Tehnički vjesnik, Vol. 24 No. 1, 2017.
Prethodno priopćenje
https://doi.org/10.17559/TV-20160517080419
An efficient intelligent algorithm based on WSNs of the drug control system
Zhenjun Luo
; School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, 430070, China
Luo Zhong
; School of Computer Science and Technology, Wuhan University of Technology, No. 122 Luoshi Road, Wuhan, Hubei, 430067, China
Yingjiang Zhang
; Hubei University of Technology, No. 28 Nanli Road, Hongshan District, Wuhan, Hubei, 430068, China
Yongfei Miao
; School of Computer Science and Technology, Wuhan University of Technology, No. 122 Luoshi Road, Wuhan, Hubei, 430067, China
Tianming Ding
; Hubei Institute for Food and Drug Control, 203 room, No 54 Dingziqiao Road, Wuhan, Hubei, 430064, China
Sažetak
A new algorithm, ACORS-ANNDPF for WSNs, is proposed in this paper to improve the utilization rate of WSNs and prolong the life cycle of the IoT. Developed on the basis of ant colony algorithm, the improved algorithm is applicable to the selection of the optimal path and identification of the optimal routing node in the case of losing the routing node. To reduce the time spent on transferring network packets, the indices are selected by the neural network algorithm in light of the actual application environment and adjusted to optimize the fusion of packet data. After that, the author carries out several simulation experiments and compares the proposed algorithm with other algorithms. The results demonstrate that the proposed algorithm ensures high energy efficiency and balanced energy consumption. Therefore, it is concluded that the proposed algorithm can improve network utilization rate and lead to better network transmission performance.
Ključne riječi
artificial intelligence algorithm; energy efficient; IoT (Internet of Things); the drug control system; WSNs (Wireless Sensor Networks)
Hrčak ID:
174735
URI
Datum izdavanja:
10.2.2017.
Posjeta: 2.503 *