Model of Reconfigured Sensor Network for the Determination of Moving Objects Location

  • Andrii Petrashenko
  • Denis Zamiatin
  • Oleksii Donchak
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 754)


In recent years, the implementation of distributed sensor networks has been allowing to create more and more sophisticated systems especially for environment monitoring. Among those applications are detecting, locating and tracking static or moving objects of interest. The advances of sensor technologies open up new possibilities of solving those sorts of tasks. One of the approaches is the Time Difference of Arrival algorithm, which is designed for locating an acoustic source. Moreover, sensor based systems usually produce a great deal of information streams those are subjected to further analysis: clustering, classification, regression etc. Hence, it is important to develop effective methods of determinations of moving object location based on a special model of reconfigured sensor network. The aim of the research is to propose a new model of reconfigured sensor network for the determination of the moving objects location using Time Difference of Arrival algorithm. The simulation study is presented.


Distributed sensor networks TDOA Moving object location Environment monitoring 


  1. 1.
    Kaur, J., Kaur, K.: Internet of Things: a review on technologies, architecture, challenges, applications, future trends. Int. J. Comput. Netw. Inf. Secur. (IJCNIS) 9(4), 57–70 (2017). Scholar
  2. 2.
    Lule, E., Bulega, T.E.: A Scalable Wireless Sensor Network (WSN) based architecture for fire disaster monitoring in the developing world. Int. J. Comput. Netw. Inf. Secur. (IJCNIS) 7(2), 40–49 (2015). Scholar
  3. 3.
    Saxena, P., Pahuja, R., Khurana, M.S., Satija, S.: Real-time fuel quality monitoring system for smart vehicles. Int. J. Intell. Syst. Appl. (IJISA) 8(11), 19–26 (2016). Scholar
  4. 4.
    Accuracy Studies for TDOA and TOA Localization. Accessed 01 Nov 2017
  5. 5.
    Xu, W., He, Z.-S.: A weighed least square TDOA location algorithm for TDMA multi-target. Int. J. Wirel. Microwave Technol. (IJWMT) 1(2), 16–25 (2011). Scholar
  6. 6.
    TDOA Acoustic Localization. Accessed 01 Nov 2017
  7. 7.
    Singh, J.: Tracking of moving object using centroid based prediction and boundary tracing scheme. Int. J. Image Graph. Signal Process. (IJIGSP) 9(8), 59–66 (2017). Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Andrii Petrashenko
    • 1
  • Denis Zamiatin
    • 1
  • Oleksii Donchak
    • 1
  1. 1.National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”KyivUkraine

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