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DOI: 10.14569/IJACSA.2017.081152
PDF

Efficient Node Monitoring Mechanism in WSN using Contikimac Protocol

Author 1: Shahzad Ashraf
Author 2: Mingsheng Gao
Author 3: Zhengming Chen
Author 4: Syed Kamran Haider
Author 5: Zeeshan Raza

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 11, 2017.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Wireless Sensor Network is monitored with ContikiMAC Cooja flavor to diagnose the energy utilization ratio by nodes and the fault detection process in distributed approach; adopted the Low power Listening (LPL) mechanism with ContikiMAC to prolong the network’s lifetime. LPL locate the root cause of communication issue, get rid of the interruption problems, and get back normal communication state. The LPL mechanism reduces the energy utilization in centralized and distribute approaches. Even more, the distributed approach is best suited for network monitoring when energy utilization is main objective in the presence of LPL. It is also important how soon the faulty node can be detected. In this case, latency has vital contributions in monitoring mechanism and latency is achieved by developing the efficient faulty node detection methodology.

Keywords: Wireless sensor networks; low power listening; ContikiMAC; Cooja

Shahzad Ashraf, Mingsheng Gao, Zhengming Chen, Syed Kamran Haider and Zeeshan Raza. “Efficient Node Monitoring Mechanism in WSN using Contikimac Protocol”. International Journal of Advanced Computer Science and Applications (IJACSA) 8.11 (2017). http://dx.doi.org/10.14569/IJACSA.2017.081152

@article{Ashraf2017,
title = {Efficient Node Monitoring Mechanism in WSN using Contikimac Protocol},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.081152},
url = {http://dx.doi.org/10.14569/IJACSA.2017.081152},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {11},
author = {Shahzad Ashraf and Mingsheng Gao and Zhengming Chen and Syed Kamran Haider and Zeeshan Raza}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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