Energy-efficient modified LEACH protocol for IoT application

Energy-efficient modified LEACH protocol for IoT application

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Wireless sensor networks (WSNs) have a wide range of applications in various fields. One of the most recent emerging applications are in the world of Internet of Things (IoT), which allows inter-connection of different objects or devices through the Internet. However, limited battery power is the major concern of WSNs as compared to mobile ad-hoc network, which affects the longevity of the network. Hence, a lot of research has been focused on to minimise the energy consumption of the WSNs. Designing of a hierarchical clustering algorithm is one of the numerous approaches to minimise the energy of the WSNs. In this study, the existing low-energy adaptive clustering hierarchy (LEACH) clustering protocol is modified by introducing a threshold limit for cluster head selection with simultaneously switching the power level between the nodes. The proposed modified LEACH protocol outperforms as compared to the existing LEACH protocol with 67% rise in throughput and extending the number of alive nodes to 1750 rounds which can be used to enhance the WSN lifetime. When compared with other energy efficient protocols, it is found that the proposed algorithm performs better in terms of stability period and network lifetime in different scenarios of area, energy and node density.


    1. 1)
      • 1. Yick, J., Mukherjee, B., Ghosal, D.: ‘Wireless sensor network survey’, Comput. Netw., 2008, 52, (12), pp. 22922330.
    2. 2)
      • 2. Kim, D.S., Chung, Y.J.: ‘Self-organization routing protocol supporting mobile nodes for wireless sensor network’. First Int. Multi-Symp. on Computer and Computational Sciences, IMSCCS ‘06, Hanzhou, Zhejiang, China, 2006, vol. 2, pp. 622626.
    3. 3)
      • 3. Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., et al: ‘Wireless sensor networks: a survey’, Comput. Netw., 2002, 38, (4), pp. 393422.
    4. 4)
      • 4. Kumar, V., Jain, S., Tiwari, S., et al: ‘Energy efficient clustering algorithms in wireless sensor networks: a survey’, Int. J. Comput. Sci. Issues, 2011, 8, (5), pp. 8141694.
    5. 5)
      • 5. Zorzi, M., Gluhak, A., Lange, S., et al: ‘From today's intranet of things to a future internet of things: a wireless-and mobility-related view’, IEEE Wirel. Commun., 2010, 17, (6), pp. 4451.
    6. 6)
      • 6. Gubbi, J., Buyya, R., Marusic, S., et al: ‘Internet of things (IoT): a vision, architectural elements, and future directions’, Future Gener. Comput. Syst., 2013, 29, (7), pp. 16451660.
    7. 7)
      • 7. Padmavathi, D.G., Shanmugapriya, M., et al: ‘A survey of attacks, security mechanisms and challenges in wireless sensor networks’, arXiv preprint arXiv:09090576, 2009.
    8. 8)
      • 8. Singh, S.K., Kumar, P., Singh, J.P.: ‘A survey on successors of LEACH protocol’, IEEE Access, 2017, 5, pp. 42984328.
    9. 9)
      • 9. Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: ‘Energy-efficient communication protocol for wireless microsensor networks’. Proc. of the 33rd Annual Hawaii Int. Conf. on System Sciences, Maui, HI, USA, 2000, vol. 2, p. 10.
    10. 10)
      • 10. Mahapatra, R.P., Yadav, R.K.: ‘Descendant of LEACH based routing protocols in wireless sensor networks’, Procedia Comput. Sci., 2015, 57, pp. 10051014.
    11. 11)
      • 11. Heinzelman, W.B., Chandrakasan, A.P., Balakrishnan, H.: ‘An application-specific protocol architecture for wireless microsensor networks’, IEEE Trans. Wirel. Commun., 2002, 1, (4), pp. 660670.
    12. 12)
      • 12. Muruganathan, S.D., Ma, D.C.F., Bhasin, R.I., et al: ‘A centralized energy-efficient routing protocol for wireless sensor networks’, IEEE Commun. Mag., 2005, 43, (3), pp. S813.
    13. 13)
      • 13. Yadav, L., Sunitha, C.: ‘Low energy adaptive clustering hierarchy in wireless sensor network (LEACH)’, Int. J. Comput. Sci. Inf. Technol., 2014, 5, (3), pp. 46614664.
    14. 14)
      • 14. Wu, W., Xiong, N., Wu, C.: ‘Improved clustering algorithm based on energy consumption in wireless sensor networks’, IET Netw., 2017, 6, (3), pp. 4753.
    15. 15)
      • 15. Tsai, Y.R.: ‘Coverage-preserving routing protocols for randomly distributed wireless sensor networks’, IEEE Trans. Wirel. Commun., 2007, 6, (4), pp. 12401245.
    16. 16)
