Performance evaluation of power optimization in wireless sensor networks using particle swarm optimization

  • Authors

    • Chandaluru Mohan Venkata Siva Prasad
    • Dr K. RaghavaRao
    • D Satish Kumar
    • A V. Prabhu
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10753
  • Bio-Inspired, Cluster, Power Optimization, PSO, Wireless Sensor Networks.

  • Abstract

    Wireless sensor networks are the sensors which are acclimated to sense the environmental condition like temperature, pressure, sultriness, moisture etc, sensing the environment parameters and sending them to the gateway and retrieving the aggregated data from the gateway to the end user. Power is the major constraint in wireless sensor networks. One must need to reduce the power consumption. Wireless sensor networks have sensor nodes in which each node has a processor, antenna and a battery. The batteries consume power so that we require increasing the lifetime of the battery for that some optimization techniques are required to reduce the power consumption. There are some techniques which are inspired from the lifestyle of animals. In this paper proposing an optimization technique which is inspired by the animal demeanor which reduces the power consumption of the sensor nodes which is particle swarm optimization (PSO) technique. PSO is inspired by the convivial demeanor of birds or schooling of fish. By utilizing this bio-inspired technique we can reduce the power consumed by the sensor nodes and at the same time lifetime of the batteries present in the sensor nodes are increased.

     

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  • How to Cite

    Mohan Venkata Siva Prasad, C., K. RaghavaRao, D., Satish Kumar, D., & V. Prabhu, A. (2018). Performance evaluation of power optimization in wireless sensor networks using particle swarm optimization. International Journal of Engineering & Technology, 7(2.7), 404-408. https://doi.org/10.14419/ijet.v7i2.7.10753

    Received date: 2018-03-28

    Accepted date: 2018-03-28

    Published date: 2018-03-18