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Arabian Journal for Science and Engineering
Published in: Arabian Journal for Science and Engineering 2/2022

03-08-2021 | Research Article--Computer Engineering and Computer Science

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

Authors: Xiuwu Yu, Ying Li, Yong Liu, Hao Yu

Published in: Arabian Journal for Science and Engineering | Issue 2/2022

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Abstract

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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Metadata
Title
Adaptive Cuckoo Optimized WSNs Routing Algorithm Based on Forward Transmission Dynamic Programming
Authors
Xiuwu Yu
Ying Li
Yong Liu
Hao Yu
Publication date
03-08-2021
Publisher
Springer Berlin Heidelberg
Published in
Arabian Journal for Science and Engineering / Issue 2/2022
Print ISSN: 2193-567X
Electronic ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-021-05988-8

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