EE-LEACH: Energy Enhancement in LEACH to Improve Network Life Time of Homogeneous Wireless Sensor Network
DOI:
https://doi.org/10.26512/lstr.v12i1.29051Keywords:
Clustering. LEACH. Cluster Head. WSN. Energy Efficiency.Abstract
Purpose ”“ In the recent scenario, there are various issues related to wireless sensor networks such as clustering, routing, packet loss, network strength. The core functionality of primarily wireless sensor networks is sensor nodes that are randomly scattered over a specific area. The sensor senses the data and sends it to the base station. Energy consumption is an important issue in wireless sensor networks. Clustering and cluster head selection is an important method used to extend the lifetime of wireless sensor networks. The main goal of this research article is to reduce energy consumption using a clustering process such as CH determination, cluster formation, and data dissemination.
Methodology/approach/design ”“ The simulation in this paper was finished utilizing MATLAB programming methodology and the proposed technique is contrasted with the LEACH and MOD-LEACH protocols.
Findings ”“ The simulation results of this research show that the energy consumption and dead node ratio are improved of wireless sensor networks as compared to the LEACH and MOD-LEACH algorithms.
Originality/value ”“ In the wireless sensor network there are various constraints energy is one of them. In order to solve this problem use CH selection algorithms to reduce energy consumption and consequently increase network lifetime.
Downloads
References
survey on sensor networks,” IEEE Commun. Mag., vol. 40, no. 8, pp.
102”“114, Aug. 2002.
[2] P. Rawat, K. D. Singh, H. Chaouchi, and J. M. Bonnin, “Wireless sensor networks: a survey on recent developments and potential synergies,” J. Supercomput., vol. 68, no. 1, pp. 1”“48, Apr. 2014.
[3] P. S. Mehra, M. N. Doja, and B. Alam, “Codeword Authenticated Key Exchange (CAKE) light weight secure routing protocol for WSN,” Int. J. Commun. Syst., vol. 32, no. 3, 2019.
[4] S. Singh, “Energy efficient multilevel network model for heterogeneous WSNs,” Eng. Sci. Technol. an Int. J., vol. 20, no. 1, pp. 105”“115, Feb. 2017.
[5] S. Tanwar, N. Kumar, and J.-W. Niu, “EEMHR: Energy-efficient multilevel heterogeneous routing protocol for wireless sensor networks,” Int. J. Commun. Syst., vol. 27, no. 9, pp. 1289”“1318, Sep. 2014.
[6] M. Mittal, V. P. Singh, and S. R. K., “Random automatic detection of clusters,” in 2011 International Conference on Image Information Processing, 2011, pp. 1”“6.
[7] P. S. Mehra, M. N. Doja, and B. Alam, “Energy efficient self organising load balanced clustering scheme for heterogeneous WSN,” Int. Conf. Energy Econ. Environ. - 1st IEEE Uttar Pradesh Sect. Conf. UPCON-ICEEE 2015, no. March, 2015.
[8] A. Saxena, L. Mohan Goyal, and M. Mittal, “Comparative Analysis of Clustering Methods,” Int. J. Comput. Appl., vol. 118, no. 21, pp. 30”“35, May 2015.
[9] P. S. Mehra, M. N. Doja, and B. Alam, “Stable Period Extension for Heterogeneous Model in Wireless Sensor Network,” in Advances in Intelligent Systems and Computing, vol. 638, Springer, Singapore, 2018, pp. 479”“487.
[10] W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-Efficient Communication Protocol for Wireless Microsensor Networks,” 2000.
[11] W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, “An application-specific protocol architecture for wireless microsensor networks,” IEEE Trans. Wirel. Commun., vol. 1, no. 4, pp. 660”“670, Oct. 2002.
[12] M. J. Handy, M. Haase, and D. Timmermann, “Low energy adaptive clustering hierarchy with deterministic cluster-head selection,” in 2002 4th International Workshop on Mobile and Wireless Communications Network, MWCN 2002, 2002, pp. 368”“372.
[13] D. Jia, H. Zhu, S. Zou, and P. Hu, “Dynamic cluster head selection method for wireless sensor network,” IEEE Sens. J., vol. 16, no. 8, 2016.
[14] V. Loscri, G. Morabito, and S. Marano, “A two-levels hierarchy for low-energy adaptive clustering hierarchy (TL-LEACH),” in IEEE Vehicular Technology Conference, 2005, vol. 3, pp. 1809”“1813.
[15] L. B. Oliveira, H. C. Wong, M.Bern, R.Dahab, and A.A.F.Loureiro, “SecLEACH - A Random Key Distribution Solution for Securing Clustered Sensor Networks,” in Fifth IEEE International Symposium on Network Computing and Applications (NCA’06), 2006, pp. 145”“154.
