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Sensors 2016, 16(9), 1379; doi:10.3390/s16091379

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

College of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
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Author to whom correspondence should be addressed.
Academic Editor: Jaime Lloret Mauri
Received: 30 May 2016 / Revised: 21 August 2016 / Accepted: 23 August 2016 / Published: 29 August 2016
(This article belongs to the Section Sensor Networks)
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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
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MDPI and ACS Style

Jiang, P.; Feng, Y.; Wu, F.; Yu, S.; Xu, H. Dynamic Layered Dual-Cluster Heads Routing Algorithm Based on Krill Herd Optimization in UWSNs. Sensors 2016, 16, 1379.

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