Node state-based multidimensional wireless sensor network capacity calculation method

Abstract

The invention provides a node state-based multidimensional wireless sensor network capacity calculation method. The maximal information quantity transmitted in the wireless sensor network survival time is defined to be the network capacity, a network channel signal-to-noise ratio model, a network node energy consumption model, a network survival time calculation model and a graph theory model are provided, and a multidimensional network capacity calculation model based on the signal-to-noise ratio and the network survival time is built. Grover algorithm is used for carrying out optimal control to enable the multidimensional network capacity calculation model to approach the upper limit of the network capacity, and the multidimensional wireless sensor network capacity is obtained. According to the node state-based multidimensional wireless sensor network capacity calculation method provided by the invention, two-dimensional information of the signal-to-noise ratio and the network survival time is comprehensively considered.

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 wireless sensor networks. 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 being constrained by wired devices. It is widely used in practical applications such as emergency search and rescue, military exercises and medical treatment, and has attracted industry attention. The world attaches great importance to it, and gradually develops 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 hot spot in the 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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