An Enhanced LEACH in Wireless Sensor Network
Navjot Kaur1, Manish Mahajan2, Rajeev Sharma3
1Navjot Kaur, Department of CSE, Chandigarh Engineering College, Mohali (Punjab), India.
2Dr. Manish Mahajan, Department of CSE, Chandigarh Engineering College, Mohali (Punjab), India.
3Rajeev Sharma, Department of CSE, Chandigarh Engineering College, Mohali (Punjab), India.
Manuscript received on 05 August 2019 | Revised Manuscript received on 12 August 2019 | Manuscript Published on 26 August 2019 | PP: 703-709 | Volume-8 Issue-9S August 2019 | Retrieval Number: I11130789S19/19©BEIESP | DOI: 10.35940/ijitee.I1113.0789S19
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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: Wireless sensor networks (WSNs) consist of self-governing sensors that sense as well as monitor the area in which these nodes are deployed and distribute this information in a distributed manner. Presently, the WSN with long life and minimum energy consumption are in demand. To overcome this problem, Low Energy Adaptive Clustering Hierarchy (LEACH) is presented with the addition of Cuckoo Search (CS) and Support Vector Machine (SVM) concept. The problem of LEACH protocol like which node is considered as Cluster Head (CH) is overcome by CS. On the basis of healthy function, the nodes property such as energy consumed by each node is categorized. Those nodes that have higher energy compared to the defined function are put in one category and remaining in another category. These two categories of nodes are provided as an input to SVM and train the system. Therefore, the best node having the highest energy is considered as CH and hence enhanced the lifetime by saving the energy upto 21.86 %.
Keywords: WSN, LEACH, CS, SVM, CH.
Scope of the Article: Sensor Networks, Actuators for the Internet of Things