À propos de cet article

Citez

Cong, L, Li, E., Qin, H., Ling, K. V. and Xue, R. 2015. A Performance Improvement Method for Low-Cost Land Vehicle GPS/MEMS-INS Attitude Determination. Sensors (Basel) 15 (3): 5722–5746. CongL LiE. QinH. LingK. V. XueR. 2015 A Performance Improvement Method for Low-Cost Land Vehicle GPS/MEMS-INS Attitude Determination Sensors (Basel) 15 3 5722 5746 10.3390/s150305722443514125760057 Search in Google Scholar

Davari, N., Gholami, A. and Shabani, M. 2016. Performance Enhancement of GPS/INS Integrated Navigation System Using Wavelet Based De-Noising Method. AIJ - Electrical & Electronics Engineering 48: 101–112. DavariN. GholamiA. ShabaniM. 2016 Performance Enhancement of GPS/INS Integrated Navigation System Using Wavelet Based De-Noising Method AIJ - Electrical & Electronics Engineering 48 101 112 Search in Google Scholar

Dian, F. J., Vahidnia, R. and Rahmati, A. 2020. Wearables and the Internet of Things (IoT), Applications, Opportunities, and Challenges: A Survey. IEEE access 8: 69200–69211. DianF. J. VahidniaR. RahmatiA. 2020 Wearables and the Internet of Things (IoT), Applications, Opportunities, and Challenges: A Survey IEEE access 8 69200 69211 10.1109/ACCESS.2020.2986329 Search in Google Scholar

Du, H., Zhang, C. and Ye, Q., et al. 2018). A Hybrid Outdoor Localization Scheme With High-position Accuracy and Low-power Consumption J Wireless Com Network, Springer, pp. 1–13. DuH. ZhangC. YeQ. 2018 A Hybrid Outdoor Localization Scheme With High-position Accuracy and Low-power Consumption J Wireless Com Network Springer 1 13 10.1186/s13638-017-1010-4 Search in Google Scholar

Erfanmanesh, M. and Abrizah, A. 2018. Mapping worldwide research on the Internet of Things during 2011–2016. Emerald Publishing Limited 36 (6): 979–992. ErfanmaneshM. AbrizahA. 2018 Mapping worldwide research on the Internet of Things during 2011–2016 Emerald Publishing Limited 36 6 979 992 10.1108/EL-09-2017-0196 Search in Google Scholar

Ferdinando, H., Khoswanto, H. and Purwanto, D. 2012. Embedded Kalman Filter For Inertial Measurement Unit (IMU) on the Atmega8535, Conference: Innovations in Intelligent Systems and Applications (INISTA). FerdinandoH. KhoswantoH. PurwantoD. 2012 Embedded Kalman Filter For Inertial Measurement Unit (IMU) on the Atmega8535, Conference: Innovations in Intelligent Systems and Applications (INISTA) 10.1109/INISTA.2012.6246978 Search in Google Scholar

Gomez-Gil, J., Ruiz-Gonzalez, R., Alonso-Garcia, S. and Gomez-Gil, F. J. 2013. A Kalman Filter Implementation for Precision Improvement in Low-Cost GPS Positioning of Tractors, Sensors Journal 13 (11): 15307–15323. Gomez-GilJ. Ruiz-GonzalezR. Alonso-GarciaS. Gomez-GilF. J. 2013 A Kalman Filter Implementation for Precision Improvement in Low-Cost GPS Positioning of Tractors Sensors Journal 13 11 15307 15323 10.3390/s131115307387112124217355 Search in Google Scholar

Han, G., Jiang, J., Zhang, C., Duong, T. Q., Guizani, M. and Karagiannidis, G. K. 2016. A Survey on Mobile Anchor Node Assisted Localization in Wireless Sensor Networks. in IEEE Communications Surveys & Tutorials 18 (3): 2220–2243. HanG. JiangJ. ZhangC. DuongT. Q. GuizaniM. KaragiannidisG. K. 2016 A Survey on Mobile Anchor Node Assisted Localization in Wireless Sensor Networks in IEEE Communications Surveys & Tutorials 18 3 2220 2243 10.1109/COMST.2016.2544751 Search in Google Scholar

