Stochastic learning automata and fuzzy algorithm based high throughput relay selection method

A fuzzy algorithm, high-throughput technology, applied in network traffic/resource management, electrical components, wireless communication, etc., can solve the problems of unbalanced relay load, late data arrival, and overall network performance degradation, to maximize throughput , the effect of load balancing

Active Publication Date: 2018-10-26
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

Communication becomes difficult if other nodes have different schedules
Data that needs to be transmitted urgently is often late, and the throughput of the entire network and the tra

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  • Stochastic learning automata and fuzzy algorithm based high throughput relay selection method
  • Stochastic learning automata and fuzzy algorithm based high throughput relay selection method
  • Stochastic learning automata and fuzzy algorithm based high throughput relay selection method

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Embodiment Construction

[0078] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts all belong to the protection scope of the present invention.

[0079] According to the accompanying drawings, the technical solution of the present invention is described in detail.

[0080] The high-throughput subsequent selection method based on random automatic learning machine and fuzzy algorithm comprises the following steps:

[0081] S101. Establish a model of a wireless sensor network. Specifically, the model is established according to the wireless sensor network environment, and the sen...

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Abstract

The invention discloses a stochastic learning automata and fuzzy algorithm based high throughput relay selection method. The problem that network performance severely decreases due to the large link losses between sub-nodes and a coordinator in a wireless sensor network can be solved. The method includes the following steps: through the combination of the wireless sensor network and a stochastic learning automata, source nodes can find the best relay to make a system reach to a balance and stability state through a learning manner; relay nodes can perform AF forwarding on received data, and different sensor data has different priority; nodes having the highest priority can access to channels for many times in a frame so that the successful probability of sending can be higher; and the relay nodes adopts a fuzzy algorithm to realize load balancing. According to the embodiments of the method, that the nodes do not need human intervention during operation can be guaranteed, the steady state can be adaptively achieved, the maximization of overall network throughput can be realized, and the method has wide application values.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, in particular to a high-throughput successor selection method based on a random automatic learning machine and a fuzzy algorithm. Background technique [0002] In wireless sensor networks, the resources of wireless sensor nodes are very limited, mainly reflected in energy, storage capacity, processing capacity and communication bandwidth. In some scenarios, such as robot search and rescue, unmanned aerial vehicle command, sensor nodes are in a complex environment, and the direct distance between the source node and the destination node is long or the quality of the communication link is poor, the system performance will be improved by using the direct transmission method. Seriously down. Cooperative communication is a proven approach to achieve spatial diversity and address the increasing data throughput demands in wireless networks. How to choose the best relay, through the se...

Claims

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Application Information

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IPC IPC(8): H04W28/08H04W40/22H04W84/18
CPCH04W28/08H04W40/22H04W84/18
Inventor 张洪光刘元安吴帆范文浩张丽彪
Owner BEIJING UNIV OF POSTS & TELECOMM
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