Research Article Open Access

OPTIMIZING LOCALIZATION ROUTE USING PARTICLE SWARM-A GENETIC APPROACH

L. Lakshmanan1 and D. C. Tomar2
  • 1 Faculty of Computer Science and Engineering, Sathyabama University, Chennai, India
  • 2 Department of IT, Jerusalem College of Engineering, Chennai, India

Abstract

One of the most key problems in wireless sensor networks is finding optimal algorithms for sending packets from source node to destination node. Several algorithms exist in literature, since some are in vital role other may not. Since WSN focus on low power consumption during packet transmission and receiving, finally we adopt by merging swarm particle based algorithm with genetic approach. Initially we order the nodes based on their energy criterion and then focusing towards node path; this can be done using Proactive route algorithm for finding optimal path between Source-Destination (S-D) nodes. Fast processing and pre traversal can be done using selective flooding approach and results are in genetic. We have improved our results with high accuracy and optimality in rendering routes.

American Journal of Applied Sciences
Volume 11 No. 3, 2014, 520-527

DOI: https://doi.org/10.3844/ajassp.2014.520.527

Submitted On: 24 September 2013 Published On: 20 January 2014

How to Cite: Lakshmanan, L. & Tomar, D. C. (2014). OPTIMIZING LOCALIZATION ROUTE USING PARTICLE SWARM-A GENETIC APPROACH. American Journal of Applied Sciences, 11(3), 520-527. https://doi.org/10.3844/ajassp.2014.520.527

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Keywords

  • Particle Swarm Optimization
  • Wireless Sensor Network
  • Proactive Routing
  • Reactive Routing
  • Genetic