Low Energy Consumption And High Profit Wireless Sensor Network Virtual Resource Embedding Method

Wireless sensor nodes are small in size,easy to deploy,and have information processing capabilities and wireless communication capabilities.Wireless sensor networks are gaining more and more attention due to these unique advantages.However,its structural form is single,and the routing protocol that can be run in a single scenario is unique and does not change with the change of service requirements,thus resulting in low resource utilization of the wireless sensor network.To this end,how to make full use of the limited physical resources of wireless sensor network to meet the growing diversified business needs has become particularly important.Network virtualization technology allows virtual networks(VNs)that are isolated from each other to operate independently on a common underlying physical network,and allows each individual virtual network to run its own network protocol.The application of virtualization technology in wireless sensor network can support distributed services and realize dynamic aggregation of resources to extend the edge service capability,and improve the utilization of physical network resources while facilitating management and control of network resources.However,although the software and hardware are isolated by virtualization,when multiple services are deployed improperly,the network load is too heavy and the service quality is degraded,which causes service interruption.Therefore,based on the idea of load balancing,research on virtual resource allocation method to achieve resource optimization and rebalancing has become the focus of research.In this thesis,the WSN virtual resource mapping method for energy consumption and the WSN virtual resource mapping method for maximizing InP revenue are proposed respectively for the problem of uneven energy consumption and low utilization of underlying network resources in the mapping process.Aiming at the problem that the wireless sensor network shortens the lifetime due to the unbalanced node energy in the virtual resource embedding process,a virtual resource embedding method for wireless sensor network is proposed.When the virtual resource is embedded,the virtual network request(VNR)of the high latency requirement selects the key underlying network resource for embedding,and the selection of the low latency requirement is“Going further place to find resources",and try to select the relatively idle underlying network resource for embedding.Avoid competing with VNRs with high latency requirements,thus making the remaining energy of the entire wireless sensor network more balanced.Simulation results show that this mechanism extends the lifetime of the underlying physical network.Aiming at the problem that the existing virtual resource mapping algorithm has low utilization of the underlying network resources and the survivability mapping algorithm has a large number of redundant resources,a virtual resource mapping method for maximizing InP revenue is proposed.The method aims to maximize the economic benefits of infrastructure providers and improve the resource utilization of wireless sensor network.According to the different embedding stages of virtual resource embedding,four mechanisms are proposed.At first,according to the priority-based virtual network request selection mechanism,the upcoming virtual network request is prioritized,so that the most profitable VNR is first embedded.Second,in the virtual network embedding,the dynamic embedding mechanism based on load balancing is adopted to select the nodes and links with more remaining CPU and bandwidth resources to embed,so that the resource consumption of the entire network is relatively balanced.After the embedding is completed,a priority-based embedding update mechanism is performed.Release low-yield virtual network requests and remap high-yield virtual network requests to ensure that infrastructure providers get the most out of it.According to the dynamic embedding mechanism by sharing backup resource,all the physical nodes are pre-processed in advance,and some resources are reserved as backups to ensure reliability of embedding.The simulation results show that the dynamic embedding mechanism of service priority and load balancing is considered on the premise of backup resource sharing.While ensuring service reliability,resource utilization and infrastructure provider's revenue have been significantly improved.