Meta-Routing Paradigm for Robotic Ad-hoc Networks

Mustafa Ayad; Richard Voyles

doi:doi:10.11648/j.ajset.20230802.12

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Meta-Routing Paradigm for Robotic Ad-hoc Networks

Mustafa Ayad, Richard Voyles

Published in American Journal of Science, Engineering and Technology (Volume 8, Issue 2)

Received: 14 March 2023 Accepted: 4 April 2023 Published: 15 April 2023

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Abstract

With the increasing use of robotic networks, communication issues such as maintaining connections between nodes are becoming more prevalent. While previous routing protocols for wireless networks have been developed, they tend to address routing and link maintenance separately. Consequently, the separation leads to increased costs and delays in network communication. Existing routing protocols typically focus on discovering links, connecting them, finding the most efficient path, and reducing costs associated with the path. However, their limitations have led to the development of a new routing mechanism for robotic networks called Meta-Routing. Meta-Routing builds on existing routing protocols by incorporating regular routing of packets and maintenance of links in mobile agent environments. This approach aims to improve efficiency and reduce routing and link maintenance costs. In addition, meta-Routing seeks to minimize communication path costs and the overhead cost associated with discovering a route, repairing a link, or creating a new communication path among nodes. This paper presents a method for achieving Meta-Routing by controlling robot motion based on recognizing the radio frequency (RF) environment through Hidden Markov Models (HMMs) and gradient descent methods. Simulation results show that Meta-Routing, based on controlling individual robot motion, can provide self-healing capabilities in mobile robot networks, decrease network latency, and improve network performance.

Published in	American Journal of Science, Engineering and Technology (Volume 8, Issue 2)
DOI	10.11648/j.ajset.20230802.12
Page(s)	81-96
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Link Connectivity Maintenance, Gradient, RF Mapping Recognition, Nod Control Movement

References

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APA Style

Mustafa Ayad, Richard Voyles. (2023). Meta-Routing Paradigm for Robotic Ad-hoc Networks. American Journal of Science, Engineering and Technology, 8(2), 81-96. https://doi.org/10.11648/j.ajset.20230802.12

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ACS Style

Mustafa Ayad; Richard Voyles. Meta-Routing Paradigm for Robotic Ad-hoc Networks. Am. J. Sci. Eng. Technol. 2023, 8(2), 81-96. doi: 10.11648/j.ajset.20230802.12

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AMA Style

Mustafa Ayad, Richard Voyles. Meta-Routing Paradigm for Robotic Ad-hoc Networks. Am J Sci Eng Technol. 2023;8(2):81-96. doi: 10.11648/j.ajset.20230802.12

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@article{10.11648/j.ajset.20230802.12,
  author = {Mustafa Ayad and Richard Voyles},
  title = {Meta-Routing Paradigm for Robotic Ad-hoc Networks},
  journal = {American Journal of Science, Engineering and Technology},
  volume = {8},
  number = {2},
  pages = {81-96},
  doi = {10.11648/j.ajset.20230802.12},
  url = {https://doi.org/10.11648/j.ajset.20230802.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajset.20230802.12},
  abstract = {With the increasing use of robotic networks, communication issues such as maintaining connections between nodes are becoming more prevalent. While previous routing protocols for wireless networks have been developed, they tend to address routing and link maintenance separately. Consequently, the separation leads to increased costs and delays in network communication. Existing routing protocols typically focus on discovering links, connecting them, finding the most efficient path, and reducing costs associated with the path. However, their limitations have led to the development of a new routing mechanism for robotic networks called Meta-Routing. Meta-Routing builds on existing routing protocols by incorporating regular routing of packets and maintenance of links in mobile agent environments. This approach aims to improve efficiency and reduce routing and link maintenance costs. In addition, meta-Routing seeks to minimize communication path costs and the overhead cost associated with discovering a route, repairing a link, or creating a new communication path among nodes. This paper presents a method for achieving Meta-Routing by controlling robot motion based on recognizing the radio frequency (RF) environment through Hidden Markov Models (HMMs) and gradient descent methods. Simulation results show that Meta-Routing, based on controlling individual robot motion, can provide self-healing capabilities in mobile robot networks, decrease network latency, and improve network performance.},
 year = {2023}
}

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TY  - JOUR
T1  - Meta-Routing Paradigm for Robotic Ad-hoc Networks
AU  - Mustafa Ayad
AU  - Richard Voyles
Y1  - 2023/04/15
PY  - 2023
N1  - https://doi.org/10.11648/j.ajset.20230802.12
DO  - 10.11648/j.ajset.20230802.12
T2  - American Journal of Science, Engineering and Technology
JF  - American Journal of Science, Engineering and Technology
JO  - American Journal of Science, Engineering and Technology
SP  - 81
EP  - 96
PB  - Science Publishing Group
SN  - 2578-8353
UR  - https://doi.org/10.11648/j.ajset.20230802.12
AB  - With the increasing use of robotic networks, communication issues such as maintaining connections between nodes are becoming more prevalent. While previous routing protocols for wireless networks have been developed, they tend to address routing and link maintenance separately. Consequently, the separation leads to increased costs and delays in network communication. Existing routing protocols typically focus on discovering links, connecting them, finding the most efficient path, and reducing costs associated with the path. However, their limitations have led to the development of a new routing mechanism for robotic networks called Meta-Routing. Meta-Routing builds on existing routing protocols by incorporating regular routing of packets and maintenance of links in mobile agent environments. This approach aims to improve efficiency and reduce routing and link maintenance costs. In addition, meta-Routing seeks to minimize communication path costs and the overhead cost associated with discovering a route, repairing a link, or creating a new communication path among nodes. This paper presents a method for achieving Meta-Routing by controlling robot motion based on recognizing the radio frequency (RF) environment through Hidden Markov Models (HMMs) and gradient descent methods. Simulation results show that Meta-Routing, based on controlling individual robot motion, can provide self-healing capabilities in mobile robot networks, decrease network latency, and improve network performance.
VL  - 8
IS  - 2
ER  -