[16] J.Chen and H.Shen, “MELEACH- an energy-effcient routing protocol for WSNs,” Chinese J. Sensors Actuators, vol. 20, no. 9, pp. 2089”“2094, 2007.
[17] M. S. Ali, T. Dey, and R. Biswas, “ALEACH: Advanced LEACH routing protocol for wireless microsensor networks,” in 2008 International Conference on Electrical and Computer Engineering, 2008, pp. 909”“914.
[18] J. Hong, J. Kook, S. Lee, D. Kwon, and S. Yi, “T-LEACH: The method of threshold-based cluster head replacement for wireless sensor networks,” Inf. Syst. Front., vol. 11, no. 5, pp. 513”“521, Nov. 2009.
[19] W. Wang, Q. Wang, W. Luo, M. Sheng, W. Wu, and L. Hao, “Leach-H: An improved routing protocol for collaborative sensing networks,” in 2009 International Conference on Wireless Communications & Signal Processing, 2009, pp. 1”“5.
[20] M. Tong and M. Tang, “LEACH-B: An Improved LEACH Protocol for Wireless Sensor Network,” in 2010 International Conference on Computational Intelligence and Software Engineering, 2010, pp. 1”“4.
[21] H. M. Abdulsalam and L. K. Kamel, “W-LEACH: Weighted Low Energy Adaptive Clustering Hierarchy Aggregation Algorithm for Data Streams in Wireless Sensor Networks,” in 2010 IEEE International Conference on Data Mining Workshops, 2010, pp. 1”“8.
[22] M. O. Farooq, A. B. Dogar, and G. A. Shah, “MR-LEACH: Multi-hop Routing with Low Energy Adaptive Clustering Hierarchy,” in 2010 Fourth International Conference on Sensor Technologies and Applications, 2010, pp. 262”“268.
[23] J.-L. Liu and C. V Ravishankar, “LEACH-GA: Genetic Algorithm-BasedEnergy-Efficient Adaptive Clustering Protocolfor Wireless Sensor Networks,” Int. J. Mach. Learn. Comput., pp. 79”“85, 2011.
[24] F. Al-Ma’aqbeh, O. Banimelhem, E. Taqieddin, F. Awad, and M. Mowafi, “Fuzzy logic based energy efficient adaptive clustering protocol,” in Proceedings of the 3rd International Conference on Information and Communication Systems - ICICS ’12, 2012, pp. 1”“5.
[25] H. Chen, C. Zhang, X. Zong, and C. Wang, “LEACH-G: an Optimal Cluster-heads Selection Algorithm based on LEACH,” J. Softw., vol. 8, no. 10, pp. 2660”“2667, 2013.
[26] D. Mahmood, N. Javaid, S. Mahmood, S. Qureshi, A. M. Memon, and T. Zaman, “MODLEACH: A Variant of LEACH for WSNs,” in 2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications, 2013, pp. 158”“163.
[27] S. Tyagi, S. K. Gupta, S. Tanwar, and N. Kumar, “EHE-LEACH: Enhanced heterogeneous LEACH protocol for lifetime enhancement of wireless SNs,” in 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2013, pp. 1485”“1490.
[28] J. Gnanambigai, N. Rengarajan, and K. Anbukkarasi, “Q-Leach: An energy efficient cluster based routing protocol for Wireless Sensor Networks,” in 2013 7th International Conference on Intelligent Systems and Control (ISCO), 2013, pp. 359”“362.
[29] A. Salim, W. Osamy, and A. M. Khedr, “IBLEACH: intra-balanced LEACH protocol for wireless sensor networks,” Wirel. Networks, vol. 20, no. 6, pp. 1515”“1525, Aug. 2014.
[30] S. Cho, L. Han, B. Joo, and S. Han, “P-LEACH: An Efficient Cluster-Based Technique to Track Mobile Sinks in Wireless Sensor Networks,” Int. J. Distrib. Sens. Networks, vol. 2014, no. 9, pp. 803”“835, Sep. 2014.
[31] P. K. Batra and K. Kant, “LEACH-MAC: a new cluster head selection algorithm for Wireless Sensor Networks,” Wirel. Networks, vol. 22, no. 1, pp. 49”“60, Jan. 2016.
[32] P. Marappan and P. Rodrigues, “An energy efficient routing protocol for correlated data using CL-LEACH in WSN,” Wirel. Networks, vol. 22, no. 4, pp. 1415”“1423, May 2016.
[33] W. Jerbi, A. Guermazi, and H. Trabelsi, “O-LEACH of Routing Protocol for Wireless Sensor Networks,” in 2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV), 2016, pp. 399”“404.
[34] G. Smaragdakis, I. Matta, and A. Bestavros, “SEP: A Stable Election
Protocol for clustered heterogeneous wireless sensor networks.” 2004
Downloads
Published
How to Cite
Issue
Section
License
By submitting this paper to the Law, State and Telecommunications Review,
I hereby declare that I agree to the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0).