Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Shunren Hu"'
Publikováno v:
IEEE Access, Vol 8, Pp 28496-28511 (2020)
Accurate and agile link quality estimation is essential for wireless sensor networks. Using the mapping models between physical layer parameters and packet reception ratio, link quality can be estimated with advantages of high agility and low overhea
Externí odkaz:
https://doaj.org/article/87a0204adc1f4886b713ac98543a7624
Publikováno v:
Sensors, Vol 23, Iss 2, p 1036 (2023)
Accurate state-of-charge (SOC) estimation is essential for maximizing the lifetime of battery-powered wireless sensor networks (WSNs). Lightweight estimation methods are widely used in WSNs due to their low measurement and computation requirements. H
Externí odkaz:
https://doaj.org/article/08b63e03d21d44e99b08d10e2e7a9545
Publikováno v:
Sensors, Vol 22, Iss 3, p 1212 (2022)
One of the main methods for link quality prediction is to predict the physical layer parameters first, and then evaluate the link quality based on the mapping models between such parameters and packet reception ratio (PRR). However, existing methods
Externí odkaz:
https://doaj.org/article/403e5ad0ed3f49d78ec5997d78359911
Publikováno v:
Sensors, Vol 20, Iss 18, p 5327 (2020)
Hardware-based link quality estimators (LQEs) in wireless sensor networks generally use physical layer parameters to estimate packet reception ratio, which has advantages of high agility and low overhead. However, many existing studies didn’t consi
Externí odkaz:
https://doaj.org/article/6be740d407354559999224014e6bb2fe
Publikováno v:
International Journal of Antennas and Propagation, Vol 2017 (2017)
Source localization using sensor array in the near-field is a two-dimensional nonlinear parameter estimation problem which requires jointly estimating the two parameters: direction-of-arrival and range. In this paper, a new source localization method
Externí odkaz:
https://doaj.org/article/440e23cee773400594529c954e401775
Publikováno v:
IEEE Internet of Things Journal. 10:5823-5842
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fed551518bd3d84a4abf4ea40944118
https://doi.org/10.1109/jiot.2022.3233576
https://doi.org/10.1109/jiot.2022.3233576
Publikováno v:
2022 IEEE International Conference on Unmanned Systems (ICUS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca09e2ecd67481d47576b13d7e3aeef3
https://doi.org/10.1109/icus55513.2022.9987077
https://doi.org/10.1109/icus55513.2022.9987077
Publikováno v:
2022 IEEE International Conference on Unmanned Systems (ICUS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30bf4558b118c2d12e5efe6e4024fcaf
https://doi.org/10.1109/icus55513.2022.9987006
https://doi.org/10.1109/icus55513.2022.9987006
Publikováno v:
2022 IEEE 5th International Conference on Electronics Technology (ICET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecf1e05fbd40cca3dbb4236090a60c58
https://doi.org/10.1109/icet55676.2022.9824740
https://doi.org/10.1109/icet55676.2022.9824740
Publikováno v:
IEEE Access, Vol 8, Pp 28496-28511 (2020)
Accurate and agile link quality estimation is essential for wireless sensor networks. Using the mapping models between physical layer parameters and packet reception ratio, link quality can be estimated with advantages of high agility and low overhea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c63bcdcaa7765ef7ee7390d8dd3d005
https://ieeexplore.ieee.org/document/8986660/
https://ieeexplore.ieee.org/document/8986660/