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Collaborative caching discovery management in mobile ad hoc networks environments

Accessing distant data items in mobile ad hoc networks (MANETs) environments pose a huge challenge due to mobility and resource constraints. A number of research studies have been developed to enhance data accessibility and decrease the number of pending queries. A collaborative caching technique is...

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Autores principales: Alshahrani, Hussain, Ahmed Elfaki, Mohamed, Ibrahim, Hamidah, Ali, Nawfal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280438/
https://www.ncbi.nlm.nih.gov/pubmed/37346558
http://dx.doi.org/10.7717/peerj-cs.1320
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author Alshahrani, Hussain
Ahmed Elfaki, Mohamed
Ibrahim, Hamidah
Ali, Nawfal
author_facet Alshahrani, Hussain
Ahmed Elfaki, Mohamed
Ibrahim, Hamidah
Ali, Nawfal
author_sort Alshahrani, Hussain
collection PubMed
description Accessing distant data items in mobile ad hoc networks (MANETs) environments pose a huge challenge due to mobility and resource constraints. A number of research studies have been developed to enhance data accessibility and decrease the number of pending queries. A collaborative caching technique is considered as an efficient mechanism to increase data accessibility and decrease the latency which in turn reduces the pending queries. However, the processing queries that based on their classifications along with distributed indexing have not been tackled in previous works to reduce the number of pending queries and increase the number of replied queries. A collaborative caching discovery which based on service providers (CCD) is proposed in this article, which process requests depending on their status either priority or normal. This ensures that the number of pending queries is reduced with minimum cache discovery overhead. The results of the experiment reveal that the proposed strategy increased collaborative caching discovery efficiency and outperformed the cooperative and adaptive system (COACS) in terms of increasing the number of replied queries and reduction of the pending queries by 24.21 percent.
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spelling pubmed-102804382023-06-21 Collaborative caching discovery management in mobile ad hoc networks environments Alshahrani, Hussain Ahmed Elfaki, Mohamed Ibrahim, Hamidah Ali, Nawfal PeerJ Comput Sci Adaptive and Self-Organizing Systems Accessing distant data items in mobile ad hoc networks (MANETs) environments pose a huge challenge due to mobility and resource constraints. A number of research studies have been developed to enhance data accessibility and decrease the number of pending queries. A collaborative caching technique is considered as an efficient mechanism to increase data accessibility and decrease the latency which in turn reduces the pending queries. However, the processing queries that based on their classifications along with distributed indexing have not been tackled in previous works to reduce the number of pending queries and increase the number of replied queries. A collaborative caching discovery which based on service providers (CCD) is proposed in this article, which process requests depending on their status either priority or normal. This ensures that the number of pending queries is reduced with minimum cache discovery overhead. The results of the experiment reveal that the proposed strategy increased collaborative caching discovery efficiency and outperformed the cooperative and adaptive system (COACS) in terms of increasing the number of replied queries and reduction of the pending queries by 24.21 percent. PeerJ Inc. 2023-04-17 /pmc/articles/PMC10280438/ /pubmed/37346558 http://dx.doi.org/10.7717/peerj-cs.1320 Text en ©2023 Alshahrani et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.
spellingShingle Adaptive and Self-Organizing Systems
Alshahrani, Hussain
Ahmed Elfaki, Mohamed
Ibrahim, Hamidah
Ali, Nawfal
Collaborative caching discovery management in mobile ad hoc networks environments
title Collaborative caching discovery management in mobile ad hoc networks environments
title_full Collaborative caching discovery management in mobile ad hoc networks environments
title_fullStr Collaborative caching discovery management in mobile ad hoc networks environments
title_full_unstemmed Collaborative caching discovery management in mobile ad hoc networks environments
title_short Collaborative caching discovery management in mobile ad hoc networks environments
title_sort collaborative caching discovery management in mobile ad hoc networks environments
topic Adaptive and Self-Organizing Systems
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280438/
https://www.ncbi.nlm.nih.gov/pubmed/37346558
http://dx.doi.org/10.7717/peerj-cs.1320
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