CDARGA: Cluster-Based Data Aggregation with Genetic Routing Algorithm in Wireless Sensor Networks
R. Kowsalya1, B. Rosiline Jeetha2

1R. Kowsalya*, Department of Computer Science (PG), PSGR Krishnammal College for Women, Coimbatore, India.
2Dr. B. Rosiline Jeetha, Department of Computer Science, Dr. N.G.P Arts and Science College, Coimbatore, India.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on March 30, 2020. | PP: 2976-2982 | Volume-8 Issue-6, March 2020. | Retrieval Number: F844303862/2020©BEIESP | DOI: 10.35940/ijrte.F8443.038620

Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (

Abstract: In the wireless sensor networks (WSNs), the upholding the energy and routing formation at every sensor node is the major issues. The distance from base station and internal node mainly has imbalanced in the energy consumption during transformation of the data. To reduce the energy upholding and the data aggregation routing issues in Centralized Clustering-Task Scheduling for wireless sensor networks (WSNs), this paper focuses on a Cluster-Based Data Aggregation Routing with Genetic search Algorithm (CDARGA) , which reduces the energy consumption in a hyper round model. The proposed data aggregation routing protocol using the Genetic Algorithm (GA) estimates the fitness function using the three key parameters distance, energy, and Hyper round policy. The proposed methods were compared with RP-MAC and the experimental result shows that the proposed protocol is superior to RP-MAC protocol and the proposed algorithm improves the network lifetime which can used in real time application.
Keywords: Centralized Clustering, Data Aggregation, Genetic Algorithm, Hyper round policy.
Scope of the Article: Algorithm Engineering.