【摘要】：隨著世界范圍內(nèi)物聯(lián)網(wǎng)的發(fā)展,該技術(shù)逐漸在醫(yī)療領(lǐng)域投入應(yīng)用,并很快的得到了快速的推廣。而在目前醫(yī)療物聯(lián)網(wǎng)的應(yīng)用領(lǐng)域中,無線電子健康(WeHealth)系統(tǒng)的研究一直走在前列,該系統(tǒng)與傳統(tǒng)的健康監(jiān)護(hù)系統(tǒng)不同,它融合了醫(yī)療物聯(lián)網(wǎng)的應(yīng)用模式,同時(shí)更關(guān)注無線傳輸技術(shù)的應(yīng)用,該系統(tǒng)中,醫(yī)療數(shù)據(jù)的感知和傳輸更加高效、方便。 本文首先闡述了醫(yī)療物聯(lián)網(wǎng)的概念及其總體架構(gòu)、關(guān)鍵技術(shù),進(jìn)而介紹了醫(yī)療物聯(lián)網(wǎng)中的WiFi信道分配問題；然后針對WeHealth的主體架構(gòu)和應(yīng)用模式,分析了WeHealth場景下的WiFi信道分配問題,我們看到,在WeHealth場景中,13個(gè)信道分配給AP的時(shí)候,如果分配不優(yōu)AP之間將會(huì)存在干擾,導(dǎo)致系統(tǒng)吞吐量下降。 接著,本文對WeHealth系統(tǒng)的應(yīng)用需求進(jìn)行了詳細(xì)的分析,并在需求分析的基礎(chǔ)上,對WeHealth系統(tǒng)中設(shè)備的硬件架構(gòu)進(jìn)行了設(shè)計(jì),在設(shè)計(jì)中,我們提出了對網(wǎng)關(guān)AP設(shè)備集成GPS模塊的設(shè)計(jì)思路,這為新的算法的實(shí)現(xiàn)提供了硬件基礎(chǔ)。文章緊接著實(shí)現(xiàn)了硬件模塊的應(yīng)用軟件編寫,為新算法的實(shí)現(xiàn)提供了軟件基礎(chǔ)。 本文緊接著提出了基于GPS的WiFi信道分配算法。該算法是一種集中式算法,中央?yún)f(xié)調(diào)器獲得所有AP的GPS位置信息,并通過相應(yīng)的算法合理的將13個(gè)WiFi信道分配給相應(yīng)的AP,使得AP之間的干擾達(dá)到最優(yōu)化,本文最后在Android系統(tǒng)上對該算法進(jìn)行了實(shí)現(xiàn),并與傳統(tǒng)算法進(jìn)行了對比,結(jié)果表明新算法中,系統(tǒng)的吞吐量得到了很大的提高,干擾得到了很好的抑制。 WeHealth作為醫(yī)療物聯(lián)網(wǎng)領(lǐng)域中的新興的應(yīng)用模式,具有明朗的發(fā)展前景。對于WiFi信道分配的研究和實(shí)現(xiàn),可以顯著的提高WeHealth場景中無線傳輸?shù)馁|(zhì)量。對于信道分配的深入研究,對于WeHealth系統(tǒng)監(jiān)控的智能化,提高系統(tǒng)的可靠性具有很深遠(yuǎn)的意義。
[Abstract]:With the development of the Internet of things in the world, the technology has been applied in the medical field, and has been quickly popularized. In the field of medical Internet of things, the research of wireless electronic health (WeHealth) system has been in the forefront. This system is different from the traditional health monitoring system. It combines the application mode of medical Internet of things. At the same time, more attention is paid to the application of wireless transmission technology. In this system, the perception and transmission of medical data is more efficient and convenient. In this paper, the concept of the medical Internet of things and its general structure, key technologies, and then the WiFi channel allocation in the medical Internet of things are introduced. Then we analyze the problem of WiFi channel allocation in WeHealth scenario according to the main structure and application mode of WeHealth. We can see that when 13 channels are allocated to AP in WeHealth scenario, if the allocation is not optimal, there will be interference between them. Resulting in system throughput decline. Then, this paper analyzes the application requirements of WeHealth system in detail, and on the basis of requirement analysis, designs the hardware structure of the equipment in WeHealth system. We propose the design idea of the gateway AP device integrated GPS module, which provides the hardware foundation for the implementation of the new algorithm. The application software programming of the hardware module is realized, which provides the software foundation for the realization of the new algorithm. Then we propose a WiFi channel allocation algorithm based on GPS. This algorithm is a centralized algorithm. The central coordinator obtains the GPS position information of all AP, and reasonably allocates 13 WiFi channels to the corresponding AP, through the corresponding algorithm to optimize the interference between AP. Finally, the algorithm is implemented on Android system and compared with the traditional algorithm. The results show that the throughput of the new algorithm is greatly improved and the interference is well suppressed. As a new application mode in the field of medical internet of things, WeHealth has a bright future. The research and implementation of WiFi channel allocation can significantly improve the wireless transmission quality in WeHealth scenarios. The research on channel allocation is of great significance to the intelligent monitoring of WeHealth system and improving the reliability of the system.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN92

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