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FNR algorithm for Wireless Sensor Networks using Particle Swarm Optimization algorithm


Tathappa Rachannanavar , UBDT College of Engineering, Davanagere-577004 ; Hanumanthappa S N, UBDT College of Engineering, Davanagere-577004


Wireless Sensor Networks, Grade Diffusion algorithm, Dynamic Source Routing (DSR) Protocol, Particle Swarm Optimization algorithm


Wireless Sensor Networks are the wireless networks contain spatially speckled autonomous devices (sensors) to monitor the physical conditions and ecological parameters. Nodes in WSNs (Wireless Sensor Networks) are very prone to failures due to energy depletion, defective hardware and environmental conditions. Fault tolerance is one of major issue in WSNs. This paper proposes a fault node recovery algorithm, which will improve the life time of WSN when nodes shut down. The FNR (fault node recovery) algorithm proposed here is the combination of Grade Diffusion algorithm and Particle Swan Optimization algorithm which will detect and recover the fault node in most efficient way and replace the sensor nodes with more reused routing paths and also increases the number of active nodes. Reduce the rate of data loss with reduced energy consumption.

Other Details

Paper ID: IJSRDV3I70402
Published in: Volume : 3, Issue : 7
Publication Date: 01/10/2015
Page(s): 696-700

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