本文關(guān)鍵詞：Android平臺下移動(dòng)LBS應(yīng)用框架的性能優(yōu)化　出處：《復(fù)旦大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： Android LBS 定位 位置隱私 手機(jī)中間件

【摘要】：近年來,隨著智能終端的普及,移動(dòng)互聯(lián)網(wǎng)也快速發(fā)展。基于地理位置的服務(wù)(Location-Based Service,以下簡稱LBS)已經(jīng)成為了一種方便且被用戶所熟知的服務(wù)。用戶只需使用智能終端中的定位模塊獲取自己當(dāng)前的地理位置,并將該地理位置發(fā)給相關(guān)服務(wù)提供商,即可從服務(wù)提供商獲取豐富的基于當(dāng)前地理位置的服務(wù)信息。然而,隨著LBS服務(wù)在智能手機(jī)領(lǐng)域的普及,各種相關(guān)的負(fù)面問題也逐漸凸顯。一方面,在LBS定位過程中,由于當(dāng)前定位方式較多且系統(tǒng)內(nèi)缺乏集中管理的模塊,所以移動(dòng)終端的定位過程普遍存在能耗較高、速度較慢、重復(fù)定位等難題；另一方面,在獲取LBS服務(wù)的過程中,由于要向服務(wù)提供商透露自己的地理位置,所以用戶位置隱私也受到了極大的威脅,如何在不泄露位置的前提下又保證服務(wù)質(zhì)量,這成為另一個(gè)研究難點(diǎn)。本文以Android平臺為例,針對移動(dòng)LBS應(yīng)用框架中定位和服務(wù)獲取這兩個(gè)步驟存在的問題,分別提出了MiLocation和DeCache兩個(gè)系統(tǒng)模型來優(yōu)化LBS框架。其中MiLocation中間件模型集中管理了Android系統(tǒng)內(nèi)定位服務(wù),使用多信息融合的方案定位終端,提高了定位魯棒性的同時(shí)節(jié)省了能耗；DeCache則巧妙地使用了兩級緩存結(jié)構(gòu),利用移動(dòng)用戶的移動(dòng)行為規(guī)律來優(yōu)化當(dāng)前系統(tǒng)架構(gòu),保護(hù)了用戶隱私安全的同時(shí)也節(jié)省了移動(dòng)數(shù)據(jù)流量。我們以提出的設(shè)計(jì)模型和優(yōu)化方案為基礎(chǔ),在Android平臺上實(shí)現(xiàn)了對應(yīng)的原型系統(tǒng)。針對MiLocation和DeCache兩個(gè)原型系統(tǒng),分別設(shè)計(jì)了仿真實(shí)驗(yàn),對比了當(dāng)前常見的移動(dòng)定位技術(shù)和主流LBS框架。實(shí)驗(yàn)的對比結(jié)果在一定程度上驗(yàn)證了系統(tǒng)設(shè)計(jì)的可行性、有效性和創(chuàng)新性。
[Abstract]:In recent years, with the popularity of intelligent terminals, mobile Internet has also developed rapidly. Location-Based Service based on geographical location services. LBS (hereinafter referred to as LBS) has become a convenient and well known service. Users only need to use the location module in the intelligent terminal to obtain their current geographical location. And the location will be sent to relevant service providers, you can obtain a wealth of service information based on the current geographical location from the service provider. However, with the popularity of LBS services in the field of smart phones. On the one hand, in the process of LBS positioning, there are many positioning methods and there is a lack of centralized management modules in the system. Therefore, the positioning process of mobile terminals generally has many problems, such as high energy consumption, slow speed, repeated positioning and so on. On the other hand, in the process of acquiring LBS service, the privacy of user location is also greatly threatened because of the need to disclose their geographical location to the service provider. How to ensure the quality of service without leaking the location has become another research difficulty. This paper takes the Android platform as an example. Aiming at the problems of location and service acquisition in mobile LBS application framework. Two system models, MiLocation and DeCache, are proposed to optimize the LBS framework, in which the MiLocation middleware model centrally manages the Android system. Location service. The scheme of multi-information fusion is used to locate the terminal, which improves the robustness of location and saves energy consumption. DeCache skillfully uses two-level cache structure to optimize the current system architecture by using the mobile behavior rules of mobile users. It not only protects user privacy security, but also saves mobile data flow. We base on the proposed design model and optimization scheme. The corresponding prototype system is implemented on the Android platform, and the simulation experiments are designed for two prototype systems, MiLocation and DeCache. The common mobile positioning technology and the mainstream LBS framework are compared, and the experimental results verify the feasibility, effectiveness and innovation of the system design to a certain extent.
【學(xué)位授予單位】：復(fù)旦大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP393.01;TN929.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 汪永松;;手機(jī)基站定位的實(shí)現(xiàn)與應(yīng)用[J];電腦編程技巧與維護(hù);2013年05期

，

本文編號：1422062