| 计算机技术 |
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| 去中心化的室内定位众包数据质量控制方法 |
张学军( ),邝浚鑫,李成泽,李梅,张斌,加小红 |
| 兰州交通大学 电子与信息工程学院，甘肃 兰州 730070 |
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| Decentralized indoor positioning crowdsourcing data quality control method |
| Xuejun ZHANG(),Junxin KUANG,Chengze LI,Mei LI,Bin ZHANG,Xiaohong JIA |
| School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China |
引用本文:
张学军,邝浚鑫,李成泽,李梅,张斌,加小红. 去中心化的室内定位众包数据质量控制方法[J]. 浙江大学学报(工学版), 2025, 59(9): 1814-1825.
Xuejun ZHANG,Junxin KUANG,Chengze LI,Mei LI,Bin ZHANG,Xiaohong JIA. Decentralized indoor positioning crowdsourcing data quality control method. Journal of ZheJiang University (Engineering Science), 2025, 59(9): 1814-1825.
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https://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2025.09.005
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https://www.zjujournals.com/eng/CN/Y2025/V59/I9/1814
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| 21 |
KHATRI I, KUMAR D, GUPTA A A noise robust kernel fuzzy clustering based on picture fuzzy sets and KL divergence measure for MRI image segmentation[J]. Applied Intelligence, 2023, 53 (13): 16487- 16518
doi: 10.1007/s10489-022-04315-4
|
| 22 |
WANG H, LIAO Y, LI Y, et al BDR-net: bhattacharyya distance-based distribution metric modeling for rotating object detection in remote sensing[J]. IEEE Transactions on Instrumentation and Measurement, 2022, 72: 5002612
|
| 23 |
张学军, 何福存, 盖继扬, 等 边缘计算下指纹室内定位差分私有联邦学习模型[J]. 计算机研究与发展, 2022, 59 (12): 2667- 2688
ZHANG Xuejun, HE Fucun, GAI Jiyang, et al A differentially private federated learning model for fingerprinting indoor localization in edge computing[J]. Journal of Computer Research and Development, 2022, 59 (12): 2667- 2688
doi: 10.7544/issn1000-1239.20210270
|
| 24 |
ZHANG X, HE F, CHEN Q, et al A differentially private indoor localization scheme with fusion of WiFi and bluetooth fingerprints in edge computing[J]. Neural Computing and Applications, 2022, 34 (6): 4111- 4132
doi: 10.1007/s00521-021-06815-9
|
| 25 |
TORRES-SOSPEDRA J, MONTOLIU R, MARTÍNEZ-USÓ A, et al. UJIIndoorLoc: a new multi-building and multi-floor database for WLAN fingerprint-based indoor localization problems [C]// Proceedings of the International Conference on Indoor Positioning and Indoor Navigation. Busan: IEEE, 2014: 261–270.
|
| 26 |
JIANG X, CHEN Y, LIU J, et al FSELM: fusion semi-supervised extreme learning machine for indoor localization with Wi-Fi and Bluetooth fingerprints[J]. Soft Computing, 2018, 22 (11): 3621- 3635
doi: 10.1007/s00500-018-3171-4
|
| 27 |
NABATI M, ALI GHORASHI S A real-time fingerprint-based indoor positioning using deep learning and preceding states[J]. Expert Systems with Applications, 2023, 213: 118889
doi: 10.1016/j.eswa.2022.118889
|
| 1 |
SINHA R S, HWANG S H Comparison of CNN applications for RSSI-based fingerprint indoor localization[J]. Electronics, 2019, 8 (9): 989
doi: 10.3390/electronics8090989
|
| 2 |
FENG X, NGUYEN K A, LUO Z A survey of deep learning approaches for WiFi-based indoor positioning[J]. Journal of Information and Telecommunication, 2022, 6 (2): 163- 216
doi: 10.1080/24751839.2021.1975425
|
| 3 |
HASSEN W F, MEZGHANI J. CNN based approach for indoor positioning services using RSSI fingerprinting technique [C]// Proceedings of the International Wireless Communications and Mobile Computing. Dubrovnik: IEEE, 2022: 778–783.
