Distributed sensing and cooperative estimation/detection of ubiquitous power internet of things

Haoyong Chen1, Xiaojuan Wang1, Zhihao Li1, Wutao Chen1, Yu Cai2
1School of Electric Power, South China University of Technology, Guangzhou, China
2Electric Power Research Institute of Guangdong Power Grid Co. Ltd, Guangzhou, China

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Tài liệu tham khảo

Zemin, J. (2008). Development of IT industry in China in the new age [J]. Shanghai Jiaotong Univ (Sci), 42(10), 1589–1607.

Zhitao, G., Jing, L., Longfei, W., et al. (2017). Achieving efficient and secure data Acquisition for Cloud-supported Internet of things in smart grid [J]. IEEE Internet Things J, 4(6), 1934–1944.

Al-Fuqaha, A., Guizani, M., Mohammadi, M., et al. (2015). Internet of things: A survey on enabling technologies, protocols and applications [J]. IEEE Communications Surveys & Tutorials, 17(4), 2347–2376.

Reka, S. S., & Dragicevic, T. (2018). Future effectual role of energy delivery: A comprehensive review of internet of things and smart grid [J]. Renew Sust Energ Rev, 91, 90–108.

Ahmed, E., Yaqoob, I., Hashem, I. A. T., et al. (2017). The role of big data analytics in internet of things [J]. Comput Netw, 129(2), 459–471.

Ou, H., Zeng, L., Li, X., et al. (2012). Power networking overview and development status [J]. Digital Communication, 39(5), 62–64.

Mengchun, J., Jiye, W., Zhihua, C., et al. (2014). Research and application of sensor information model in power internet of things [J]. Power System Technology, 38(2), 532–537.

Haoyong, C., Xiaojuan, W., Yongzhi, C., et al. (2018). Distributed sensing and cooperative estimation/detection of complex power/energy and energy systems [J]. Power System Protection and Control, 46(18), 1–10.

Ping, Z., Shilin, L. I., & Zheng, H. U. (2018). Enhanced-mobile ubiquitous smart environment——The super state of internet of things [J]. Chinese Journal on Internet of Things, 2(01), 17–23.

Weifu, Z., Jinghui, C., Xiaofeng, W., et al. (2014). The security analysis and countermeasure of power internet of things [J]. Electric Power Information and Communication Technology, 12(8), 121–125.

Yan, Z., Lingkang, Z., & Xi, C. (2011). Architecture of power internet of things [J]. Electricity, 22(5), 10–15.

Murtaza, T., & Andrea, C. (2011). Distributed and decentralized multicamera tracking [J]. Signal Processing Magazine, 28(3), 46–58.

Cai Yongzhi, A. (2016). Dissertation submitted for the degree of doctor of philosophy [D]. South China University of. Technology.

Leung, H., Chandana, S., & WEI, S. (2008). Distributed sensing based on intelligent sensor networks [J]. IEEE Circuits & Systems Magazine, 8(2), 38–52.

Li, K., Weixin, X., Jianjun, H., et al. (2013). Distributed compressive sensing for wireless sensor networks [J]. J Signal Process, 29(11), 1560–1567.

Faragher, R. (2012). Understanding the basis of the Kalman filter via a simple and intuitive derivation [lecture notes] [J]. Signal Processing Magazine, 29(5), 128–132.

Shanxiong, C., Zhongshi, H., Hailing, X., et al. (2015). A reconstruction algorithm of wireless sensor signal based on compressed sensing [J]. Chinese Journal of Computers, 38(03), 614–624.

Bing, S., & Xinyu, J. (2014). Applications of compressive sensing in target tracking of wireless sensor networks [J]. Journal of Electronic Measurement & Instrumentation, 28(05), 463–468.

Donoho, D. L. (2006). Compressed sensing [J]. Transactions on Information Theory, 52(4), 1289–1306.

Huazi, Z. (2013). Distributed signal processing and information spreading in wireless network [D]. Zhejiang University.

Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. (2002). Energy-efficient communication protocol for wireless microsensor networks [C]. In Hawaii international conference on system sciences (p. 8020).

Falcão, D. M., Wu, F. F., & Murphy, L. (1995). Parallel and distributed state estimation [J]. Transactions on Power Systems, 10(2), 724–730.

Predd, J. B., Kulkarni, S. R., & Poor, H. V. (2007). Distributed learning in wireless sensor networks [M]. Chichester: John Wiley & Sons.

Tai, X. (2013). New state estimation techniques for smart power networks with communication constraints | NOVA. The University of Newcastle's digital repository [J]. Eur Neurol, 36(3), 125–133.