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A New Node Deployment and Location Dispatch Algorithm for Underwater Sensor Networks
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Sensors 2016, 16(1), 98; doi:10.3390/s16010098

Node Self-Deployment Algorithm Based on an Uneven Cluster with Radius Adjusting for Underwater Sensor Networks

1,2,* , 1,2
and
1,2
1
College of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
2
Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou 310018, China
*
Author to whom correspondence should be addressed.
Academic Editor: Jaime Lloret Mauri
Received: 21 November 2015 / Revised: 6 January 2016 / Accepted: 7 January 2016 / Published: 14 January 2016
(This article belongs to the Special Issue Underwater Sensor Nodes and Underwater Sensor Networks 2016)
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Abstract

Existing move-restricted node self-deployment algorithms are based on a fixed node communication radius, evaluate the performance based on network coverage or the connectivity rate and do not consider the number of nodes near the sink node and the energy consumption distribution of the network topology, thereby degrading network reliability and the energy consumption balance. Therefore, we propose a distributed underwater node self-deployment algorithm. First, each node begins the uneven clustering based on the distance on the water surface. Each cluster head node selects its next-hop node to synchronously construct a connected path to the sink node. Second, the cluster head node adjusts its depth while maintaining the layout formed by the uneven clustering and then adjusts the positions of in-cluster nodes. The algorithm originally considers the network reliability and energy consumption balance during node deployment and considers the coverage redundancy rate of all positions that a node may reach during the node position adjustment. Simulation results show, compared to the connected dominating set (CDS) based depth computation algorithm, that the proposed algorithm can increase the number of the nodes near the sink node and improve network reliability while guaranteeing the network connectivity rate. Moreover, it can balance energy consumption during network operation, further improve network coverage rate and reduce energy consumption. View Full-Text
Keywords: node self-deployment; uneven clustering; radius adjusting; network reliability node self-deployment; uneven clustering; radius adjusting; network reliability
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Jiang, P.; Xu, Y.; Wu, F. Node Self-Deployment Algorithm Based on an Uneven Cluster with Radius Adjusting for Underwater Sensor Networks. Sensors 2016, 16, 98.

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