本文選題：網(wǎng)絡(luò)節(jié)能優(yōu)化 + 無(wú)線傳感器��； 參考：《北方工業(yè)大學(xué)》2017年碩士論文

【摘要】：無(wú)線傳感器網(wǎng)絡(luò)是一種自組網(wǎng)絡(luò),通過(guò)無(wú)線信道實(shí)現(xiàn)信息交互的網(wǎng)絡(luò),節(jié)點(diǎn)是網(wǎng)絡(luò)的組成單元,節(jié)點(diǎn)因?yàn)闃?gòu)成自身的硬件和工作環(huán)境的特殊性,所以節(jié)點(diǎn)電池中的電量一直是影響傳感器網(wǎng)絡(luò)生命周期的重要因素,所以研究其電量消耗模型同時(shí)保證網(wǎng)絡(luò)的可靠性,利用凸優(yōu)化的方式,延長(zhǎng)生命周期。本課題首先對(duì)節(jié)點(diǎn)的硬件構(gòu)成進(jìn)行說(shuō)明,并對(duì)其工作時(shí)各部分能耗進(jìn)行對(duì)比抓住主要方面,對(duì)于生命周期從新進(jìn)行評(píng)估,并針對(duì)節(jié)點(diǎn)工作時(shí)能耗的主要方面進(jìn)行實(shí)際測(cè)量。本課題發(fā)現(xiàn)在面向的應(yīng)用場(chǎng)景為節(jié)點(diǎn)采集數(shù)據(jù)后向上傳輸,這一場(chǎng)景下的研究現(xiàn)狀的多采用啟發(fā)式算法,求解結(jié)果精度不能保證,且近似比無(wú)法進(jìn)行精確取舍,優(yōu)化的網(wǎng)絡(luò)性能單一,無(wú)法滿(mǎn)足不同的用戶(hù)需求,如果發(fā)生用戶(hù)需求改變時(shí),網(wǎng)絡(luò)無(wú)法靈活調(diào)整�；蛘卟渴瓠h(huán)境發(fā)生改變時(shí),網(wǎng)絡(luò)也不能及時(shí)作出應(yīng)對(duì)。為了解決些問(wèn)題,通過(guò)研究建模將上述需求轉(zhuǎn)換為通過(guò)使網(wǎng)絡(luò)中節(jié)點(diǎn)流量均攤以達(dá)到提高網(wǎng)絡(luò)可靠性與增加網(wǎng)絡(luò)中葉節(jié)點(diǎn)數(shù)量的方式增長(zhǎng)網(wǎng)絡(luò)壽命的雙重目標(biāo),通過(guò)加權(quán)的方式,引入綠色因子作為調(diào)控手段建立了一種可調(diào)的優(yōu)化模型RES-WSN,因?yàn)槟Ｐ蜑榫�性可解的所以結(jié)果精確度較高,計(jì)算復(fù)雜度較低。此模型較適用于較大規(guī)模的傳感器網(wǎng)絡(luò)中,能更好的提升網(wǎng)絡(luò)性能。模型的實(shí)際部署依托于原生傳感器RPL協(xié)議上的"多實(shí)例"部署思路,通過(guò)對(duì)DIO進(jìn)行小部分拓展實(shí)現(xiàn)了模型的部署方案。本文通過(guò)仿真對(duì)模型中的綠色因子進(jìn)行了多方面的實(shí)驗(yàn),然后使用MATLAB等仿真工具搭建基礎(chǔ)平臺(tái),借助這個(gè)工具對(duì)綠色因子不同的情況下進(jìn)行仿真實(shí)驗(yàn)。根據(jù)仿真實(shí)驗(yàn)的真實(shí)數(shù)據(jù),說(shuō)明傳感器網(wǎng)絡(luò)在確�？煽啃缘耐瑫r(shí)是可以最大化的延長(zhǎng)網(wǎng)絡(luò)的生命周期。分析結(jié)果證明了設(shè)計(jì)模型在無(wú)線傳感器網(wǎng)絡(luò)上有效延長(zhǎng)了網(wǎng)絡(luò)的生命周期并能一定程度的保證網(wǎng)絡(luò)的可靠性,并可以根據(jù)網(wǎng)絡(luò)不同,需求不同,通過(guò)調(diào)節(jié)綠色因子的手段而改變。
[Abstract]:Wireless sensor network (WSN) is a kind of ad hoc network, which realizes the information exchange through wireless channel. The node is the component unit of the network, because of the particularity of its own hardware and working environment. Therefore, the battery power is an important factor to affect the lifetime of sensor networks, so the study of the power consumption model to ensure the reliability of the network, the use of convex optimization method to extend the life cycle. In this paper, the hardware structure of the node is explained, and the main aspects of the energy consumption of each part of the node are compared and grasped, the life cycle is evaluated again, and the main aspects of the energy consumption of the node are measured. In this paper, it is found that in the application scenario oriented, the data collected by nodes is transmitted up. In this scenario, heuristic algorithms are often used to solve the problem, and the precision of the solution results can not be guaranteed, and the approximate ratio can not be chosen accurately. The optimized network performance is single and can not meet different user needs. If the user demand changes, the network can not be adjusted flexibly. Or deployment environment changes, the network can not make timely response. In order to solve some problems, the above requirements are transformed into the dual goal of increasing network lifetime by equalizing node traffic in the network to improve network reliability and increase the number of leaf nodes in the network. In this paper, an adjustable optimization model, RES-WSNs, is established by introducing the green factor as a means of control by weighted method. Because the model is linear and solvable, the accuracy of the results is higher and the computational complexity is lower. This model is more suitable for large scale sensor networks and can improve network performance better. The actual deployment of the model is based on the idea of "multi-instance" deployment based on the native sensor RPL protocol, and the deployment scheme of the model is realized by a small part of the expansion of the DIO. In this paper, the green factor in the model is simulated in many aspects, then the basic platform is built by using MATLAB and other simulation tools, and the simulation experiment is carried out with the aid of this tool under different green factors. According to the real data of the simulation experiment, it is shown that the sensor network can maximize the lifetime of the network while ensuring the reliability. The results show that the design model can effectively prolong the network life cycle and guarantee the reliability of the network to a certain extent in wireless sensor networks, and can be different according to the network requirements. Change by adjusting the green factor.
【學(xué)位授予單位】：北方工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TP212.9;TN929.5

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