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Author Information

Mustafa Ayad

Electrical and Computer Engineering, State University of New York (SUNY) at Oswego, New York, The United States
Richard Voyles

Engineering Technology, Purdue University at West Lafayette, Indiana, The United States

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APA Style

Mustafa Ayad, Richard Voyles. (2023). Meta-Routing Paradigm for Robotic Ad-hoc Networks. American Journal of Science, Engineering and Technology, 8(2), 81-96. https://doi.org/10.11648/j.ajset.20230802.12

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ACS Style

Mustafa Ayad; Richard Voyles. Meta-Routing Paradigm for Robotic Ad-hoc Networks. Am. J. Sci. Eng. Technol. 2023, 8(2), 81-96. doi: 10.11648/j.ajset.20230802.12

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AMA Style

Mustafa Ayad, Richard Voyles. Meta-Routing Paradigm for Robotic Ad-hoc Networks. Am J Sci Eng Technol. 2023;8(2):81-96. doi: 10.11648/j.ajset.20230802.12

Copy | Download

@article{10.11648/j.ajset.20230802.12,
  author = {Mustafa Ayad and Richard Voyles},
  title = {Meta-Routing Paradigm for Robotic Ad-hoc Networks},
  journal = {American Journal of Science, Engineering and Technology},
  volume = {8},
  number = {2},
  pages = {81-96},
  doi = {10.11648/j.ajset.20230802.12},
  url = {https://doi.org/10.11648/j.ajset.20230802.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajset.20230802.12},
  abstract = {With the increasing use of robotic networks, communication issues such as maintaining connections between nodes are becoming more prevalent. While previous routing protocols for wireless networks have been developed, they tend to address routing and link maintenance separately. Consequently, the separation leads to increased costs and delays in network communication. Existing routing protocols typically focus on discovering links, connecting them, finding the most efficient path, and reducing costs associated with the path. However, their limitations have led to the development of a new routing mechanism for robotic networks called Meta-Routing. Meta-Routing builds on existing routing protocols by incorporating regular routing of packets and maintenance of links in mobile agent environments. This approach aims to improve efficiency and reduce routing and link maintenance costs. In addition, meta-Routing seeks to minimize communication path costs and the overhead cost associated with discovering a route, repairing a link, or creating a new communication path among nodes. This paper presents a method for achieving Meta-Routing by controlling robot motion based on recognizing the radio frequency (RF) environment through Hidden Markov Models (HMMs) and gradient descent methods. Simulation results show that Meta-Routing, based on controlling individual robot motion, can provide self-healing capabilities in mobile robot networks, decrease network latency, and improve network performance.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Meta-Routing Paradigm for Robotic Ad-hoc Networks
AU  - Mustafa Ayad
AU  - Richard Voyles
Y1  - 2023/04/15
PY  - 2023
N1  - https://doi.org/10.11648/j.ajset.20230802.12
DO  - 10.11648/j.ajset.20230802.12
T2  - American Journal of Science, Engineering and Technology
JF  - American Journal of Science, Engineering and Technology
JO  - American Journal of Science, Engineering and Technology
SP  - 81
EP  - 96
PB  - Science Publishing Group
SN  - 2578-8353
UR  - https://doi.org/10.11648/j.ajset.20230802.12
AB  - With the increasing use of robotic networks, communication issues such as maintaining connections between nodes are becoming more prevalent. While previous routing protocols for wireless networks have been developed, they tend to address routing and link maintenance separately. Consequently, the separation leads to increased costs and delays in network communication. Existing routing protocols typically focus on discovering links, connecting them, finding the most efficient path, and reducing costs associated with the path. However, their limitations have led to the development of a new routing mechanism for robotic networks called Meta-Routing. Meta-Routing builds on existing routing protocols by incorporating regular routing of packets and maintenance of links in mobile agent environments. This approach aims to improve efficiency and reduce routing and link maintenance costs. In addition, meta-Routing seeks to minimize communication path costs and the overhead cost associated with discovering a route, repairing a link, or creating a new communication path among nodes. This paper presents a method for achieving Meta-Routing by controlling robot motion based on recognizing the radio frequency (RF) environment through Hidden Markov Models (HMMs) and gradient descent methods. Simulation results show that Meta-Routing, based on controlling individual robot motion, can provide self-healing capabilities in mobile robot networks, decrease network latency, and improve network performance.
VL  - 8
IS  - 2
ER  -

Copy | Download