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無(wú)線傳感器網(wǎng)絡(luò)中基于壓縮感知和GM(1,1)的異常檢測(cè)方案

李鵬 王建新 曹建農(nóng)

李鵬, 王建新, 曹建農(nóng). 無(wú)線傳感器網(wǎng)絡(luò)中基于壓縮感知和GM(1,1)的異常檢測(cè)方案[J]. 電子與信息學(xué)報(bào), 2015, 37(7): 1586-1590. doi: 10.11999/JEIT141219
引用本文: 李鵬, 王建新, 曹建農(nóng). 無(wú)線傳感器網(wǎng)絡(luò)中基于壓縮感知和GM(1,1)的異常檢測(cè)方案[J]. 電子與信息學(xué)報(bào), 2015, 37(7): 1586-1590. doi: 10.11999/JEIT141219
Li Peng, Wang Jian-xin, Cao Jian-nong. Abnormal Event Detection Scheme Based on Compressive Sensing and GM (1,1) in Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2015, 37(7): 1586-1590. doi: 10.11999/JEIT141219
Citation: Li Peng, Wang Jian-xin, Cao Jian-nong. Abnormal Event Detection Scheme Based on Compressive Sensing and GM (1,1) in Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2015, 37(7): 1586-1590. doi: 10.11999/JEIT141219

無(wú)線傳感器網(wǎng)絡(luò)中基于壓縮感知和GM(1,1)的異常檢測(cè)方案

doi: 10.11999/JEIT141219
基金項(xiàng)目: 

國(guó)家自然科學(xué)基金重點(diǎn)項(xiàng)目(61232001/F02)和國(guó)家自然科學(xué)基金面上項(xiàng)目(61173169/F020802)

Abnormal Event Detection Scheme Based on Compressive Sensing and GM (1,1) in Wireless Sensor Networks

  • 摘要: 針對(duì)現(xiàn)有的異常事件檢測(cè)算法準(zhǔn)確率低和能量開(kāi)銷(xiāo)較大等問(wèn)題,該文提出一種基于壓縮感知(CS)和GM(1,1) 的異常事件檢測(cè)方案。首先,基于分簇的思想將傳感器節(jié)點(diǎn)的數(shù)據(jù)進(jìn)行壓縮采樣后傳輸至Sink,針對(duì)傳感器網(wǎng)絡(luò)中數(shù)據(jù)稀疏度未知的特點(diǎn),提出一種基于步長(zhǎng)自適應(yīng)的塊稀疏信號(hào)重構(gòu)算法。然后,Sink基于CM(1,1)對(duì)節(jié)點(diǎn)發(fā)生的異常進(jìn)行預(yù)測(cè),并對(duì)節(jié)點(diǎn)的工作狀態(tài)進(jìn)行自適應(yīng)調(diào)整。仿真實(shí)驗(yàn)結(jié)果表明,相比于其它異常檢測(cè)算法,該算法的誤警率和漏檢率較低,在保證異常事件檢測(cè)可靠性的同時(shí),有效地節(jié)省了節(jié)點(diǎn)能量。
  • 張波, 劉郁林, 王開(kāi), 等. 基于概率稀疏隨機(jī)矩陣的壓縮數(shù)據(jù)收集方法[J]. 電子與信息學(xué)報(bào), 2014, 36(6): 1478-1484.
    Zhang Bo, Liu Yu-lin, Wang Kai, et al.. Compressive data gathering method based on probabilistic sparse random matrices[J]. Journal of Electronics Information Technology, 2014, 36(6): 1478-1484.
    Xie Miao, Hu Jian-kun, Han Song, et al.. Scalable hypergrid k-NN-based online anomaly detection in-network aggregation for wireless sensor networks[J]. IEEE Transactions on Parallel and Distributed Systems, 2013, 24(8): 1661-1670.
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    Wang Jin, Tang Shao-jie, Yin Bao-cai, et al.. Distributed compressive sampling for lifetime optimization in dense wireless sensor networks through intelligent compressive sensing[C]. IEEE International Conference on Computer Communications, Orlando, FL, USA, 2012: 603-611.
    Sun Bo, Shan Xue-mei, Wu Kui, et al.. Anomaly detection based secure in-network aggregation for wireless sensor networks[J]. IEEE Systems Journal, 2013, 7(1): 13-25.
    Vempaty A, Han Y, and Varshney P. Target localization in wireless sensor networks using error correcting codes[J]. IEEE Transactions on Information Theory, 2014, 60(1): 697-712.
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    練秋生, 劉芳, 陳書(shū)貞. 基于塊 A*正交匹配追蹤的多傳感器數(shù)據(jù)聯(lián)合重構(gòu)算法[J]. 電子與信息學(xué)報(bào), 2013, 35(3): 721-727.
    Lian Qiu-sheng, Liu Fang, and Chen Shu-zhen. A joint reconstruction algorithm for multiple sensor data based on block A* orthogonal matching pursuit[J]. Journal of Electronics Information Technology, 2013, 35(3): 721-727.
    奎曉燕, 張士庚, 王建新. DSCAU: 非均衡負(fù)載無(wú)線傳感器網(wǎng)絡(luò)的基于支配集的分簇?cái)?shù)據(jù)收集算法[J]. 高技術(shù)通訊, 2012, 22(9): 918-924.
    Kui Xiao-yan, Zhang Shi-geng, and Wang Jian-xin. DSCAU: a dominating set based clustering algorithm for data gathering in wireless sensor networks with unbalanced traffic load[J]. High Technology Letters, 2012, 22(9): 918-924.
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出版歷程
  • 收稿日期:  2014-09-17
  • 修回日期:  2015-03-02
  • 刊出日期:  2015-07-19

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