Abstract
Energy efficiency is one of the important issues in the Wireless Sensor Networks (WSN). In this paper, a decentralized Alive Nodes based Low Energy Adaptive Clustering Hierarchy (AL-LEACH) is presented, that considers number of alive nodes in the network to elect the cluster heads. Alive nodes are used to dynamically compute weights of random numbers. Random number is one of the important parameters to elect cluster heads for the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. Extensive simulations are carried out to compare our proposed approach AL-LEACH with Low Energy Adaptive Clustering Hierarchy (LEACH), Low energy adaptive clustering hierarchy with Deterministic Cluster-Head Selection (LDCHS) and Advanced LEACH routing protocol for wireless micro sensor networks (ALEACH). Simulation results show that AL-LEACH improves the network life time and number of packets received by Base Station (BS) through balanced energy consumption of the network.
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.R., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, p. 10. IEEE (2000)
Handy, M., Haase, M., Timmermann, D.: Low energy adaptive clustering hierarchy with deterministic cluster-head selection. In: 4th International Workshop on Mobile and Wireless Communications Network, pp. 368–372. IEEE (2002)
Manzoor, B., Javaid, N., Rehman, O., Akbar, M., Nadeem, Q., Iqbal, A., Ishfaq, M.: Q-LEACH: A New Routing Protocol for WSNs. arXiv preprint arXiv:1303.5240 (2013)
Thakkar, A., Kotecha, K.: CVLEACH: Coverage based energy efficient LEACH Algorithm. International Journal of Computer Science and Network (IJCSN)Â 1 (2012)
Ali, M.S., Dey, T., Biswas, R.: ALEACH: Advanced LEACH routing protocol for wireless microsensor networks. In: International Conference on Electrical and Computer Engineering, ICECE 2008, pp. 909–914. IEEE (2008)
Thakkar, A., Kotecha, K.: WALEACH: Weight based energy efficient Advanced LEACH algorithm. Computer Science & Information Technology (CS & IT)Â 2(4)
Thakkar, A., Kotecha, K.: WCVALEACH: Weight and Coverage based energy efficient Advanced LEACH algorithm. Computer Science & Engineering 2(6) (2012)
Smaragdakis, G., Matta, I., Bestavros, A.: SEP: A stable election protocol for clustered heterogeneous wireless sensor networks. Boston University Computer Science Department Research Lab (2004) (last accessed February 21, 2014)
Qiu, L., Wang, Y., Zhao, Y., Xu, D., Dan, Q., Zhu, J.: Wireless sensor networks routing protocol based on self-organizing clustering and intelligent ant colony optimization algorithm. In: 9th International Conference on Electronic Measurement & Instruments, ICEMI 2009, pp. 3–223. IEEE (2009)
Wang, A., Yang, D., Sun, D.: A clustering algorithm based on energy information and cluster heads expectation for wireless sensor networks. Computers & Electrical Engineering 38(3), 662–671 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Thakkar, A., Kotecha, K. (2014). Alive Nodes Based Improved Low Energy Adaptive Clustering Hierarchy for Wireless Sensor Network. In: Kumar Kundu, M., Mohapatra, D., Konar, A., Chakraborty, A. (eds) Advanced Computing, Networking and Informatics- Volume 2. Smart Innovation, Systems and Technologies, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-319-07350-7_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-07350-7_6
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07349-1
Online ISBN: 978-3-319-07350-7
eBook Packages: EngineeringEngineering (R0)