Modified Low Energy Adaptive Clustering Hierarchy Protocol for Efficient Energy Consumption in Wireless Sensor Networks

Mohammed Joda Usman; Zhang Xing; Haruna Chiroma; Abdulsalam Ya’u Gital; Adamu I. Abubakar; Ali Muhammad Usman; Tutut Herawan

doi:10.15866/irecos.v9i11.4540

Modified Low Energy Adaptive Clustering Hierarchy Protocol for Efficient Energy Consumption in Wireless Sensor Networks

Mohammed Joda Usman⁽¹⁾, Zhang Xing⁽²⁾, Haruna Chiroma^(3*), Abdulsalam Ya’u Gital⁽⁴⁾, Adamu I. Abubakar⁽⁵⁾, Ali Muhammad Usman⁽⁶⁾, Tutut Herawan⁽⁷⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/irecos.v9i11.4540

Abstract

In this paper, we propose a Modified Low-Energy Adaptive Clustering Hierarchy (MoLEACH) protocol to improve energy consumption in in Wireless Sensor Networks. The novelty of MoLEACH is that, unlike the original LEACH that uses the residual energy of the network, it considers the residual energy of each node for calculation of the threshold value for the next round in cluster head selection. We make comparative simulation analysis between the MoLEACH and LEACH in testing different parameters such as first node dead, half node dead, and the effect of the number of nodes to the network lifetime. The simulation results show that the number of nodes affects the network lifetime in which increments of number of nodes decrease the network lifetime. In small area, minimum number of nodes is better for network lifetime in both MoLEACH and LEACH protocols. Hence, MoLEACH shows improvement of energy efficiency over the LEACH.
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Keywords

Cluster-Based Routing; Energy Efficiency; Healthcare; LEACH Protocol; Wireless Sensor Networks

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References

IF. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, Wireless sensor networks: A survey. Computer Networks, Vol. 38 n.4, pp 393-422, 2002.
http://dx.doi.org/10.1016/s1389-1286(01)00302-4

G. Anastasi, MD. Conti, M. Francesco, A. Passarella, Energy conservation in wireless sensor networks: a survey. Ad Hoc Networks, Vol. 7 n.3, pp. 537–568, 2009.
http://dx.doi.org/10.1016/j.adhoc.2008.06.003

Malan, D., Fulford-Jones, T. M., Welsh, Moulton–CodeBlue S, An ad-hoc sensor network infrastructure for emergency medical care, In Proceedings of International Workshop on Wearable and Implantable Body Sensor Networks, (page: 12, 2004).

L. Wang, Y. Xiao, A survey of energy-efficient scheduling mechanisms in sensor networks. Mobile Network Application, Vol. 11n.5, pp. 723-740, 2006.
http://dx.doi.org/10.1007/s11036-006-7798-5

Tilak, S., Abu-Ghazaleh, NB., Heinzelman, W,. A taxonomy of wireless micro-sensor network models, ACM SIGMOBILE, (page 28-36: 2006).
http://dx.doi.org/10.1145/565702.565708

J. Yick, B. Mukherjee, D. Ghosal, Wireless sensor network survey, Computer Networks., Vol. 52, n.12, pp. 2292, 2008.
http://dx.doi.org/10.1016/j.comnet.2008.04.002

Heinzelman, WR., Chandrakasan, A., Balakrishnan H, Energy-efficient communication protocol for wireless microsensor networks, In Proceedings of the 33rd IEEE Hawaii International Conference on System Sciences, IEEE Explore (page: 10-18, 2010).
http://dx.doi.org/10.1109/hicss.2000.926982

Young Jang K, Kim K, Yong Youn H: An energy efficient routing scheme for wireless sensor networks, International Conference on Computational Science and its Application Malaysia (page: 195-206, 2007).
http://dx.doi.org/10.1109/iccsa.2007.10

A. Hande, E. CemErsoy, Wireless sensor networks for healthcare: a survey. Computer Networks, Vol. 54, n. 15, pp. 2688, 2010.
http://dx.doi.org/10.1016/j.comnet.2010.05.003

Tao, L., Qing-Xin, Z., Luqiao, Z., An improvement for LEACH algorithm in wireless sensor network, In Proceedings of the 5th International Conference on Industrial Electronics and Application, IEEE Explore (Page: 1811-1814,2010).
http://dx.doi.org/10.1109/iciea.2010.5515365

Varga A: OMNeT++ Manual. http://www.omnetpp.org, 2002-03-16/2003-11-02.

Memon, J., Abd Rozan, M.Z., Uddin, M., Abubakar, A., Chiroma, H., Daud, D., Randomized text encryption: A new dimension in cryptography, (2014) International Review on Computers and Software (IRECOS), 9 (2), pp. 365-373..

Sandhya, M.K., Murugan, K., Eliminating False Data and improving network lifetime using mobile data collector in wireless sensor networks, (2014) International Review on Computers and Software (IRECOS), 9 (1), pp. 9-17.

Alla, S.B., Ezzati, A., A QoS-guaranteed coverage and connectivity preservation routing protocol for heterogeneous wireless sensor networks, (2012) International Journal on Communications Antenna and Propagation (IRECAP), 2 (6), pp. 363-371.

Eroglu, A., Design of wireless data acquisition sensor system for health care applications, (2012) International Journal on Communications Antenna and Propagation (IRECAP), 2 (6), pp. 386-391.

Krief, F., Bennani, Y., Gomes, D., Neuman de Souza, J., LECSOM: A low-energy routing algorithm based on SOM clustering for static and mobile wireless sensor networks, (2011) International Journal on Communications Antenna and Propagation (IRECAP), 1 (1), pp. 55-63.

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