Dynamic double cluster head algorithm in mobile ad-hoc wireless networks
Konferenz: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
17.12.2021 - 19.12.2021 in Shenyang, China
Tagungsband: ICMLCA 2021
Seiten: 5Sprache: EnglischTyp: PDF
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Autoren:
Xu, Qi; Zhang, Wenbo; Ge, Zhibin (School of Information Technology and Engineering, Shenyang Ligong University, ShenYang, China)
Xu, Ziyang (College of Computer Science and Engineering, Shandong University of Science and Technology, QingDao, China)
Inhalt:
Aiming at the unreasonable clustering caused by the clustering limitations of the clustering routing algorithm in mobile ad hoc networks, and the low robustness caused by the single cluster head structure, a dynamic dual cluster head clustering algorithm is proposed. Firstly, in view of the defect of low robustness of single cluster head, a double cluster head structure is designed, and the corresponding cluster maintenance mechanism is matched. Secondly, in the case of unreasonable clustering, dynamic clustering is achieved by calculating the difference between clustering and flat network structure. Finally, the process and maintenance mechanism of the algorithm are described in detail. The simulation results show that the proposed algorithm can effectively reduce the delay and increase the robustness.