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An adaptive and efficient buffer management scheme for resource-constrained delay tolerant networks

机译:资源受限时延容忍网络的自适应高效缓冲区管理方案

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摘要

Provisioning buffer management mechanism is especially crucial in resource-constrained delay tolerant networks (DTNs) as maximum data delivery ratio with minimum overhead is expected in highly congested environments. However, most DTN protocols do not consider resource limitations (e.g., buffer, bandwidth) and hence, results in performance degradation. To strangle and mitigate the impact of frequent buffer overflows, this paper presents an adaptive and efficient buffer management scheme called size-aware drop (SAD) that strives to improve buffer utilization and avoid unnecessary message drops. To improve data delivery ratio, SAD exactly determines the requirement based on differential of newly arrived message(s) and available space. To vacate inevitable space from a congested buffer, SAD strives to avoid redundant message drops and deliberate to pick and discard most appropriate message(s) to minimize overhead. The performance of SAD is validated through extensive simulations in realistic environments (i.e., resource-constrained and congested) with different mobility models (i.e., Random Waypoint and disaster). Simulation results demonstrate the performance supremacy of SAD in terms of delivery probability and overhead ratio besides other metrics when compared to contemporary schemes based on Epidemic (DOA and DLA) and PRoPHET (SHLI and MOFO).
机译:由于期望在高度拥塞的环境中以最小的开销获得最大的数据传递比率,因此在资源受限的延迟容忍网络(DTN)中,配置缓冲区管理机制尤其重要。但是,大多数DTN协议没有考虑资源限制(例如,缓冲区,带宽),因此会导致性能下降。为了扼杀并减轻频繁发生的缓冲区溢出的影响,本文提出了一种自适应且有效的缓冲区管理方案,称为大小感知丢弃(SAD),该方案致力于提高缓冲区利用率并避免不必要的消息丢弃。为了提高数据传输率,SAD根据新到达消息和可用空间的差异准确确定需求。为了从拥塞的缓冲区中腾出不可避免的空间,SAD努力避免多余的消息丢弃,并故意选择和丢弃最合适的消息以最小化开销。 SAD的性能可以通过在现实环境中(即资源受限和拥挤)的不同移动模型(即随机航点和灾难)进行广泛的仿真来验证。仿真结果表明,与基于流行病(DOA和DLA)和PRoPHET(SHLI和MOFO)的现代方案相比,除其他指标外,SAD在交付概率和开销比率方面的性能至上。

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