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Research Article | Open Access |

Optimizing Power-Based Indoor Tracking System for Wireless Sensor Networks using ZigBee

Author 1: Ahmad H. Mahafzah Author 2: Hesham Abusaimeh
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 12 · Published 2018 · Cited by 10

DOI: 10.14569/IJACSA.2018.091233

Abstract

Evolution of wireless and digital communication gives birth to the smaller but powerful battery-equipped devices which are easy to maintain and perform the desired tasks. ZigBee is a Wireless Personal Area Network (WPAN) used for home or indoor automation, collecting data for medical research by using the low power digital radios to handle the low data rate. In ZigBee network, sensor nodes are heterogeneously deployed and continuously moving. To detect and tracking of those sensor nodes are challenging in terms of accuracy, calculation time and energy consumption. In this paper, proposed system uses the Received Signal Strength Indication (RSSI) protocol for localization, trilateration for fetching the exact coordinates of sensor nodes and these protocols helps to overcome the problem which eventually led to prolonged sensor network, accurate localization.

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How to Cite this Article

Mahafzah, A. H., & Abusaimeh, H. (2018). Optimizing Power-Based Indoor Tracking System for Wireless Sensor Networks using ZigBee. International Journal of Advanced Computer Science and Applications, 9(12). https://doi.org/10.14569/IJACSA.2018.091233

Mahafzah, Ahmad H., and Hesham Abusaimeh. "Optimizing Power-Based Indoor Tracking System for Wireless Sensor Networks using ZigBee." International Journal of Advanced Computer Science and Applications, vol. 9, no. 12, 2018, https://doi.org/10.14569/IJACSA.2018.091233.

@article{Mahafzah2018,
  title     = {Optimizing Power-Based Indoor Tracking System for Wireless Sensor Networks using ZigBee},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {12},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Ahmad H. Mahafzah and Hesham Abusaimeh},
  doi       = {10.14569/IJACSA.2018.091233},
  url       = {https://doi.org/10.14569/IJACSA.2018.091233}
}

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