Improvement in LEACH Protocol for Energy Efficiency
Monika Rajput1, Sanjay Kumar Sharma2, Pallavi Khatri3
1Ms. Monika Rajput*, Computer Science, Banasthali Vidyapith, Rajasthan, India.
2Dr. Sanjay Kumar Sharma, Computer Science, Banasthali Vidyapith, Rajasthan, India.
3Dr. Pallavi Khatri, Computer Science and Engineering, ITM University, Gwalior, India.
Manuscript received on December 14, 2019. | Revised Manuscript received on December 23, 2019. | Manuscript published on January 10, 2020. | PP: 2063-2069 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8907019320/2020©BEIESP | DOI: 10.35940/ijitee.C8907.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Clustering methods in WSN for the sake of energy efficiency has been addressed by various researchers due to promising improvements in the performances. The energy consumption still possesses an opportunity for improvement in terms of complexity reduction, reduction in energy consumption and lifetime of the network. The work presented in this paper contributes a novel strategy for energy efficiency in WSN. This work consists of clustering technique using K-medoid, ANFIS and optimized ANFIS using firefly. The simulation analysis shows significant improvement in performance in terms of residual energy and energy consumption parameters along with number of dead and alive nodes with respect to number of iterations. The proposed method outperforms compared to basic LEACH protocol.
Keywords: LEACH, WSN, K-Medoid, Firefly, ANFIS, Clustering, Optimization.
Scope of the Article: Clustering