Dynamic Layered Dual-Cluster Heads Routing Algorithm Based on Krill Herd Optimization in UWSNsReportar como inadecuado


Dynamic Layered Dual-Cluster Heads Routing Algorithm Based on Krill Herd Optimization in UWSNs


Dynamic Layered Dual-Cluster Heads Routing Algorithm Based on Krill Herd Optimization in UWSNs - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

College of Automation, Hangzhou Dianzi University, Hangzhou 310018, China





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Academic Editor: Jaime Lloret Mauri

Abstract Aimed at the limited energy of nodes in underwater wireless sensor networks UWSNs and the heavy load of cluster heads in clustering routing algorithms, this paper proposes a dynamic layered dual-cluster routing algorithm based on Krill Herd optimization in UWSNs. Cluster size is first decided by the distance between the cluster head nodes and sink node, and a dynamic layered mechanism is established to avoid the repeated selection of the same cluster head nodes. Using Krill Herd optimization algorithm selects the optimal and second optimal cluster heads, and its Lagrange model directs nodes to a high likelihood area. It ultimately realizes the functions of data collection and data transition. The simulation results show that the proposed algorithm can effectively decrease cluster energy consumption, balance the network energy consumption, and prolong the network lifetime. View Full-Text

Keywords: UWSNs; routing algorithm; Krill Herd optimization; dynamic layered UWSNs; routing algorithm; Krill Herd optimization; dynamic layered





Autor: Peng Jiang * , Yang Feng, Feng Wu, Shanen Yu and Huan Xu

Fuente: http://mdpi.com/



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