本文選題：物聯(lián)網(wǎng)　切入點(diǎn)：傳感器網(wǎng)絡(luò)　出處：《科技通報(bào)》2017年03期 　論文類型：期刊論文

【摘要】：物聯(lián)網(wǎng)傳感網(wǎng)絡(luò)廣泛應(yīng)用在環(huán)境監(jiān)測和模式識別等領(lǐng)域,物聯(lián)網(wǎng)傳感網(wǎng)絡(luò)的路由協(xié)議通過多跳匯聚樹路由網(wǎng)絡(luò)進(jìn)行組網(wǎng),隨著節(jié)點(diǎn)數(shù)目的增多容易出現(xiàn)鏈路故障,需要進(jìn)行路由修復(fù)和改進(jìn)設(shè)計(jì)。提出一種基于鏈信息頭抽取和信息源定位的物聯(lián)網(wǎng)傳感器網(wǎng)絡(luò)路由改進(jìn)設(shè)計(jì)方法。構(gòu)建了物聯(lián)網(wǎng)下傳感器網(wǎng)絡(luò)的組網(wǎng)和路由探測模型,采用鏈路信息簇頭節(jié)點(diǎn)抽取和信息源定位方法進(jìn)行鏈路路由信息數(shù)據(jù)聚集,采用預(yù)加重方法廣播競選簇頭節(jié)點(diǎn)的能量損失,通過雙向鏈路估計(jì)得到路由節(jié)點(diǎn)的數(shù)據(jù)傳輸協(xié)議,采用鏈路節(jié)點(diǎn)能量和Sink節(jié)點(diǎn)距離分層方法實(shí)現(xiàn)路由優(yōu)化設(shè)計(jì)。仿真結(jié)果表明,采用該方法進(jìn)行物聯(lián)網(wǎng)傳感網(wǎng)絡(luò)的路由優(yōu)化設(shè)計(jì),提高了鏈路信息收發(fā)和數(shù)據(jù)傳輸?shù)目煽啃院屯掏铝?性能優(yōu)越。
[Abstract]:The IoT sensor network is widely used in the field of environmental monitoring and pattern recognition. The routing protocol of the IOT sensor network is constructed by multi-hop convergence tree routing network. With the increase of the number of nodes, link failure is easy to occur. This paper presents an improved routing design method for sensor networks in the Internet of things based on chain header extraction and information source location. A network and routing detection model for sensor networks under the Internet of things is constructed. Link information cluster head node extraction and information source location are used for link routing information data aggregation, preweighting method is used to broadcast the energy loss of cluster head node, and bidirectional link estimation is used to obtain the data transmission protocol of the routing node. The routing optimization design is realized by using link node energy and Sink node distance stratification method. The simulation results show that this method is used to optimize the routing design of the IoT sensor network. The reliability and throughput of link information transmission and transceiver are improved, and the performance is superior.
【作者單位】： 電子科技大學(xué)計(jì)算機(jī)科學(xué)與工程學(xué)院;
【基金】：中國工程物理研究院科技發(fā)展基金(2012A0403021) NSAF聯(lián)合基金(U1230106) 國家信息安全發(fā)展計(jì)劃(2013F098)
【分類號】：TP391.44;TN929.5;TP212

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本文編號：1643527