Abstract
A set of small battery-operated sensors with low-power transceivers that can automatically form a network and collect some desired physical characteristics of the environment is called a wireless sensor network. The communications must be designed to conserve the limited energy resources of the sensors [14].By clustering sensors we can save energy. In this paper, we introduce a new concept called “Center of Energy Mass” which is a combination of both energy level and location of the nodes which is used to form the new factor of “distance of the nodes to the CEM “.Distance of the nodes to the CEM is used together with Probability Density Function of the normal distribution in optimizing LEACH’s cluster head selection algorithm. We optimized LEACH’s random Cluster-Heads selection algorithm by means of finding the CEM, to ensure balanced energy depletion over the whole network thus prolonging the network lifetime. Simulation results show that our algorithm improves First Node Dies by 23.5% and Half Nodes Die by 5.6%.
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
Heinzelman, W., Chandrakasan, A., Bal Krishnan, H.: Energy-Efficient Communication Protocol for Wireless Microsensor Networks. In: International Conference on System Sciences, Hawaii (January 2000)
Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: An application Specific Protocol Architecture for Wireless Microsensor Networks. IEEE Transactions on Wireless communications 1(4) (October 2002)
Pottie, G.J., Kaiser, W.J.: Wireless Integrated Network Sensors. Communications of the ACM 43(5), 51–58 (2000)
Manjeshwar, A., Agarwal, D.P.: TEEN: a routing protocol for enhanced efficiency in wireless sensor networks. In: 1st International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing (April 2001)
Manjeshwar, A., Agarwal, D.P.: APTEEN: A hybrid protocol for efficient routing and comprehensive information retrieval in wireless sensor networks. In: Parallel and Distributed Processing Symposium. Proceedings International, IPDPS 2002, pp. 195–202 (2002)
Lindsey, S., Raghavendra, C.: PEGASIS: Power-Efficient Gathering in Sensor Information Systems. In: IEEE Aerospace Conference Proceedings, vol. 3(9-16), pp. 1125–1130 (2002)
Rappaport, T.: Wireless Communications: Principles & Practice. Prentice-Hall, Englewood Cliffs (1996)
Voigt, T., Ritter, H., Schiller, J.: Utilizing Solar Power in Wireless Sensor Networks. In: IEEE Conference on Local Computer Networks, LCN 2003, Bonn/Königswinter, Germany (October 2003)
Varga, A.: The OMNeT++ Discrete Event Simulation System. In: European Simulation Multiconference, Prague, Czech Republic (June 2001)
Handy, M.J., Haase, M., Timmermann, D.: Low energy adaptive clustering hierarchy with deterministic Cluster-Heads selection. In: Proc. 4th International Workshop on Mobile and Wireless Communications Network, September 2002, pp. 368–372 (2002)
Voigt, T., Dunkels, A., Alonso, J., Ritter, H., Schiller, J.: Solar-aware clustering in wireless sensor networks. In: Proc. Ninth International Symposium on Computers and Communications, June 2004, pp. 238–243 (2004)
Mood, A.M., Graybill, F.A., Boes, D.C.: Introduction to the Theory of Statistics, 3rd edn. McGraw-Hill Companies, New York (1974)
Tillapart, P., Thammarojsakul, S., Thumthawatworn, T., Santiprabhob, P.: An Approach to Hybrid Clustering and Routing in Wireless Sensor Networks
Bandyopadhyay, S., Coyle, E.J.: An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks. In: IEEE INFOCOM 2003 (2003)
Ying, L., Haibin, Y.: Energy Adaptive Cluster-Head Selection for Wireless Sensor Networks. In: Sixth International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2005) (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Akhtarkavan, E., Manzuri Shalmani, M.T. (2008). Energy Adaptive Cluster-Head Selection for Wireless Sensor Networks Using Center of Energy Mass. In: Sarbazi-Azad, H., Parhami, B., Miremadi, SG., Hessabi, S. (eds) Advances in Computer Science and Engineering. CSICC 2008. Communications in Computer and Information Science, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89985-3_16
Download citation
DOI: https://doi.org/10.1007/978-3-540-89985-3_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89984-6
Online ISBN: 978-3-540-89985-3
eBook Packages: Computer ScienceComputer Science (R0)