ER-KFPSO: Energetic Routing Technique Based Kernel Fuzzy Latency Particle Swarm Optimization Algorithm in Wireless Sensor Network
Deepa N.1, Devi Aruna D.2

1Deepa N., Department of Computer Science (PG), PSGR Krishnammal College for Women, Coimbatore, India.
2Dr. Devi Aruna D., Assistant professor, Department of Computer Applications, Dr. N.G.P Arts and Science College, Coimbatore, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 30, 2020. | PP: 1196-1201 | Volume-8 Issue-6, March 2020. | Retrieval Number: E7028018520/2020©BEIESP | DOI: 10.35940/ijrte.E7028.038620

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Abstract: The applications of Wireless Sensor Networks in the recent times are wide in various places in sensor forms. Subsequently, the routing has to be done in a more energetic manner in line with the mobility and not compromising the QoS. Various techniques were proposed for the energetic routing in order to make a significant progress in the stability of the energy as it is a vital parameter of a WSN in times of data transmission for communication. These techniques are used for the life time enhancement of the sensor networks. Load balancing methods along with energetic routing are made used at the time of clustering. This article proposes an Energetic Routing which is based on the Kernel Fuzzy Latency PSO (ER-KFPSO) for supporting the energy consumption in Wireless Sensor Networks for improvisation in the life time of the network. The proposed method gives assistance in shaping the clusters by making use of the Energy Fitness value along with assignment of CHs. The proposed technique achieves better results on experiments when compared with the other existing methods that uses Particle Swarm optimization based nodes and life time prediction method through linkage (PNLP).
Keywords: Quality of Service, Wireless Sensor Networks, Energetic Routing, Particle Swarm optimization, Cluster Heads.
Scope of the Article: Energy harvesting and transfer for wireless sensor networks.