本文關(guān)鍵詞：無(wú)線(xiàn)傳感網(wǎng)絡(luò)低空干擾下的通信優(yōu)化模型仿真，由筆耕文化傳播整理發(fā)布。

無(wú)線(xiàn)傳感網(wǎng)絡(luò)低空干擾下的通信優(yōu)化模型仿真

Simulation of Communication Optimization Model of Wireless Sensor Network under Low Altitude Interference

[1]

WANG Fei （ Wuhai College, Inner Mongolia University of Technology, Wuhai Inner Mongolia 016000, China）

內(nèi)蒙古工業(yè)大學(xué)烏海學(xué)院,內(nèi)蒙古烏海016000

文章摘要：準(zhǔn)確分析無(wú)線(xiàn)傳感網(wǎng)絡(luò)低空干擾程度與通信能力的關(guān)系,可以進(jìn)一步保證網(wǎng)絡(luò)的安全與穩(wěn)定,并對(duì)通信過(guò)程進(jìn)行優(yōu)化。無(wú)線(xiàn)傳感網(wǎng)絡(luò)在低空干擾下,干擾程度呈現(xiàn)關(guān)聯(lián)無(wú)序變化,導(dǎo)致網(wǎng)絡(luò)通信能力的變化也呈現(xiàn)極強(qiáng)的非線(xiàn)性。傳統(tǒng)的關(guān)聯(lián)建模方法對(duì)無(wú)線(xiàn)傳感網(wǎng)絡(luò)低空干擾下的通信優(yōu)化建模時(shí),模型受到這種隨機(jī)變化的沖擊,很難正確反映無(wú)線(xiàn)傳感網(wǎng)絡(luò)的通信優(yōu)化效果。提出一種基于數(shù)據(jù)融合算法的無(wú)線(xiàn)傳感網(wǎng)絡(luò)低空干擾下的通信優(yōu)化模型。模型考慮無(wú)線(xiàn)傳感網(wǎng)絡(luò)低空干擾因素的非自由空間描述無(wú)線(xiàn)傳感網(wǎng)絡(luò),獲取相應(yīng)環(huán)境下無(wú)線(xiàn)傳感網(wǎng)絡(luò)低空干擾程度參數(shù)值,通過(guò)節(jié)點(diǎn)數(shù)據(jù)適應(yīng)度運(yùn)算方法,針對(duì)不同的低空干擾程度參數(shù),塑造網(wǎng)絡(luò)通信所需的適應(yīng)度函數(shù),修正低空干擾產(chǎn)生的誤差,實(shí)現(xiàn)優(yōu)化建模。仿真結(jié)果說(shuō)明,通信優(yōu)化模型在網(wǎng)絡(luò)能量消耗、網(wǎng)絡(luò)延時(shí)率和誤碼率等三個(gè)方面的通信優(yōu)化建模性能都優(yōu)于傳統(tǒng)模型。

Abstr：Accurate analysis of the relationship between the degrees of low altitude interference and communication capability of wireless sensor network ensures the security and stability of network, and optimizes the communication process. When wireless sensor network is interfered at low altitude, the degree of interference presents associated disorder change, resulting in a strong nonlinearity in network communication capability changes. In the paper, a communication optimization model of wireless sensor network under low altitude interference based on data fusion algorithm was proposed. In the model, the non-free-space of wireless sensor network under low altitude interference factor was considered to describe wireless sensor network and obtain the parameter value of the degree of low altitude interference with wireless sensor network under corresponding environment. For the different parameters of the degree of low altitude interference, the calculation method of node data fitness was applied to create fitness function required by network communication, correct the error generated at low altitude and achieve optimized modeling. The simulation results show that the performance of communication optimization modeling of communication optimization model is superior to the traditional model with respect to network energy consumption, network delay rate and error rate.

文章關(guān)鍵詞：

Keyword：:Wireless sensor network （WSN） Low altitude interference Communication capability Optimization Model

作者信息：會(huì)員可見(jiàn)

  本文關(guān)鍵詞：無(wú)線(xiàn)傳感網(wǎng)絡(luò)低空干擾下的通信優(yōu)化模型仿真，，由筆耕文化傳播整理發(fā)布。