Abstract
A sensor network system consisting of a large number of small sensors with low-power can be an effective tool for collection and integration of data by each sensor in a variety of environments. The collected data by each sensor node is communicated through the network to a single base station that uses all collected data to determine properties of the data. Clustering sensors into groups, yields that sensors communicate information only to cluster heads and then the cluster-heads communicate the aggregated information to the base station. We estimate the optimal number of cluster-heads among randomized sensors in a bounded region. We derive solutions for the values of parameters of our algorithm that minimize the total energy spent in the wireless sensor network when all sensors communicate data from the cluster-heads to the base station. Computer simulation shows that the energy consumption reduce as the optimal number of cluster-heads for the proposed method.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Foss, S.G., Zuyev, S.A.: On a certain segment process with Voronoi clustering. INRIA, Rapport de Recherche No (1993)
Gupta, P., Kumar, P.R.: The capacity of wireless networks. IEEE Transaction on Information Theory IT-46(2), 388–404 (2000)
Gupta, P., Kumar, P.R.: Critical power for asymptotic connectivity in wireless networks. In: Stochastic Analysis, Control, Optimization and Applications: A Volume in Honor of W. H. Fleming, pp. 547–566 (1998)
Heinzelman, W., et al.: Energy-efficient communication protocol for wireless sensor networks. In: The Proceedings of the 33rd Hawaii International Conference on System Sciences, Hawaii (2000)
Heinzelman, W., et al.: An application-specific protocol architecture for wireless microsensor networks. IEEE Transaction on Wireless Communications 1(4) (October 2002)
Hsu, V., Kahn, J.M., Pister, K.S.J.: Wireless Communications for Smart Dust., Electronics Reaserch Laboratory Technical Memorandum M98/2 (February 1998)
Intanagonwiwat, C., et al.: Directed diffusion: A scalable and robust communication paradigm for sensor networks. In: The Proceedings of MobiCom 2000, MA (2000)
Kahn, J.M., Katz, R.H., Pister, K.S.J.: Next Century Challenges: Mobile Networking for Samrt Dust. In: The 5th Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom 1999), August 1999, pp. 271–278 (1999)
Pottie, G.J., Kaiser, W.J.: Wireless integrated network sensors. Communications of the ACM 43(5), 51–58 (2000)
Bandyopadhyay, S., Coyle, E.J.: An energy efficient hierarchical clustering alogorithm for wireless sensor networks. In: IEEE INFOCOM 2003 - The Conference on Computer Communications, March 2003, vol. 22(1), pp. 1713–1723 (2003)
Wang, A., Heinzelman, W., Chandrakasan, A.: Energy-scalable protocols for battery-operated microsensor networks. In: Proc. 1999 IEEE workshop Signal Processing Systems, October 1999, pp. 483–492 (1999)
Warneke, B., Last, M., Liebowitz, B.: Smart Dust: Communication with a Cubic-Millimeter Computer. Computer Magazine 34(1), 44–51 (2001)
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, H., Kim, S.W., Lee, S., Son, B. (2005). Estimation of the Optimal Number of Cluster-Heads in Sensor Network. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_13
Download citation
DOI: https://doi.org/10.1007/11553939_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28896-1
Online ISBN: 978-3-540-31990-0
eBook Packages: Computer ScienceComputer Science (R0)