Appraisal of PSO Algorithm over Genetic Algorithm in WSN Using NS2

A Wireless Sensor Networks is a group of spatially distributed and dedicated autonomous sensors with a communication infrastructure for monitoring and recording environmental conditions and or Genetic Algorithm the collected data as central location. The nodes in WSNs (Wireless Sensor Networks) are very prone to failures due to energy depletion, defective hardware and environmental conditions and breakdown in the onboard electronics. Loosing network connectivity has an adverse effect on the applications and hinders the coordination among some nodes. Thus fault tolerance is one of major issue in WSNs. This paper mainly focuses on the parameter comparison indeed the advantages of PSO (Practical Swarm Optimization) Algorithm over GA (Genetic Algorithm) in the WSNs using network simulator version 2. This paper considers the energy efficiency and some other parameters of the nodes and compares the algorithm for the same.