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Markov transition and smart cache congestion control for IoT enabled wireless mesh networks
Peer-to-Peer Networking and Applications ( IF 4.2 ) Pub Date : 2020-08-12 , DOI: 10.1007/s12083-020-00969-4
Yuvaraj N , Saravanan G

Wireless Mesh Networking (WMN) is the latest Internet framework that provides a comprehensive range for Subsequent Internet (SI) prototype. Despite significant advantages provided by WMN, its practical distribution to connect Internet of Things (IoT) networks caused exorbitant congestion and restricted bandwidth. Motivated by this, a novel mechanism that ensures control in the manifestation of mobbing, end-to-end delay, energy consumption for enhancing the network performance of IoT-enabled WMN is presented. The proposed method is called as an Integrated Markov State Transition and Open Loop Smart Caching (MST-OLSC) for congestion control in IoT-enabled WMN. The proposed method uses Markov state transition scheduling model to differentiate the states of the incoming data packets from the host computer. This is performed by applying the State Betweenness centrality. Next, Congestion Control Token Caching mechanism is applied with the objective of controlling the congestion by means of caching via overflow with well-balanced isolation between regulated and unregulated flow of data packet. Finally, Open Loop Smart Caching is presented to ensure constant data rate, thereby providing fair inflow and outflow between the incoming and outgoing data packets. The evaluation results of MST-OLSC ensure higher network performance with minimum end-to-end delay, energy consumption and higher packet delivery rate is achieved with respect to inflated IoT nodes in WMN.



中文翻译:

用于支持IoT的无线网状网络的Markov过渡和智能缓存拥塞控制

无线网状网络(WMN)是最新的Internet框架,为后续Internet(SI)原型提供了广泛的范围。尽管WMN提供了显着的优势,但它在连接物联网(IoT)网络方面的实际应用导致了极大的拥塞和带宽受限。以此为动机,提出了一种新颖的机制,该机制可确保控制扰动,端到端延迟,能耗等表现形式,从而增强具有IoT功能的WMN的网络性能。所提出的方法称为集成马尔可夫状态转换和开环智能缓存(MST-OLSC),用于启用IoT的WMN中的拥塞控制。所提出的方法使用马尔可夫状态转移调度模型来区分来自主机的传入数据包的状态。这是通过应用状态中间性中心来执行的。接下来,应用拥塞控制令牌缓存机制,其目的是通过经由溢出的缓存来控制拥塞,其中在数据包的调节流与未调节流之间具有良好平衡的隔离。最后,提出了开环智能缓存以确保恒定的数据速率,从而在传入和传出数据包之间提供公平的流入和流出。MST-OLSC的评估结果可确保WMN中膨胀的IoT节点具有更高的网络性能,最小的端到端延迟,能耗和更高的数据包传输速率。应用拥塞控制令牌缓存机制的目的是通过溢出缓存进行缓存来控制拥塞,并在数据包的调节流和未调节流之间实现良好平衡的隔离。最后,提出了开环智能缓存以确保恒定的数据速率,从而在传入和传出数据包之间提供公平的流入和流出。MST-OLSC的评估结果确保了WMN中物联网节点膨胀时,具有更高的网络性能和最小的端到端延迟,能耗和更高的数据包传输率。应用拥塞控制令牌缓存机制的目的是通过溢出缓存进行缓存来控制拥塞,并在数据包的调节流和未调节流之间实现良好平衡的隔离。最后,提出了开环智能缓存以确保恒定的数据速率,从而在传入和传出数据包之间提供公平的流入和流出。MST-OLSC的评估结果可确保WMN中膨胀的IoT节点具有更高的网络性能,最小的端到端延迟,能耗和更高的数据包传输速率。

更新日期:2020-08-12
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