A capacity estimation method for multi-dimensional wireless sensor network based on node state

Abstract

A multi-dimensional wireless sensor network capacity calculation method based on node status, which defines the maximum amount of information that can be transmitted within the lifetime of the wireless sensor network as the network capacity, including network channel signal-to-noise ratio model, network node energy consumption model, network Survival time calculation model and graph theory model, establish a multi-dimensional network capacity calculation model based on signal-to-noise ratio and network survival time; use Grover algorithm for optimization control to make the multi-dimensional network capacity calculation model approach the upper limit of network capacity, and obtain the multi-dimensional wireless sensor network capacity. The invention provides a method for measuring and calculating the capacity of a multi-dimensional wireless sensor network based on the node state, which comprehensively considers the two-dimensional information of the signal-to-noise ratio and the network survival time.

Description

Technical field [0001] The invention belongs to the field of wireless sensor networks, in particular to a method for measuring and calculating the capacity of a wireless sensor network. Background technique [0002] The wireless sensor network composed of a large number of sensor nodes in a multi-hop self-organizing manner has the advantages of flexible networking and not restricted by wired equipment. It is widely used in practical applications such as emergency search and rescue, military exercises and medical treatment, and has caused the industry The industry attaches great importance to it and has gradually developed into the most promising technology in the 21st century. Among them, how to calculate the overall channel characteristics of the wireless sensor network and the maximum information flow that can be supported under the transmission protocol is the problem of the network capacity of the wireless network, and it is also a hotspot of wireless network research and des...

AI Technical Summary

Problems solved by technology

However, due to the particularity of the wireless network (variable topology, multipath fading effects, etc.), the throughput of the wireless network is much smaller than that of the wired network, and the Shannon formula cannot be used to directly calculate the wireless network capacity.

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