Markov transition and smart cache congestion control for IoT enabled wireless mesh networks

Abstract

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.