ZHANG Qiongbing, XIE Chengwang, JIANG Lei, “A Novel Tree-Based Genetic Algorithm for the Multicast Protocol in Two-Tiered WSNs,” Chinese Journal of Electronics, vol. 29, no. 5, pp. 852-858, 2020, doi: 10.1049/cje.2020.07.007
Citation: ZHANG Qiongbing, XIE Chengwang, JIANG Lei, “A Novel Tree-Based Genetic Algorithm for the Multicast Protocol in Two-Tiered WSNs,” Chinese Journal of Electronics, vol. 29, no. 5, pp. 852-858, 2020, doi: 10.1049/cje.2020.07.007

A Novel Tree-Based Genetic Algorithm for the Multicast Protocol in Two-Tiered WSNs

doi: 10.1049/cje.2020.07.007
Funds:  This work is supported by the National Natural Science Foundation of China (No.61763010), Guangxi "BAGUI Scholar" Program (No.[2016]127), Hunan Province Science Foundation for Youths (No. 2020JJ5202), and Science and Technology Major Project of Guangxi (No.AA18118047).
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  • Corresponding author: XIE Chengwang (corresponding author) was born in 1974. He received the Ph.D. degree in computer and theory from Wuhan University in 2010. He is a professor of Nanning Normal University. His research interests include swarm intelligence and multi-objective optimization. (Email:chengwangxie@163.com)
  • Received Date: 2019-08-13
  • Rev Recd Date: 2020-06-03
  • Publish Date: 2020-09-10
  • Genetic algorithms (GAs) serve as a class of powerful tools to search for an effective multicast routing scheme among multiple cluster header nodes, which strongly affects the lifetime of two-tiered Wireless sensor networks (WSNs). This paper proposes a novel Genetic algorithm (GA) with a new crossover mechanism called Leaf crossover for the multicast routing among upper tier nodes in two-tiered WSNs, which outperforms the existing popular tree-based GAs by not requiring the global network link information, encoding/decoding or repair operations. Our simulation study indicates that the proposed algorithm could prolong the lifetime of multicast service, increase the packet delivery ratio as well as converge fast by comparison with existing GAs.
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