一種基于混合壓縮感知的WSN能耗優(yōu)化方法
發(fā)布時間:2018-02-27 07:27
本文關鍵詞: 無線傳感器網(wǎng)絡 混合壓縮感知 觀測矩陣 能耗優(yōu)化 重構精度 出處:《計算機工程與科學》2017年04期 論文類型:期刊論文
【摘要】:網(wǎng)絡節(jié)點能耗是影響無線傳感器網(wǎng)絡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)絡能耗優(yōu)化方法。首先,為保證數(shù)據(jù)重構精度,根據(jù)參加數(shù)據(jù)收集節(jié)點數(shù)的不同,確定合理的觀測矩陣維數(shù)范圍。然后,通過分析不同維數(shù)觀測矩陣對Hybrid-CS發(fā)送數(shù)據(jù)量的影響,求出較優(yōu)的觀測矩陣維數(shù),從而使所設計的方法達到降低網(wǎng)絡能耗的目的。仿真結果表明,該方法在節(jié)約網(wǎng)絡能耗的同時還保證了數(shù)據(jù)重構精度。
[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】: 華東理工大學化工過程先進控制和優(yōu)化技術教育部重點實驗室;
【基金】:國家自然科學基金(61273073,61304044,61374107)
【分類號】:TN929.5;TP212.9
,
本文編號:1541707
本文鏈接:http://sikaile.net/kejilunwen/xinxigongchenglunwen/1541707.html
最近更新
教材專著