Abstract
Recent advances in wireless sensor networks have led to feasibility in implementing a variety of reliable and distributed monitoring and controlling systems used in several areas including environment, healthcare, civil, and military applications. The introduction to novel protocols and their improvements, especially for energy consumption awareness, were due to the major limitations of power-aware tiny sensor nodes. To utilize an overall energy consumption prolonging system lifetime, clustering is one of the promising approaches. By grouping sensors together, the sensor communicates only to its cluster head before gathered, and then forwarded to a base station. In this paper, we evaluate this issue, and then propose an optimization over a well-known hierarchical routing protocol, LEACH, by considering Moving energy window Average and selection Probability (MAP), resulting in an overall energy usage enhancement.
This work was supported in part by Research Incubation Fund, Khon Kaen University, 2012-2015.
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., Sankarasubramaniam, Y., Cayirci, E.: A survey on sensor networks. IEEE Commun. Mag. 40(8), 102–114 (2002)
Pantazis, N.A., Nikolidakis, S.A., Vergados, D.D.: Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey. IEEE Commun. Survey & Tutorials 15(2), 551–591 (2012)
Al-Karaki, J.N., Kamal, A.E.: Routing Techniques in wireless sensor network: a survey. IEEE Wireless Commun. 11(6), 6–28 (2004)
Heinzelman, W.B., Chandrakasan, A.P., Balakrishnan, H.: An Application-Specific Protocol Architecture for Wireless Microsensor Networks. IEEE Trans. on Wireless Commun. 1(4), 660–670 (2002)
Tyagi, S., Kumar, N.: A systematic review on clustering and routing techniques based upon LEACH protocol for wireless sensor networks. J. of Network and Computer Applications 36(2), 623–645 (2013)
So-In, C., Udompongsuk, K., Phudphut, C., Rujirakul, K., Khunboa, C.: Performance Evaluation of LEACH on Cluster Head Selection Techniques in Wireless Sensor Networks. In: Meesad, P., Unger, H., Boonkrong, S. (eds.) IC2IT2013. AISC, vol. 209, pp. 51–61. Springer, Heidelberg (2013)
Thein, M.C.M., Thein, T.: An Energy Efficient Cluster-Head Selection for Wireless Sensor Networks. In: Inter. Conf. on Intelligent Systems, Modeling and Simulation, pp. 287–291. IEEE Press, UK (2010)
Hou, R., Ren, W., Zhang, Y.: A wireless sensor network clustering algorithm based on energy and distance. In: Inter. Workshop on Computer Science and Engineering, pp. 439–442. IEEE Press, USA (2009)
Azim, A., Mohammad, M.I.: Hybrid LEACH: A Relay Node Based Low Energy Adaptive Clustering Hierarchy for Wireless Sensor Networks. In: Inter. Conf. on Commun., pp. 911–916. IEEE Press, Kuala Lumpur (2009)
Li, Y., Ding, L., Liu, F.: The Improvement of LEACH Protocol in WSN. In: Inter. Conf. on Computer Science and Network Technology, pp. 1345–1348. IEEE Press, Harbin (2011)
Handy, M.J., Haase, M., Timmermann, D.: Low Energy Adaptive Clustering Hierarchy with Deterministic Cluster-Head Selection. In: IEEE Conf. on Mobile and Wireless Commun. Networks, pp. 368–372. IEEE Press, USA (2002)
Makridakis, S., Wheelwright, S.C.: Adaptive Filtering: An Integrated Autoregressive/Moving Average Filter for Time Series Forecasting. Opl Res. Q., Pergamon Press 28(2), 337–425 (1977)
Hyndman, R.J., Athanasopulos, G.: Forecasting Methods and Applications (2012), www.otexts.com/fpp/
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Udompongsuk, K., So-In, C., Phaudphut, C., Rujirakul, K., Soomlek, C., Waikham, B. (2014). MAP: An Optimized Energy-Efficient Cluster Header Selection Technique for Wireless Sensor Networks. In: Jeong, H., S. Obaidat, M., Yen, N., Park, J. (eds) Advances in Computer Science and its Applications. Lecture Notes in Electrical Engineering, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41674-3_29
Download citation
DOI: https://doi.org/10.1007/978-3-642-41674-3_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41673-6
Online ISBN: 978-3-642-41674-3
eBook Packages: EngineeringEngineering (R0)