Enhanced cache sharing through cooperative data cache approach in MANET

Sheeba, S. Lilly; Yogesh, P.

doi:10.1504/ijbet.2020.107204

Cited by 1 publication

(1 citation statement)

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“…Advance collaborative caching is developed by Artail et al (2008) to address the constraints of the technique proposed by Yin & Cao (2005) . The initiated queries are indexing to help in locating the needed data items according to Artail et al (2008) , Lilly Sheeba & Yogesh (2011) , Sheeba & Yogesh (2020) , Lilly Sheeba & Yogesh (2017) and Sheeba & Yogesh (2020) studies. In a cooperative and adaptive system (COACS) which is developed by Artail et al (2008) , nodes can play one of the two roles: caching node (CN) or query directory (QD).…”

Section: Introductionmentioning

confidence: 99%

Collaborative caching discovery management in mobile ad hoc networks environments

Alshahrani

Elfaki

Ibrahim

et al. 2023

PeerJ Computer Science

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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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