Reducing download delay for cooperative caching in small cell network

Wang, Yuting; Cai, Yun-Zhan; Chen, Lo-An; Lin, Sian-Jhe; Liu, Ren-Shiou; Tsai, Meng-Hsun

doi:10.1007/s11276-021-02844-3

Cited by 1 publication

(1 citation statement)

References 23 publications

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“…However, the latency may become longer if the requested data item is missed at intermediate neighbor’s nodes. Moreover, there are also a number of research studies developed a cooperative caching strategy to improve data access, data availability, and information retrieval in MANETs ( Artail et al, 2008 ; Yin & Cao, 2005 ; Du, Gupta & Varsamopoulos, 2009 ; Wang et al., 2022 ) propose two strategies: CacheData and CachePath, as well as a hybrid strategy that combines the two techniques to increase the performance by utilizing both strategies meanwhile taking into consideration their drawbacks and limitations. Cache resolution and cache management are designed by Du, Gupta & Varsamopoulos (2009) to increase the data availability and the access efficiency.…”

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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