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A sigmoid-based interference model estimation method for wireless sensor networks

A technology of wireless sensors and interference models, applied in transmission monitoring, transmission systems, electrical components, etc., can solve problems such as difficult implementation of sensor nodes

Active Publication Date: 2021-06-15
XIDIAN UNIV
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Problems solved by technology

The interference model it adopts is shown in formula (1), which needs to calculate the Gaussian error function, which is difficult for sensor nodes with limited memory and computing power

Method used

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  • A sigmoid-based interference model estimation method for wireless sensor networks
  • A sigmoid-based interference model estimation method for wireless sensor networks
  • A sigmoid-based interference model estimation method for wireless sensor networks

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Embodiment Construction

[0037] The invention is applied to the wireless sensor network. In the interference model of the sensor node, there is a transition area, and in this area, as the SINR increases, the PRR takes a value in the range of 0 to 100%. The transition region reflects the fluctuation of reception rate in the presence of interference. When the SINR meets certain requirements, the receiving node can obtain a higher receiving rate. The main goal of determining the interference model is the fitting of the transition area and the requirement for SINR when a stable receiving rate is to be obtained.

[0038] Such as figure 1 Shown, a kind of wireless sensor network interference model estimation method based on Sigmoid function is characterized in that, comprises the following steps:

[0039] Step 1. Based on the standard Sigmoid function model, introduce the stretch coefficient and translation coefficient to construct the interference model. Each node initializes the stretch coefficient and ...

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Abstract

The invention discloses a sigmoid function-based wireless sensor network interference model estimation method, which is based on a standard sigmoid function model, introduces a stretch coefficient and a translation coefficient, and constructs an interference model, and each node initializes the stretch of the interference model according to an empirical value coefficients and translation coefficients; during normal data transmission, the sample values ​​of the interference model are continuously collected; according to the sample values, linear regression is used to estimate the model parameters, and the interference model is adjusted in real time. The invention adopts the Sigmoid function as a prototype, introduces stretch coefficient and translation coefficient, simulates the wireless sensor network interference model, avoids the calculation of complex Gaussian error function, and adopts the method of parameter estimation to adjust the model accuracy, reducing the modeling Complexity; and by sampling the samples in the normal data transmission process in the network, the stretch coefficient and translation coefficient in the model are estimated, which reduces the modeling overhead.

Description

technical field [0001] The invention relates to the technical field of wireless sensor networks, in particular to a method for estimating an interference model of a wireless sensor network based on a Sigmoid function. Background technique [0002] The wireless sensor network is composed of a large number of cheap micro-sensor nodes deployed in the target area. It is a multi-hop self-organizing network formed by wireless communication. It is mainly used in the monitoring of the target area. In the wireless communication process, the packet reception rate (PRR: Packet Reception Ratio) mainly depends on the signal-to-interference-noise ratio (SINR: Signalto Interference plus Noise Ratio), and this packet-level interference model is also called the PRR-SINR model. Establishing an accurate interference model can greatly improve the performance of wireless sensor network communication protocols. [0003] Establishing interference models quickly and accurately plays an important r...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/309H04B17/345H04B17/391
CPCH04B17/309H04B17/345H04B17/391
Inventor 沈中李静晓杨露周丽芝
Owner XIDIAN UNIV
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