked Sensors. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11540007_152
Download citation
DOI: https://doi.org/10.1007/11540007_152
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28331-7
Online ISBN: 978-3-540-31828-6
eBook Packages: Computer ScienceComputer Science (R0)