本文選題：移動群體感知 + 激勵機(jī)制　； 參考：《河北大學(xué)》2017年碩士論文

【摘要】：移動群體感知是移動計算與移動互聯(lián)網(wǎng)領(lǐng)域的研究熱點(diǎn),其基本思想是利用智能終端收集周圍環(huán)境的感知數(shù)據(jù),并將這些感知數(shù)據(jù)應(yīng)用于各種創(chuàng)新性應(yīng)用。感知信息質(zhì)量是決定移動群體感知性能的關(guān)鍵,而其中參與者選擇算法和激勵約束是影響感知信息質(zhì)量的兩個重要因素,參與者選擇策略的目標(biāo)是選擇有限數(shù)量的最優(yōu)移動節(jié)點(diǎn),采集覆蓋最全面的感知數(shù)據(jù)。從這個目標(biāo)出發(fā),本文引入基于加權(quán)熵的多目標(biāo)決策理論,設(shè)計基于加權(quán)熵多目標(biāo)決策理論的參與者選擇算法,對感知節(jié)點(diǎn)的感知能力、轉(zhuǎn)移到目標(biāo)感知區(qū)域的轉(zhuǎn)移概率和激勵要求進(jìn)行綜合評定,從而選擇出最優(yōu)質(zhì)的感知節(jié)點(diǎn)來完成多感知任務(wù)。首先,構(gòu)建了移動群體感知系統(tǒng)模型,該系統(tǒng)模型主要由發(fā)布感知任務(wù)的個人或?qū)嶓w、移動群體感知數(shù)據(jù)服務(wù)中心和感知節(jié)點(diǎn)組成。其次,根據(jù)連續(xù)馬爾科夫鏈原理建立感知節(jié)點(diǎn)的移動模型。最后,引入基于加權(quán)熵的多目標(biāo)決策理論,設(shè)計了基于加權(quán)熵多目標(biāo)決策理論的參與者選擇算法MODSM,為了驗證算法的性能,本文應(yīng)用Python腳本語言進(jìn)行實(shí)驗仿真,驗證了所設(shè)計方法的有效性。
[Abstract]:Mobile group awareness is a hot topic in the field of mobile computing and mobile Internet. Its basic idea is to use intelligent terminals to collect the perceptual data of the surrounding environment and apply these perceptual data to various innovative applications. Perceived information quality is the key to determine the perceived performance of mobile groups, and participant selection algorithm and incentive constraints are two important factors that affect the perceived information quality. The goal of the participant selection strategy is to select a limited number of optimal mobile nodes and collect the most comprehensive perceptual data. From this goal, this paper introduces the multi-objective decision-making theory based on weighted entropy, designs the participant selection algorithm based on the weighted entropy multi-objective decision making theory, and the perception ability of the perceived nodes. The transition probability and incentive requirement of moving to the target perceptual region are evaluated synthetically to select the best perception node to complete the multi-perception task. First of all, a mobile group awareness system model is constructed. The system model is composed of the individual or entity that issues the perceptual task, the mobile group perception data service center and the perception node. Secondly, the moving model of perceptual nodes is established according to the principle of continuous Markov chain. Finally, the multi-objective decision-making theory based on weighted entropy is introduced, and the participant selection algorithm based on weighted entropy multi-objective decision theory is designed. In order to verify the performance of the algorithm, this paper uses Python script language to carry out experimental simulation. The validity of the proposed method is verified.
【學(xué)位授予單位】：河北大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP301.6

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本文編號：1982764