      • 16. Wang, W., Wang, Q., Luo, W., et al: ‘Leach-h: an improved routing protocol for collaborative sensing networks’. Int. Conf. on Wireless Communications & Signal Processing, WCSP, Nanjing, China, 2009, pp. 15.
    17. 17)
      • 17. Thein, M.C.M., Thein, T.: ‘An energy efficient cluster-head selection for wireless sensor networks’. 2010 Int. Conf. on Intelligent Systems, Modelling and Simulation (ISMS), Liverpool, UK, 2010, pp. 287291.
    18. 18)
      • 18. Sasikala, A.S.D., Sangameswaran, N., Aravindh, P., et al: ‘Improving the energy efficiency of LEACH protocol using VCH in wireless sensor network’, Int. J. Eng. Dev. Res., 2015, 3, (2), pp. 918924.
    19. 19)
      • 19. Ahlawat, A., Malik, V.: ‘An extended vice-cluster selection approach to improve v leach protocol in WSN’. 2013 Third Int. Conf. on Advanced Computing and Communication Technologies (ACCT), Rohtak, India, 2013, pp. 236240.
    20. 20)
      • 20. Sindhwani, N., Vaid, R.: ‘V LEACH: an energy efficient communication protocol for WSN’, Mechanica Confab, 2013, 2, (2), pp. 7984.
    21. 21)
      • 21. Oliveira, L.B., Wong, H.C., Bern, M., et al: ‘SecLEACH – a random key distribution solution for securing clustered sensor networks’. Fifth IEEE Int. Symp. on Network Computing and Applications, 2006, NCA 2006, Cambridge, MA, USA, 2006, pp. 145154.
    22. 22)
      • 22. Gnanambigai, J., Rengarajan, N., Anbukkarasi, K.: ‘Q-LEACH: an energy efficient cluster based routing protocol for wireless sensor networks’. 2013 7th Int. Conf. on Intelligent Systems and Control (ISCO), Coimbatore, India, 2013, pp. 359362.
    23. 23)
      • 23. Kandpal, R., Singh, R.: ‘Improving lifetime of wireless sensor networks by mitigating correlated data using LEACH protocol’. 2016 1st India Int. Conf. on Information Processing (IICIP), Delhi, India, 2016, pp. 16.
    24. 24)
      • 24. Handy, M., Haase, M., Timmermann, D.: ‘Low energy adaptive clustering hierarchy with deterministic cluster-head selection’. 4th Int. Workshop on Mobile and Wireless Communications Network, Stockholm, Sweden, 2002, pp. 368372.
    25. 25)
      • 25. Tong, M., Tang, M.: ‘LEACH-b: an improved leach protocol for wireless sensor network’. 2010 6th Int. Conf. on Wireless Communications Networking and Mobile Computing (WiCOM), Chengdu, China, 2010, pp. 14.
    26. 26)
      • 26. Siavoshi, S., Kavian, Y.S., Sharif, H.: ‘Load-balanced energy efficient clustering protocol for wireless sensor networks’, IET Wirel. Sens Syst., 2016, 6, (3), pp. 6773.
    27. 27)
      • 27. Yassein, M.B., Khamayseh, Y., Mardini, W., et al: ‘Improvement on leach protocol of wireless sensor network VLEACH’, Int. J. Digit. Content Technol. Appl., 2009, 3, (2), pp. 132136.
    28. 28)
      • 28. Ye, M., Li, C., Chen, G., et al: ‘Eecs: an energy efficient clustering scheme in wireless sensor networks’. 24th IEEE Int. Performance, Computing, and Communications Conf. (IPCCC), Phoenix, AZ, USA, 2005, pp. 535540.
    29. 29)
      • 29. Mahmood, D., Javaid, N., Mahmood, S., et al: ‘ModLEACH: a variant of leach for WSNs’. 2013 Eighth Int. Conf. on Broadband and Wireless Computing, Communication and Applications, Compiegne, France, 2013, pp. 158163.
    30. 30)
      • 30. Abidoye, A.P., Obagbuwa, I.C.: ‘Models for integrating wireless sensor networks into the Internet of things’, IET Wirel. Sens. Syst., 2017, 7, (3), pp. 6572.
    31. 31)
      • 31. Rasheed, M.B., Javaid, N., Khan, Z.A., et al: ‘E-HORM: An energy-efficient hole removing mechanism in wireless sensor networks’. 2013 26th Annual IEEE Canadian Conf. on Electrical and Computer Engineering (CCECE), Regina, SK, Canada, 2013, pp. 14.
    32. 32)
      • 32. Li, J., Mohapatra, P.: ‘An analytical model for the energy hole problem in many-to-one sensor networks’. IEEE Vehicular Technology Conf., Dallas, TX, USA, 1999, 2005, vol. 62, p. 2721.
    33. 33)
      • 33. Elbhiri, B., Saadane, R., Aboutajdine, D., et al: ‘Developed distributed energy-efficient clustering (DDEEC) for heterogeneous wireless sensor networks’. 2010 5th Int. Symp. on I/V Communications and Mobile Network (ISVC), Rabat, Morocco, 2010, pp. 14.
    34. 34)
      • 34. Perera, C., Zaslavsky, A., Christen, P., et al: ‘Sensing as a service model for smart cities supported by internet of things’, Trans. Emerg. Telecommun. Technol., 2014, 25, (1), pp. 8193.
    35. 35)
      • 35. Abbasi, A.A., Younis, M.: ‘A survey on clustering algorithms for wireless sensor networks’, Comput. Commun., 2007, 30, (14), pp. 28262841.

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