|
| 4 |
SINGH A, KUMAR G, SAHA R, et al A survey and taxonomy of consensus protocols for blockchains[J]. Journal of Systems Architecture, 2022, 127: 102503
doi: 10.1016/j.sysarc.2022.102503
|
| 5 |
KARA M, LAOUID A, ALSHAIKH M, et al A compute and wait in PoW (CW-PoW) consensus algorithm for preserving energy consumption[J]. Applied Sciences, 2021, 11 (15): 6750
doi: 10.3390/app11156750
|
| 6 |
TRIVEDI A, MISTRY H, SHAH Y, et al. Enhanced schema for proof of stake mechanism based on stake size and random validator selection [C]// Proceedings of the International Conference on Advanced Computing Technologies and Applications. Mumbai: IEEE, 2023: 1–6.
|
| 7 |
KIM J, OH S, KIM Y, et al. Improving voting of block producers for delegated proof-of-stake with quadratic delegate [C]// Proceedings of the International Conference on Platform Technology and Service. Busan: IEEE, 2023: 13–17.
|
| 8 |
HUANG J, KONG L, CHENG L, et al BlockSense: towards trustworthy mobile crowdsensing via proof-of-data blockchain[J]. IEEE Transactions on Mobile Computing, 2024, 23 (2): 1016- 1033
|
| 9 |
LI M, WENG J, YANG A, et al CrowdBC: a blockchain-based decentralized framework for crowdsourcing[J]. IEEE Transactions on Parallel and Distributed Systems, 2019, 30 (6): 1251- 1266
doi: 10.1109/TPDS.2018.2881735
|
| 10 |
WU H, DÜDDER B, WANG L, et al Blockchain-based reliable and privacy-aware crowdsourcing with truth and fairness assurance[J]. IEEE Internet of Things Journal, 2022, 9 (5): 3586- 3598
doi: 10.1109/JIOT.2021.3097950
|
| 11 |
CAI C, ZHENG Y, DU Y, et al Towards private, robust, and verifiable crowdsensing systems via public blockchains[J]. IEEE Transactions on Dependable and Secure Computing, 2021, 18 (4): 1893- 1907
|
| 12 |
SHEN X, XU C, ZHU L, et al Blockchain-based lightweight and privacy-preserving quality assurance framework in crowdsensing systems[J]. IEEE Internet of Things Journal, 2024, 11 (1): 974- 986
doi: 10.1109/JIOT.2023.3288349
|
| 13 |
LU Y, TANG Q, WANG G. ZebraLancer: private and anonymous crowdsourcing system atop open blockchain [C]// Proceedings of the IEEE 38th International Conference on Distributed Computing Systems. Vienna: IEEE, 2018: 853–865.
|
| 14 |
ZOU S, XI J, XU G, et al CrowdHB: a decentralized location privacy-preserving crowdsensing system based on a hybrid blockchain network[J]. IEEE Internet of Things Journal, 2022, 9 (16): 14803- 14817
doi: 10.1109/JIOT.2021.3084937
|
| 15 |
ZHAO W, PENG Y, XIE F, et al. Nominative signature scheme based on schnorr signature [C]// Proceedings of the IEEE International Conference on Computer Science and Automation Engineering. Zhangjiajie: IEEE, 2012: 724–728.
|
| 16 |
LEE H, LEE J Convolutional model with a time series feature based on RSSI analysis with the Markov transition field for enhancement of location recognition[J]. Sensors, 2023, 23 (7): 3453
doi: 10.3390/s23073453
|
| 17 |
TIAN X, ZHANG W, YANG Y, et al Toward a quality-aware online pricing mechanism for crowdsensed wireless fingerprints[J]. IEEE Transactions on Vehicular Technology, 2018, 67 (7): 5953- 5964
doi: 10.1109/TVT.2018.2805383
|
| 18 |
PITU F, GAITAN N C. Survey of security, performance, and profitability of monero: a browser-based cryptocurrency [C]// Proceedings of the 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering. Tenerife: IEEE, 2023: 1–5.
|
| 19 |
XU T, CAI Y. Exploring historical location data for anonymity preservation in location-based services [C]// Proceedings of the 27th Conference on Computer Communications. Phoenix: IEEE, 2008: 547–555.
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