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DOI: 10.14569/IJACSA.2014.051113
PDF

Routing in Wireless Sensor Networks based on Generalized Data Stack Programming Model

Author 1: Hala Elhadidy
Author 2: Rawya Rizk
Author 3: Hassan T. Dorrah

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 5 Issue 11, 2014.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Generalized Data Stack Programming (GDSP) model describes that any affected activity or varying environment is intelligently self-recorded inside the system in form of stack-based layering types where stack is re-defined to be one of six classes. The multi-stacking network is presented thinking of that any system connects to other system to work properly. This addresses a novel way to investigate and analyze any system. Wireless Sensor Networks (WSNs) monitor the environment and take action accordingly. However, WSN suffers from some weakness due to nodes failure or interference which affects the network topology and the routing table at each node. In this paper, the GDSP model is applied on the routing problems in WSNs. A history matrix at the user side is proposed to retrieve and backward the events affected the network.

Keywords: GDSP; history matrix; multi-stacking network; network topology; routing table; WSN

Hala Elhadidy, Rawya Rizk and Hassan T. Dorrah, “Routing in Wireless Sensor Networks based on Generalized Data Stack Programming Model” International Journal of Advanced Computer Science and Applications(IJACSA), 5(11), 2014. http://dx.doi.org/10.14569/IJACSA.2014.051113

@article{Elhadidy2014,
title = {Routing in Wireless Sensor Networks based on Generalized Data Stack Programming Model},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2014.051113},
url = {http://dx.doi.org/10.14569/IJACSA.2014.051113},
year = {2014},
publisher = {The Science and Information Organization},
volume = {5},
number = {11},
author = {Hala Elhadidy and Rawya Rizk and Hassan T. Dorrah}
}



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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