Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Chuhang Wang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Clustering and routing protocols play a pivotal role in reducing energy consumption and extending the lifespan of wireless sensor networks. However, optimizing energy efficiency to maximize network longevity remains a primary challenge for t
Externí odkaz:
https://doaj.org/article/ca204223489d4e44a867232bf7f0714e
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0301470 (2024)
In wireless sensor networks, the implementation of clustering and routing protocols has been crucial in prolonging the network's operational duration by conserving energy. However, the challenge persists in efficiently optimizing energy usage to maxi
Externí odkaz:
https://doaj.org/article/df09adca2b1140f9a87f63dc5617ed42
Publikováno v:
Sensors, Vol 24, Iss 13, p 4105 (2024)
The main limitation of wireless sensor networks (WSNs) lies in their reliance on battery power. Therefore, the primary focus of the current research is to determine how to transmit data in a rational and efficient way while simultaneously extending t
Externí odkaz:
https://doaj.org/article/f1b0535ef9df4026bc4cf345823cfa8a
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)
Abstract In order to enhance the speed control performance of the brushless DC motor (BLDCM), a novel proportion integration differentiation (PID) is proposed in this paper by using dual fuzzy logic systems (FLSs) with harmony search algorithm (HSA)
Externí odkaz:
https://doaj.org/article/d62e5211f43e4409ba0e4a2b019b7c22
Autor:
Chuhang Wang
Publikováno v:
Sensors, Vol 23, Iss 15, p 6699 (2023)
Clustering is considered to be one of the most effective ways for energy preservation and lifetime maximization in wireless sensor networks (WSNs) because the sensor nodes are equipped with limited energy. Thus, energy efficiency and energy balance h
Externí odkaz:
https://doaj.org/article/29a28e5b27904d11a09bdf1ecc82d838
Publikováno v:
ETRI Journal, Vol 43, Iss 4, Pp 674-683 (2021)
A trust‐aware secure routing protocol (TSRP) for wireless sensor networks is proposed in this paper to defend against varieties of attacks. First, each node calculates the comprehensive trust values of its neighbors based on direct trust value, ind
Externí odkaz:
https://doaj.org/article/4910054dca334f9689800d2d650f52aa
Publikováno v:
IEEE Access, Vol 8, Pp 158082-158096 (2020)
In wireless sensor networks, organizing nodes into clusters, finding routing paths and maintaining the clusters are three critical factors that significantly impact the network lifetime. In this paper, using a chaotic genetic algorithm, a clustering
Externí odkaz:
https://doaj.org/article/3eb69b7fd8ab488eb35e797e6cbbc74f
Publikováno v:
Advances in Mechanical Engineering, Vol 12 (2020)
This paper proposes a linear quadratic regulator (LQR) optimized back propagation neural network (BPNN) PI controller called LN-PI for the speed control of brushless direct current (BLDC) motor. The controller adopts BPNN to adjust the gain K P and K
Externí odkaz:
https://doaj.org/article/99f07587dc7141c0aabb0e8a56ddfd5d
Publikováno v:
Advances in Mechanical Engineering, Vol 12 (2020)
In order to improve the working stability of brushless direct current motors (BLDCM), a diagonal recursive neural network (DRNN) control strategy based on Q-learning algorithm is proposed in this paper which is called as Q-DRNN. In Q-DRNN, DRNN itera
Externí odkaz:
https://doaj.org/article/dfc1f756a76740bda21d53aec25dc977
Publikováno v:
Advances in Mechanical Engineering, Vol 11 (2019)
In this article, a genetic algorithm–based proportional integral differential–type fuzzy logic controller for speed control of brushless direct current motors is presented to improve the performance of a conventional proportional integral differe
Externí odkaz:
https://doaj.org/article/164fc2866cc24a3eb13d60d1c2417f30