Relay transmission strategy selection and power distribution method based on MS-BAS algorithm

A technology of MS-BAS and transmission strategy, which is applied in the field of communication and can solve problems such as the inability to obtain an optimal solution

Active Publication Date: 2019-08-23
YANSHAN UNIV
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Problems solved by technology

[0003] The problem of relay selection and power allocation in cooperative relay-based wireless sensor networks has been proven to be an NP-hard (non-deterministic polynomial, non-deterministic polynomial) problem, that is, the optimal solution cannot be obtained in polynomial time

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  • Relay transmission strategy selection and power distribution method based on MS-BAS algorithm
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  • Relay transmission strategy selection and power distribution method based on MS-BAS algorithm

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Embodiment Construction

[0050] The present invention will be further described below in conjunction with accompanying drawing:

[0051] Step 1, multi-area wireless sensor network system modeling, the specific process is as follows image 3 shown.

[0052] (1-1) Establish a cooperative energy harvesting relay wireless sensor network model based on the actual cooperative energy harvesting relay wireless sensor network supporting multi-region joint communication.

[0053] Such as figure 1 As shown, the wireless sensor network is composed of N monitoring areas, N dedicated EH relay nodes and 1 aggregation node, where each monitoring area includes M wireless sensor nodes, and the j-th sensor node in the i-th monitoring area wireless sensor nodes in figure 1 denoted as S in ij , R i Indicates the exclusive EH relay node of the i-th monitoring area, responsible for assisting all wireless sensor nodes in this monitoring area to transmit information to the aggregation node C, and the exclusive EH relay n...

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Abstract

The invention discloses a delay transmission strategy selection and power distribution method based on an MS-BAS algorithm applied to communication node energy collection and information transmissionperformance optimization of a wireless sensor network, and comprises the steps of performing mathematical modeling on the wireless sensor network based on an energy collection cooperative relay; solving a data model of energy collection and data transmission collaborative optimization by using the MS-BAS algorithm based on fusion learning algorithm; and adjusting a power distribution ratio and a signal transmission strategy of each exclusive EH relay node of the multi-region wireless sensor network system according to the obtained optimal individual search strategy value. Compared with the prior art, the relay transmission strategy of the current link can be autonomously selected based on the manually set signal to noise ratio threshold value of the EH relay, the power distribution problemof multiple relays is effectively solved, the channel link quality is improved, and the algorithm is high in accuracy and high in convergence speed.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a relay transmission strategy selection and power allocation method based on MS-BAS (Multi-Swarm Beetle Antennae Search) algorithm. Background technique [0002] Most of the sensor nodes in the traditional wireless sensor network use disposable dry batteries for energy supply, which greatly shortens the service life of the network. Generally speaking, for an actual communication system, for a monitoring area that needs to collect data, multiple different types of sensors are required to collect different physical quantities to be monitored. In order to prolong the service life of the network, improve spectrum utilization and increase network system Throughput requires the placement of one or more relay nodes capable of energy harvesting from radio frequency signals to help the sensor deliver information. However, the pros and cons of a cooperative communication sy...

Claims

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Application Information

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IPC IPC(8): H04W84/18H04W40/22H04W40/10H04L12/24H04W52/24
CPCH04L41/145H04W40/10H04W40/22H04W52/241H04W84/18Y02D30/70
Inventor 马锴李志学杨婕袁亚洲刘佩何金骆王宇泽
Owner YANSHAN UNIV
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