Neural network topology control method, system and device and storage medium
A topology control and neural network technology, applied in the field of sensor networks, can solve problems such as exhausted power, limited battery energy, and increased network transmission delay, and achieve the effects of avoiding congestion and conflicts, extending life cycle, and low overhead
Pending Publication Date: 2022-06-28
GUANGDONG COMM POLYTECHNIC
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Problems solved by technology
First of all, the battery energy carried by each sensor node is very limited, and it is unrealistic to replace the battery once it is put into use; secondly, it is difficult to balance node energy consumption and network performance. Reducing the radio frequency communication frequency of nodes can reduce energy consumption, but it will shorten Problems such as communication radius range, increased network transmission delay, and susceptibility to electromagnetic pulse interference; if the transmission frequency is increased, the power will be exhausted prematurely, resulting in the death of the node. If a single node dies prematurely, it will cause congestion and accelerate its neighbors. Node apoptosis, and finally node death spreads to the entire network, seriously shortening the service life of the network
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[0041] The present application will be further described below with reference to the accompanying drawings and specific embodiments. The described embodiments should not be regarded as a limitation to the present application, and all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.
[0042] In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is understood that "some embodiments" can be the same or a different subset of all possible embodiments, and Can be combined with each other without conflict.
[0043] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of the present applicat...
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The invention discloses a neural network topology control method, system and device. The method comprises the following steps: constructing a neural network model; determining the expected consumed energy of the current node for forwarding the data packet from the ith node and the number of data packets passing through the current node; determining the expected energy consumption of the current node for forwarding the data packet from the ith node according to the expected energy consumption and the number of the data packets passing through the current node; calculating the actual consumed energy of the ith node according to the expected energy consumption; and determining parameters of a fuzzy controller according to the relationship between the residual electric quantity of the current node and the residual electric quantity of the ith node. According to the method, the packet sending number and the communication radius of the current node are adjusted through the parameters of the fuzzy controller, so that the nodes with low energy send less packets, the low-power aggregation nodes are protected, congestion and conflicts are prevented from spreading to the whole network, and the life cycle of the network is prolonged. The method can be widely applied to the technical field of sensor networks.
Description
technical field [0001] The invention relates to the technical field of sensor networks, in particular to a neural network topology control method, system, device and storage medium. Background technique [0002] The design of node energy consumption in wireless sensor network is the key technology to determine the network life cycle. First, the battery energy carried by each sensor node is very limited, and it is unrealistic to replace the battery once it is put into use; secondly, it is difficult to balance the energy consumption of the node and the network performance. Reducing the RF communication frequency of the node can reduce the energy consumption, but it will shorten the energy consumption. Communication radius, increase network transmission delay, and susceptibility to electromagnetic pulse interference; if the transmission frequency is increased, the power will be exhausted prematurely, resulting in node death. If a single node dies prematurely, congestion will oc...
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Login to View More IPC IPC(8): H04W40/10H04W84/18
CPCH04W40/10H04W84/18
Inventor 李锋陈丽周江万东周志方谭超健
Owner GUANGDONG COMM POLYTECHNIC