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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
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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. |
format | Online Article Text |
id | pubmed-10280438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
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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