Cluster Head Inspired Energy Efficient Data Aggregation Scheme for Wireless Sensor Network
Simarjeet Kaur1, Navdeep Kaur2, Kamaljit Singh Bhatia3
1Simarjeet Kaur, Assistant Professor, Department of Computer Science & Engineering, Chandigarh University, Gharaun, and Research Scholar, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India.
2Navdeep Kaur, Professor, Department of Computer Science, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India.
3Kamaljit Singh Bhatia, Assistant Professor, Department of Electrical Engineering, IK Gujral Punjab Technical University, Batala Campus, Punjab, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 2829-2835 | Volume-8 Issue-8, June 2019 | Retrieval Number: H7010068819/19©BEIESP
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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: Data aggregation has come out as a major approach to lessen the number of sensor nodes transmission and thus minimizing overall power consumption in the network. This process is important because of the limited resources available in the network. Path discovery process and energy utilization in a significant manner are important so that all the data can be collected properly, and least energy is utilized. This paper presents a grouping mechanism with advanced route discovery process optimized by Cuckoo Search Algorithm and cross-validated by Neural Network. An improved LEACH has been proposed with an aim to decrease energy consumption. To check the efficiency of the proposed work, varied Quality of Service parameters have been considered, such as Throughput, Packet delivery Ratio, Delay and Energy consumption. A comparative analysis has been performed using MATLAB to verify the efficiency of the proposed work with the existing work. The enhancement in the parameters is due to the sophisticated cross-validation of the proposed model by Artificial Intelligence and optimized CS Algorithm.
Keyword: Big Data Analytics Application Systems.
Scope of the Article: Distributed Computing