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首頁(yè)> 中文期刊> 《計(jì)算機(jī)工程與應(yīng)用》 >狀態(tài)轉(zhuǎn)換和事件觸發(fā)的機(jī)會(huì)網(wǎng)絡(luò)節(jié)點(diǎn)移動(dòng)模型

狀態(tài)轉(zhuǎn)換和事件觸發(fā)的機(jī)會(huì)網(wǎng)絡(luò)節(jié)點(diǎn)移動(dòng)模型

     
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機(jī)會(huì)網(wǎng)絡(luò)是移動(dòng)Ad-hoc網(wǎng)絡(luò)重點(diǎn)研究的內(nèi)容,節(jié)點(diǎn)移動(dòng)建模是其中的一個(gè)關(guān)鍵問題.提出一種狀態(tài)轉(zhuǎn)換和事件觸發(fā)的機(jī)會(huì)網(wǎng)絡(luò)節(jié)點(diǎn)移動(dòng)模型.將節(jié)點(diǎn)的移動(dòng)模式抽象成主社區(qū)、其他社區(qū)和聯(lián)系它們的路徑等三個(gè)狀態(tài),建立三狀態(tài)轉(zhuǎn)換模型;推導(dǎo)出事件觸發(fā)的社區(qū)停留時(shí)間指數(shù)分布函數(shù).仿真結(jié)果表明,該模型接近真實(shí)數(shù)據(jù)集,且取得了比HCMM稍好的精度.%Opportunistic networks are mobile Ad-hoc networks, and nodes mobility modeling is one of the key problems. A nodes mobility model using state transition and triggered events mechanism is proposed. Three states, which include major community state, path state and other community state, are designed, and the corresponding transmission mode is proposed. Then an exponential distribution function of residence time based on triggered event is deduced. The experimental results using the proposed model approximate the real data set, and this model has also slightly higher accuracy than the existed HCMM.

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