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Method for spectrum allocation in distributed cognition wireless sensor network on basis of Q study

A sensor network, cognitive wireless technology, applied in network planning, network topology, wireless communication, etc., can solve the problem of high computational complexity

Inactive Publication Date: 2017-01-25
HUNAN UNIV
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Problems solved by technology

Although there are related algorithms for distributed networks, the computational complexity is relatively high

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  • Method for spectrum allocation in distributed cognition wireless sensor network on basis of Q study
  • Method for spectrum allocation in distributed cognition wireless sensor network on basis of Q study
  • Method for spectrum allocation in distributed cognition wireless sensor network on basis of Q study

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Embodiment Construction

[0057] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0058] Given N cognitive sensor nodes and M licensed spectrums (M≥N) in the present invention, the idle availability ratio of licensed spectrums is [θ 1 ,...,θ M ], the length of a single time slot is T slot , the average duration and average power of a cognitive sensor node to perform spectrum sensing are τ s , ε s , and there is no error in spectrum sensing, the average data transmission rate and average transmission power of cognitive sensor nodes are R, ε tr , the spectrum switching time o...

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Abstract

The invention discloses a method for spectrum allocation in a distributed cognitive wireless sensor network on the basis of Q study. The average throughput and the average energy efficiency ratio of the maximized distributed cognitive wireless sensor network are taken as objects, nodes in the cognitive wireless sensor network study from one another according to peripheral authorization frequency spectrum state change and allocation strategies of other nodes and finally adapt, the process is mapped into a distributed multi-agent Q study process, and the best spectrum allocation strategy is approximated by executing the best response Q study iterative algorithm in a timing sequence alternation mechanism. The method has the characteristics that the convergence speed is high, the calculation complexity is low, and the average throughput and the average energy efficiency ratio of the cognitive wireless sensor network are improved.

Description

technical field [0001] The invention relates to a cognitive wireless sensor network and spectrum allocation technology, in particular to a Q-learning-based spectrum allocation method in a distributed cognitive wireless sensor network. Background technique [0002] The unlicensed spectrum resources used by traditional wireless sensor networks are occupied by the growing number of other wireless communication technology devices, and the resulting shortage of spectrum resources is becoming more and more severe. Thanks to the maturity of cognitive radio theory and technological progress, new opportunities have been brought to alleviate the shortage of spectrum resources. A wireless sensor network with cognitive radio technology can realize real-time perception and dynamic access to the licensed spectrum with low utilization rate and idle licensed spectrum according to its own needs, so as to improve the utilization efficiency of licensed spectrum and alleviate the shortage of sp...

Claims

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Application Information

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IPC IPC(8): H04W16/14H04W84/18H04L27/00
CPCH04L27/0006H04W16/14H04W84/18Y02D30/70
Inventor 曾凡仔刘翰山
Owner HUNAN UNIV
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