Wireless charging sensor network total utility maximization method

Abstract

The invention provides a wireless charging sensor network total utility maximization method, which comprises the steps of determining the average energy consumption of a sensor node; setting the optimal data transmission rate of the sensor node, determining the transmission rate of a fusion outbound link of the sensor node according to the optimal data transmission rate of the sensor node; determining the flow rate distributed to each link in a sensor network; determining the electric quantity required to be complemented of the sensor node; and determining the delay time of mobile energy equipment in data collection. According to the invention, the optimal data transmission rate of the wireless charging sensor network can be acquired accurately, maximization for the utility of the sensor network is realized, and the wireless sensor network is ensured to operate in a continuously steady manner.

Description

technical field [0001] The invention relates to a network optimization method, in particular to a method for maximizing the total utility of a wireless charging sensor network. Background technique [0002] The new wireless energy transmission technology can ensure the continuous operation of the network. There have been recent breakthroughs in this field, opening up a new dimension to the design of sensor network protocols, while mobile data collection is seen as an effective substitute for data transmission in wireless sensor networks. [0003] However, the time-varying charging rate is a great challenge to obtain an optimal data collection strategy in wireless charging sensor networks. Inspired by new energy delivery techniques and stimulated by the benefits of mobile data collection, the researchers propose a Joint Design of Energy Supply and Mobile Data Collection (JMERDG) model, which describes the data by building a flow-hierarchical network utility maximization mode...

AI Technical Summary

Problems solved by technology

[0003] However, in wireless charging sensor networks, the charging rate varies with time is a great challenge to obtain an optimal data collection strategy

Inspired by new energy delivery techniques and stimulated by the benefits of mobile data collection, the researchers propose a Joint Design of Energy Supply and Mobile Data Collection (JMERDG) model, which describes the data by building a flow-hierarchical network utility maximization model Collection performance, while the maximization of stream-level network utility is directly reflected in the data transmission rate; although the existing technology can effectively collect data and save energy by using mobile collectors, it only considers the energy consumption of data transmission and does not take into account The energy consumption of data receiving and sensing, and the charging rate is also a constant rather than a time variable, therefore, how to obtain the data transmission rate in the wireless charging sensor network has become a technical problem

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