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• W2893086469 abstract "Wireless Sensor Network (WSN) gives the accessibility of tiny and low-cost Sensor Nodes (SNs) with ability of observing, detecting and monitoring the environment. These SNs are deployed randomly inside the network. Due to the limited energy resources of SN, energy consumption is the major key in design of the cluster and route in WSN. In this paper, clusters are generated based on the K-means with Particle Swarm Optimization (PSO) algorithm and the routing is established by Glowworm Swarm Optimization (GSO), it is named as a PSO-GSO-WSN. This method improves the overall performance of system in terms of energy consumption of the node, Network life time, routing convergence and path optimization. The Performance of PSO-GSO-WSN is compared with the LEACH technique and the results were promising." @default.
• W2893086469 created "2018-10-05" @default.
• W2893086469 creator A5042621471 @default.
• W2893086469 creator A5071646027 @default.
• W2893086469 date "2018-02-01" @default.
• W2893086469 modified "2023-09-24" @default.
• W2893086469 title "An Energy aware Routing Mechanism in WSNs using PSO and GSO Algorithm" @default.
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• W2893086469 doi "https://doi.org/10.1109/spin.2018.8474140" @default.
• W2893086469 hasPublicationYear "2018" @default.
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