Adaptive Cuckoo Optimized WSNs Routing Algorithm Based on Forward Transmission Dynamic Programming
| Autor: | Xiuwu Yu, Li Ying, Yu Hao, Yong Liu |
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| Rok vydání: | 2021 |
| Předmět: |
Multidisciplinary
biology Computer science Node (networking) ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Real-time computing Energy consumption biology.organism_classification Transmission (telecommunications) Computer Science::Networking and Internet Architecture Routing (electronic design automation) Cuckoo search Cuckoo Wireless sensor network Data transmission |
| Zdroj: | Arabian Journal for Science and Engineering. 47:1581-1593 |
| ISSN: | 2191-4281 2193-567X |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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