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DOI: 10.14569/IJACSA.2018.090242
PDF

Dynamic Reconfiguration of LPWANs Pervasive System using Multi-agent Approach

Author 1: Ghouti ABDELLAOUI
Author 2: Fethi Tarik BENDIMERAD

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 2, 2018.

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Abstract: The development of the Low Power Wide Area Network (LPWAN) has given new hope for the Internet of Things and M2M networks to become the most prevalent network type in industrial world in the near future. This type of network is designed to connect several entities in a radius that can reach up to 10 Km. This gain in scope is possible through a reduction in the amount of information exchanged. The latter will makes LPWANs Networks the most suitable for telemetry applications. This large network coverage offered by LPWAN gives the possibility to connect a large number of objects. On the other hand, it involves difficulties for the pervasive system associated with this kind of network to integrate dynamically all this objects, in which an automatic reconfiguration process becomes crucial to this kind of network. In this study, we propose the multi-agent systems as a solution to virtualize the heterogeneity of the peripherals and to facilitate their integration and their dynamic exploitation in the LPWAN system. That virtualization is possible due to the portability of the multi-agent systems and the standardization of the exploitation of the services offered by them.

Keywords: Dynamic reconfiguration; pervasive system; multiagent system; Low Power Wide Area Network (LPWAN)

Ghouti ABDELLAOUI and Fethi Tarik BENDIMERAD, “Dynamic Reconfiguration of LPWANs Pervasive System using Multi-agent Approach” International Journal of Advanced Computer Science and Applications(IJACSA), 9(2), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090242

@article{ABDELLAOUI2018,
title = {Dynamic Reconfiguration of LPWANs Pervasive System using Multi-agent Approach},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090242},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090242},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {2},
author = {Ghouti ABDELLAOUI and Fethi Tarik BENDIMERAD}
}



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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