• DocumentCode
    3778980
  • Title

    Bio inspired algorithm for disaster management

  • Author

    S. D. Chavan;A. V. Kulkarni;Tejashree Khot;Neeta Patil

  • Author_Institution
    Sinhagad college of Engineering, Pune, Maharashtra, India
  • fYear
    2015
  • Firstpage
    776
  • Lastpage
    781
  • Abstract
    Disaster occurs unexpectedly and affects communication system severely. Disaster management is an enormous task. They are not confined to any particular location neither their time period is predictable. Therefore, it is necessary that there is proper management to optimize efficiency of planning and response. Due to limited resources efforts at the governmental, private and community levels are necessary. Disaster not only affects life and property but also causes breakdown of communication system. In this paper we proposed bio inspired algorithms for disaster management. Bio inspired algorithms such as Genetic Algorithm and Artificial Bee Colony Algorithms are proposed for efficient disaster management. Bio inspired algorithms helps in maintaining communication system even in disaster conditions. Number of parameters such as throughput, End to End delay and Energy consumption are enhanced using bio inspired algorithms. Result shows that bio inspired algorithms helps in enhancing performance of wireless sensor network in disaster conditions.
  • Keywords
    "Algorithm design and analysis","Genetic algorithms","Disaster management","Wireless sensor networks","Sociology","Statistics"
  • Publisher
    ieee
  • Conference_Titel
    Energy Systems and Applications, 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICESA.2015.7503455
  • Filename
    7503455