• DocumentCode
    147161
  • Title

    An Efficient Cluster Head Selection and Aggregation for Wireless Sensor Networks

  • Author

    Varalakshmi, P. ; Nandakumar, R. ; Umadevi, M.

  • Author_Institution
    Dept. of Inf. Technol., Anna Univ., Chennai, India
  • fYear
    2014
  • fDate
    3-5 April 2014
  • Firstpage
    1318
  • Lastpage
    1321
  • Abstract
    The objective of this paper is to increase the lifetime of the Wireless Sensor Network (WSN) through balancing the energy of the sensors and reducing the number of transmissions. Sensor nodes are limited in power. It is difficult to recharge the battery of sensor. Utilization of energy efficiently is the main issue of WSN. Clustering and Aggregation are the energy efficient methods of WSN. Hence we propose an Efficient Cluster Head Selection and Aggregation (ECSHA) algorithm to minimize energy consumption. Cluster head selection is based on the number of neighbors, residual energy and distance of a node from the centre of the cluster. And also we propose a filter based approach for reducing the number of transmissions. Simulation results show that the proposed algorithm achieves higher energy efficiency and increases network lifetime.
  • Keywords
    power consumption; power utilisation; telecommunication power management; wireless sensor networks; ECSHA; WSN; aggregation; efficient cluster head selection; energy consumption; energy utilization; network lifetime; residual energy; sensor nodes; wireless sensor networks; Algorithm design and analysis; Clustering algorithms; Energy consumption; Filtering algorithms; Humidity; Wireless communication; Wireless sensor networks; Aggregation; Clustering; Energy efficiency; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing (ICCSP), 2014 International Conference on
  • Conference_Location
    Melmaruvathur
  • Print_ISBN
    978-1-4799-3357-0
  • Type

    conf

  • DOI
    10.1109/ICCSP.2014.6950063
  • Filename
    6950063