A framework of survivability model virtualized wireless sensor networks for IOT-assisted wireless sensor network

Abstract

Using traditional non-virtualized Wireless Sensor Networks (WSNs) efficiently is difficult due to the embedded applications, which make the sensor nodes inaccessible to other applications. The proposed study considered both the node-level and network-level virtualization of wireless sensor networks to examine dynamic virtual network embedding. WSNs can leverage their shared sensing capabilities through network virtualization. Infrastructure providers earn more revenue by mapping more virtual network embedding (VNE) onto their substrate networks. VNE must therefore improve its acceptance ratio. The proposed RLE-SVNE is demonstrated to be more efficient than state-of-the-art in respect to acceptance, recovery, failure recovery delay, and revenue cost through simulation results. It compares the RLF-SVNE method with C-SVNE and N-SVNE to demonstrate its superiority.