International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 147 - Issue 2 |
Published: Aug 2016 |
Authors: Himani Kathuria, Sachin Dhawan |
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Himani Kathuria, Sachin Dhawan . A Genetic Improved Parametric Clustering to Optimize WSN Communication. International Journal of Computer Applications. 147, 2 (Aug 2016), 1-6. DOI=10.5120/ijca2016910982
@article{ 10.5120/ijca2016910982, author = { Himani Kathuria,Sachin Dhawan }, title = { A Genetic Improved Parametric Clustering to Optimize WSN Communication }, journal = { International Journal of Computer Applications }, year = { 2016 }, volume = { 147 }, number = { 2 }, pages = { 1-6 }, doi = { 10.5120/ijca2016910982 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2016 %A Himani Kathuria %A Sachin Dhawan %T A Genetic Improved Parametric Clustering to Optimize WSN Communication%T %J International Journal of Computer Applications %V 147 %N 2 %P 1-6 %R 10.5120/ijca2016910982 %I Foundation of Computer Science (FCS), NY, USA
Sensor network is critical real time network used in application specific areas. The restricted energy and coverage increases the communication criticality. Because of this, the network follows an architecture driven communication for effective resource utilization. In this paper, a mobility adaptive cluster optimization model is presented to improve the network communication. At the earlier phase of this model, the individual node analysis is applied under load, stability, energy and connectivity parameters. Based on which the cluster election is performed. After identifying the clusters, the range driven separation is performed to provide the single or multihop path. In the final stage, the route optimization is provided for external cluster nodes as well as aggregative cluster nodes. For route generation, a genetic driven evolutionary process is defined. The fitness rule for genetic is applied under stability, distance and energy parameters. Finally, all the cluster heads will deliver the aggregative data to base station. The simulation results show that the model has improved the network life and communication.