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Content Provider | IET Digital Library |
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Author | Zhang, Qiongbing Xie, Chengwang Jiang, Lei |
Abstract | 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. |
Starting Page | 852 |
Ending Page | 858 |
Page Count | 7 |
ISSN | 10224653 |
Volume Number | 29 |
e-ISSN | 20755597 |
Issue Number | Issue 5, Sep (2020) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/cje/29/5 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/cje.2020.07.007 |
Journal | Chinese Journal of Electronics |
Publisher Date | 2020-09-01 |
Access Restriction | Open |
Rights Holder | © Chinese Institute of Electronics |
Subject Keyword | Code Combinatorial Mathematics Crossover Mechanism Decoding Effective Multicast Routing Scheme Encoding-decoding Genetic Algorithm Global Network Link Information Leaf Crossover Mathematics Multicast Protocol Multiple Cluster Header Node Network Coding Optimisation Technique Packet Delivery Ratio Protocol Reliability Telecommunication Network Reliability Tree-based GA Tree-based Genetic Algorithm Trees Two-tiered Wireless Sensor Network Two-tiered WSN Upper Tier Node Wireless Sensor Network |
Content Type | Text |
Resource Type | Article |
Subject | Applied Mathematics Electrical and Electronic Engineering |
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