Object Tracking Techniques in Wireless Sensor Networks

AUTHORS

S. Mohith,Department of Computer Science & Engineering Vignan’s Institute of Information Technology (A) Visakhapatnam, AP, India
E. Stephen Neal Joshua,Department of Computer Science & Engineering Vignan’s Institute of Information Technology (A) Visakhapatnam, AP, India
Ch. Sudhakar,Department of Computer Science & Engineering Vignan’s Institute of Information Technology (A) Visakhapatnam, AP, India

ABSTRACT

WSN (Wireless Sensor Network) is an accumulation of battery fueled minor sensor hubs which have a capacity of gathering, handling, putting away and exchanging the detected information starting with one hub then onto the next. These abilities influence sensor to the network utilized for some applications like natural checking, interloper location, protest following and some more. Because of a few asset imperatives outlining following calculation as far as following quality and vitality proficiency is testing issue in WSN and has increased overall consideration lately. In this study paper, we diagram question following techniques because of system engineering.

 

KEYWORDS

wireless sensor network, object tracking, clustering, prediction

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CITATION

  • APA:
    Mohith,S.& Joshua,E.S.N.& Sudhakar,C.(2018). Object Tracking Techniques in Wireless Sensor Networks. International Journal of Hybrid Information Technology, 11(4), 1-10. 10.21742/IJHIT.2018.11.4.01
  • Harvard:
    Mohith,S., Joshua,E.S.N., Sudhakar,C.(2018). "Object Tracking Techniques in Wireless Sensor Networks". International Journal of Hybrid Information Technology, 11(4), pp.1-10. doi:10.21742/IJHIT.2018.11.4.01
  • IEEE:
    [1] S.Mohith, E.S.N.Joshua, C.Sudhakar, "Object Tracking Techniques in Wireless Sensor Networks". International Journal of Hybrid Information Technology, vol.11, no.4, pp.1-10, Dec. 2018
  • MLA:
    Mohith S., Joshua E. Stephen Neal and Sudhakar Ch.. "Object Tracking Techniques in Wireless Sensor Networks". International Journal of Hybrid Information Technology, vol.11, no.4, Dec. 2018, pp.1-10, doi:10.21742/IJHIT.2018.11.4.01
 

COPYRIGHT

Creative Commons License
© 2018 Mohith S et al. Published by Global Vision Press. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CCBY4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

ISSUE INFO

  • Volume 11, No. 4, 2018
  • ISSN(p):1738-9968
  • ISSN(e):2652-2233
  • Published:Dec. 2018

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