本文關(guān)鍵詞： 無(wú)線傳感器網(wǎng)絡(luò) 混合壓縮感知 觀測(cè)矩陣 能耗優(yōu)化 重構(gòu)精度　出處：《計(jì)算機(jī)工程與科學(xué)》2017年04期 　論文類型：期刊論文

【摘要】：網(wǎng)絡(luò)節(jié)點(diǎn)能耗是影響無(wú)線傳感器網(wǎng)絡(luò)生命周期的重要因素。提出了一種基于混合壓縮感知(Hybrid-CS)的網(wǎng)絡(luò)能耗優(yōu)化方法。首先,為保證數(shù)據(jù)重構(gòu)精度,根據(jù)參加數(shù)據(jù)收集節(jié)點(diǎn)數(shù)的不同,確定合理的觀測(cè)矩陣維數(shù)范圍。然后,通過(guò)分析不同維數(shù)觀測(cè)矩陣對(duì)Hybrid-CS發(fā)送數(shù)據(jù)量的影響,求出較優(yōu)的觀測(cè)矩陣維數(shù),從而使所設(shè)計(jì)的方法達(dá)到降低網(wǎng)絡(luò)能耗的目的。仿真結(jié)果表明,該方法在節(jié)約網(wǎng)絡(luò)能耗的同時(shí)還保證了數(shù)據(jù)重構(gòu)精度。
[Abstract]:The energy consumption of network nodes is an important factor affecting the lifetime of wireless sensor networks. This paper proposes an optimization method of network energy consumption based on hybrid compression sensing hybrid-CS.Firstly, in order to ensure the accuracy of data reconfiguration, According to the different number of nodes participating in the data collection, the reasonable dimension range of the observation matrix is determined. Then, by analyzing the influence of the different dimension observation matrix on the amount of data transmitted by Hybrid-CS, the better dimension of the observation matrix is obtained. The simulation results show that the proposed method not only saves the energy consumption of the network, but also ensures the precision of data reconstruction.
【作者單位】： 華東理工大學(xué)化工過(guò)程先進(jìn)控制和優(yōu)化技術(shù)教育部重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家自然科學(xué)基金(61273073,61304044,61374107)
【分類號(hào)】：TN929.5;TP212.9
，

本文編號(hào)：1541707