Energy consumption perception virtual network mapping algorithm based on Internet of Things

Abstract

The invention relates to an energy consumption perception virtual network mapping algorithm based on the Internet of Things. Aiming at network characteristics of the Internet of Things, a traditionalenergy consumption model is redefined in a virtual network mapping stage, so that the traditional energy consumption model adapts to new energy consumption characteristics in an Internet of Things environment. Under the condition that the minimum energy consumption is ensured, the heterogeneity of the nodes and the timeliness of the links are emphatically considered. through distinguishing the timeliness characteristics of the links, and then mapping of virtual network resources is completed by adopting a two-stage method. The virtual network mapping problem is completed in a resource integration mode, the resource utilization rate is maximized, and the mapping time is shortened. Meanwhile, the energy-saving effect is achieved, and along with increase of introduced parameters, a finer-grained mapping mode is achieved.

Description

technical field [0001] The invention relates to a virtual network mapping algorithm, in particular to an energy-aware virtual network mapping algorithm based on the Internet of Things. Background technique [0002] Since its birth, the Internet has greatly improved people's lives. In recent years, the Internet has developed rapidly. At present, a large number of applications and various network technologies are running on the Internet. A ubiquitous intercommunication network covering the world has been formed, and it has become an important infrastructure and productivity in today's society, far exceeding the original expectations when it was established. With the development of network technology, the Internet of Everything is even more popular. Then came the Internet of Things (IoT), which is a ubiquitous network established on the Internet and an Internet where things are connected. Information exchange and communication between objects to achieve intelligent identific...

AI Technical Summary

Problems solved by technology

Since a large number of sensors are distributed in different regions, the heterogeneity of nodes is more prominent, and their initial states, energy consumption rates, and delay characteristics of each link are different, so the existing energy consumption sensing methods need to be improved.

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