Hussein, M., Galal, A. I., Abd-Elrahman, E. and Zorkany, M. 2020. Internet of Things (IoT) Platform for Multi-Topic Messaging, Energies, MDPI. HusseinM. GalalA. I. Abd-ElrahmanE. ZorkanyM. 2020 Internet of Things (IoT) Platform for Multi-Topic Messaging, Energies, MDPI 10.3390/en13133346 Search in Google Scholar

Ingabire, W., Larijani, H., Gibson, R. M. and Qureshi, A.-U.-H. 2021. Outdoor Node Localization Using Random Neural Networks for Large-Scale Urban IoT LoRa Networks. Algorithms, MDPI. IngabireW. LarijaniH. GibsonR. M. QureshiA.-U.-H. 2021 Outdoor Node Localization Using Random Neural Networks for Large-Scale Urban IoT LoRa Networks. Algorithms, MDPI 10.3390/a14110307 Search in Google Scholar

Iswanto, Suwarno, et al 2021. Suwarno et al. IoT-based Lava Flood Early Warning System with Rainfall Intensity Monitoring and Disaster Communication Technology. Emerging Science Journal 4: 154–166. IswantoSuwarno 2021 Suwarno et al. IoT-based Lava Flood Early Warning System with Rainfall Intensity Monitoring and Disaster Communication Technology Emerging Science Journal 4 154 166 10.28991/esj-2021-SP1-011 Search in Google Scholar

James, A., Seth, A. and Mukhopadhyay, Subhas C. 2020. IoT enabled sensor node: a tutorial paper. International Journal on Smart Sensing and Intelligent Systems 13: 1–18. JamesA. SethA. MukhopadhyaySubhas C. 2020 IoT enabled sensor node: a tutorial paper International Journal on Smart Sensing and Intelligent Systems 13 1 18 10.21307/ijssis-2020-022 Search in Google Scholar

Khelifi, F., Bradai, A., Benslimane, A., Rawat, P. and Atri, M. 2019. A Survey of Localization Systems in Internet of Things Springer, Mobile Net. App. 24: 761–785. KhelifiF. BradaiA. BenslimaneA. RawatP. AtriM. 2019 A Survey of Localization Systems in Internet of Things Springer, Mobile Net. App. 24 761 785 10.1007/s11036-018-1090-3 Search in Google Scholar

Kumar, Vikram and Arablouei, Reza 2022. Self-Localization of IoT Devices Using Noisy Anchor Positions and RSSI Measurements Springer, Wireless Personal Communications. 124: 1623–1644. KumarVikram ArabloueiReza 2022 Self-Localization of IoT Devices Using Noisy Anchor Positions and RSSI Measurements Springer, Wireless Personal Communications 124 1623 1644 10.1007/s11277-021-09423-x863607134873380 Search in Google Scholar

Lee, S.-J. and Kim, H.-S. 2019. Applying the Kalman filter to increase accuracy of location measurement, International Conference on Electronics, Information, and Communication (ICEIC). LeeS.-J. KimH.-S. 2019 Applying the Kalman filter to increase accuracy of location measurement, International Conference on Electronics, Information, and Communication (ICEIC) 10.23919/ELINFOCOM.2019.8706347 Search in Google Scholar

Li, Z., Wang, R., Gao, J. and Wang, J. 2017. An Approach to Improve the Positioning Performance of GPS/INS/UWB Integrated System with Two-Step Filter. Remote Sensing journal 10: 1–9. LiZ. WangR. GaoJ. WangJ. 2017 An Approach to Improve the Positioning Performance of GPS/INS/UWB Integrated System with Two-Step Filter Remote Sensing journal 10 1 9 10.3390/rs10010019 Search in Google Scholar

Maklouf, O., Ghila, A., Abdulla, A. and Yousef, A. 2013. Low Cost IMU / GPS Integration Using Kalman Filtering for Land Vehicle Navigation Application. International Journal of Electronics and Communication Engineering 7 (2): 184–190. MakloufO. GhilaA. AbdullaA. YousefA. 2013 Low Cost IMU / GPS Integration Using Kalman Filtering for Land Vehicle Navigation Application International Journal of Electronics and Communication Engineering 7 2 184 190 Search in Google Scholar

Moreau, J., Ambellouis, S. and Ruichek, Y. 2017. Fisheye-Based Method for GPS Localization Improvement in Unknown Semi-Obstructed Areas, Sensors Journal 17 (1): 119. MoreauJ. AmbellouisS. RuichekY. 2017 Fisheye-Based Method for GPS Localization Improvement in Unknown Semi-Obstructed Areas Sensors Journal 17 1 119 10.3390/s17010119529869228106746 Search in Google Scholar

