Adaptive Cuckoo Optimized WSNs Routing Algorithm Based on Forward Transmission Dynamic Programming

被引：0
作者：
Xiuwu Yu
Ying Li
Yong Liu
Hao Yu
机构：
[1] University of South China,School of Resource & Environment and Safety Engineering
来源：
Arabian Journal for Science and Engineering | 2022年 / 47卷
关键词：
Wireless sensor networks (WSNs); Routing; Dynamic programming; Forward transmission; Cuckoo search algorithm;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In order to effectively balance the energy consumption of wireless sensor networks and ensure the real-time performance of data transmission, an adaptive cuckoo optimized WSNs routing algorithm (ACRFD) based on forward transmission dynamic programming is proposed. Firstly, the forward transmission area of the node is defined to form an energy-saving routing toward the Sink node. Secondly, according to the multi-hop characteristics of data transmission in wireless sensor networks, the energy consumption balanced WSNs dynamic programming model with minimum delay is established. Finally, the cuckoo search algorithm with adaptive search step is introduced to obtain the optimal solution of the model. The simulation results show that, compared with the other three routing algorithms, the ACRFD algorithm effectively prolongs the network lifetime, and the energy consumption is more balanced, and the real-time performance of data transmission is significantly improved.
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页码：1581 / 1593
页数：12
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