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DOI: 10.14569/IJACSA.2020.0110405
PDF

P System Framework for Ant Colony Algorithm in IoT Data Routing

Author 1: Aurimas Gedminas
Author 2: Liudas Duoba
Author 3: Dalius Navakauskas

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 4, 2020.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: The Internet of Things (IoT) is a critical part of current information technology. When designing IoT data routes, device limited resources such as the computation speed, available amount of memory, remaining battery power or channel bandwidth, to name a few, must be considered. Since the Ant Colony System (ACS) is successfully applied to solving different routing problems, the implementation of ACS for routing in the IoT has also been considered. A P system inspired by the nature of membrane processes not only simplifies a complex system behavior annotation but also delivers a good balance between performance, flexibility and scalability. For this reason, the P system framework for ACS in IoT data routing has been investigated. From the research conducted, MMAPS, which is a combination of the P system and the Max-Min Ant System, is seen to perform better than the ACS.

Keywords: Membrane computing; P system; Ant Colony System; Internet of Things; energy consumption; load balancing

Aurimas Gedminas, Liudas Duoba and Dalius Navakauskas, “P System Framework for Ant Colony Algorithm in IoT Data Routing” International Journal of Advanced Computer Science and Applications(IJACSA), 11(4), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110405

@article{Gedminas2020,
title = {P System Framework for Ant Colony Algorithm in IoT Data Routing},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110405},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110405},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {4},
author = {Aurimas Gedminas and Liudas Duoba and Dalius Navakauskas}
}



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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