Rizzi, M., Depari, A., Ferrari, P., Flammini, A., Rinaldi, S. and Sisinni, E. 2019. Synchronization Uncertainty Versus Power Efficiency in LoRaWAN Networks. in IEEE Transactions on Instrumentation and Measurement 68: 1101–1111. RizziM. DepariA. FerrariP. FlamminiA. RinaldiS. SisinniE. 2019 Synchronization Uncertainty Versus Power Efficiency in LoRaWAN Networks in IEEE Transactions on Instrumentation and Measurement 68 1101 1111 10.1109/TIM.2018.2859639 Search in Google Scholar

Romaniuk, S. and Gosiewski, Z. 2014. Kalman filter realization for orientation and position estimation on dedicated processor, acta mechanica et automatica. 8 (2): 88–94. RomaniukS. GosiewskiZ. 2014 Kalman filter realization for orientation and position estimation on dedicated processor acta mechanica et automatica 8 2 88 94 10.2478/ama-2014-0016 Search in Google Scholar

Ryu, J. H., Gankhuyag, G. and Chong, K. T. 2016. Navigation System Heading and Position Accuracy Improvement through GPS and INS Data Fusion, Hindawi Publishing Corporation, Journal of Sensors 2016: 7942963. RyuJ. H. GankhuyagG. ChongK. T. 2016 Navigation System Heading and Position Accuracy Improvement through GPS and INS Data Fusion, Hindawi Publishing Corporation Journal of Sensors 2016 7942963 10.1155/2016/7942963 Search in Google Scholar

Sabale, Ketan and Mini, S. 2019. Anchor Node Path Planning for Localization in Wireless Sensor Networks Springer, Wireless Networks. 25 (1): 49–61. SabaleKetan MiniS. 2019 Anchor Node Path Planning for Localization in Wireless Sensor Networks Springer, Wireless Networks. 25 1 49 61 10.1007/s11276-017-1538-6 Search in Google Scholar

Saini, R., Karle, M., Shailesh Karle, U. and Karuvelil, F., et al. 2019. Implementation of Multi-Sensor GPS/IMU Integration Using Kalman Filter for Autonomous Vehicle, SAE, Symposium on International Automotive Technology. SainiR. KarleM. Shailesh KarleU. KaruvelilF. 2019 Implementation of Multi-Sensor GPS/IMU Integration Using Kalman Filter for Autonomous Vehicle, SAE, Symposium on International Automotive Technology 10.4271/2019-26-0095 Search in Google Scholar

Shafique, K., et al. 2020. Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios. IEEE Access 8: 23022–23040. ShafiqueK. 2020 Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios IEEE Access 8 23022 23040 10.1109/ACCESS.2020.2970118 Search in Google Scholar

Suroso, D. J., et al. 2022. Fingerprint Database Enhancement by Applying Interpolation and Regression Techniques for IoT-based Indoor Localization. Emerging Science Journal 4: 167–189. SurosoD. J. 2022 Fingerprint Database Enhancement by Applying Interpolation and Regression Techniques for IoT-based Indoor Localization Emerging Science Journal 4 167 189 10.28991/esj-2021-SP1-012 Search in Google Scholar

Werries, A. and Dolan, J. M. 2016. Adaptive Kalman Filtering Methods for Low-Cost GPS/INS Localization for Autonomous Vehicles, Computer Science. WerriesA. DolanJ. M. 2016 Adaptive Kalman Filtering Methods for Low-Cost GPS/INS Localization for Autonomous Vehicles Computer Science Search in Google Scholar

Zhu, M., Yu, F. and Xiao, S. 2019. An Unconventional Multiple Low-Cost IMU and GPS-Integrated Kinematic Positioning and Navigation Method Based on Singer Model, Sensors journal. ZhuM. YuF. XiaoS. 2019 An Unconventional Multiple Low-Cost IMU and GPS-Integrated Kinematic Positioning and Navigation Method Based on Singer Model Sensors journal 10.3390/s19194274680606131581636 Search in Google Scholar

eISSN:
1178-5608
Langue:
Anglais
Périodicité:
Volume Open
Sujets de la revue:
Engineering, Introductions and Overviews, other