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DOI: 10.14569/IJACSA.2022.0130202
PDF

Robotic Ad-hoc Networks Connectivity Maintenance based on RF Signal Strength Mapping

Author 1: Mustafa Ayad
Author 2: Richard Voyles
Author 3: Mohamed Ayad

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 2, 2022.

  • Abstract and Keywords
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Abstract: Network connectivity preservation is one of the substantial factors in achieving efficient mobile robot teams' maneuverability. We present a connectivity maintenance method for a robot team's communication. The proposed approach augments the Radio Frequency Mapping Recognition (RFMR) method and the signal strength gradient decent approach for an overall goal to create a Proactive Motion Control Algorithm (PMCA). The PMCA algorithm controls and helps strengthen mobile communicating robots' connectivity in the existent Radio Frequency (RF) obstacles. The RFMR method takes advantage of Hidden Markov Models (HMMs) results, which assist in learning electromagnetic environments depending on measurements of RF signal strength. The classification results of HMM lead the robots to resolve whether to continue the current trajectory for avoiding the obstacle shadow or move back to desirable robust Signal Strength (SS) positions. In both cases, the robot will run the gradient approach to determine the signal change trend and drive the robot toward the strong SS direction for maintaining link connectivity. The PMCA, depending on the results of RFMR and gradient approaches, promises to preserve robots' motion control and link connectivity maintenance.

Keywords: RF mapping recognition; link connectivity; gradient algorithm

Mustafa Ayad, Richard Voyles and Mohamed Ayad, “Robotic Ad-hoc Networks Connectivity Maintenance based on RF Signal Strength Mapping” International Journal of Advanced Computer Science and Applications(IJACSA), 13(2), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130202

@article{Ayad2022,
title = {Robotic Ad-hoc Networks Connectivity Maintenance based on RF Signal Strength Mapping},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130202},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130202},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {2},
author = {Mustafa Ayad and Richard Voyles and Mohamed Ayad}
}



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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