Remote Identification for Smart-meter Operation Error based on a Wireless Sensor Network in a Smart City

Wenyu Liu; Haishan Zhou; Muxin Zhang; Ying Shang; Yudan Liu

doi:10.5573/IEIESPC.2022.11.6.444

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자료유형: 학술저널

저자정보: Wenyu Liu (State Grid Liaoning Marketing Service Center) Haishan Zhou (State Grid Liaoning Marketing Service Center) Muxin Zhang (State Grid Liaoning Marketing Service Center) Ying Shang (State Grid Liaoning Marketing Service Center) Yudan Liu (State Grid Liaoning Marketing Service Center)

저널정보: 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.11 No.6

발행연도: 2022.12

수록면: 444 - 454 (11page)

DOI: 10.5573/IEIESPC.2022.11.6.444

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This paper presents a remote identification method for smart-meter operation errors based on a wireless sensor network (WSN) in a smart city to reduce the bad operation of smart meters. In the WSN, ZigBee communication technology was used to collect data from smart meters to enhance the reliability of information. The LEACH protocol can effectively extend the network life cycle and was selected as a communication protocol for WSNs to collect operation data from intelligent meters. Based on the operation data of a smart meter collected by a WSN, a remote identification model of operation error of a smart meter was established. The limited memory least square algorithm was adopted to construct the remote identification model of operation error for a smart meter to realize the remote identification of a smart-meter error in a smart city. The proposed method can use a WSN to collect operation data from a smart meter and remotely identify the mean absolute percentage error (MAPE) and root mean square error (RMSE) of a smart meter’s operation error, which were less than 1%.

#Wireless #Sensor network #Smart city #Smart meter #Operation error #Remote identification

참고문헌 (25)

참고문헌 신청

L. Cheng, M. Xue, Y. Wang, & Y Bi. “A robust tracking algorithm based on modified generalized probability data as-sociation for wireless sensor network”. IEEE Transactions on Industrial Electronics 2021, pp. 1-8.

E. B. Priyanka, T. K Devi, P. Sakthivel & A. S. Sagayaraj. “Gate diffusion input (gdi) codes involved viterbi decoders in wireless sensor network for enhancing qos service”. Analog Integrated Circuits and Signal Processing 2022, 111(2), pp. 287-298.

P. Nancy, S. Muthurajkumar, S. Ganapathy, S. Kumar, M. Selvi & K. Arputharaj (2020). “Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks.” IET Communications, 2020, 14(5), pp. 888-895.

S. Qiu, Y. H. Zhu, X. Tian & K. Chi. “Goodputmaximised data delivery scheme for battery-free wireless sensor network.” IET Communications 2020, 14(4), pp. 665-673.

R. Abbasikesbi, A. Nikfarjam & M. Nemati. “Developed wireless sensor network to supervise the essential parameters in greenhouses for internet of things applications.” IET Circuits Devices & Systems 2020, 14(8), pp. 1258-1264.

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