EECLA: Clustering and Localization Techniques to Improve Energy Efficient Routing in Vehicle Tracking using Wireless Sensor Networks

  • Authors

    • Annapurna Gummadi
    • Dr K Raghava Rao
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.11425
  • EECLA, MSDU, MSA, AVT

  • Abstract: The applications of wireless sensor networks became more usable in daily life. In spite of many proposed techniques and methods, energy efficient routing in WSN is still an open issue. In this paper we made an attempt to give one of the solution for this problem in vehicle tracking system based on the vehicle sensor nodes. We studied many existing works, were failed in handling location and energy efficient routing of vehicle tracking properly. We proposed an algorithm which handles clustering and location at time and improves the performance of the system. This algorithm uses the fundamentals of LEACH, CLAEER and mean shifted algorithm. We conducted a sequence of experiments and our algorithm EECLA (Clustering and Localization Techniques to Improve Energy Efficient Routing in Wireless Sensor Networks) has given better results than the existed one with more accuracy.

     

     

  • References

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      [3] Yutian Cao, GangWang, Dongmei Yan and Zhongming Zhao, Two Algorithms for the Detection and Tracking of Moving Vehicle Targets in Aerial Infrared Image Sequences, Remote Sens. 2016,28;doi:10.3390/rs8010028,www.mdpi.com/journal/remotesensing.

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      [5] Annapurna Gummadi, K Raghava Rao, EECLA: Clustering And Localization Techniques To Improve Energy Efficient Routing In Wireless Sensor Networks, Journal of Theoretical and Applied Information Technology 15th January 2018 -- Vol. 96. No. 1 – 2018.

      [6] K. Raghava Rao, Selection of Anchor Nodes in Time of Arrival for Localization in Wireless Sensor Networks.

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      [8] Annapurna Gummadi, K Raghava Rao, A Survey1 on Clustering Techniques to Improve Energy Efficient Routing in Wireless Sensor Networks, Volume 10, Number 58 (2015) Special Issues.

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  • How to Cite

    Gummadi, A., & K Raghava Rao, D. (2018). EECLA: Clustering and Localization Techniques to Improve Energy Efficient Routing in Vehicle Tracking using Wireless Sensor Networks. International Journal of Engineering & Technology, 7(2.7), 926-929. https://doi.org/10.14419/ijet.v7i2.7.11425