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A Localization Method for Underwater Wireless Sensor Networks Based on Mobility Prediction and Particle Swarm Optimization Algorithms
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Sensors 2016, 16(2), 229;

A Collaborative Secure Localization Algorithm Based on Trust Model in Underwater Wireless Sensor Networks

1,2,* , 1,†
Department of Information and Communication Systems, Hohai University, 200 North Jinling Road, Changzhou 213022, China
Changzhou Key Laboratory of Sensor Networks and Environmental Sensing, Changzhou 213022, China
Guangdong Petrochemical Equipment Fault Diagnosis Key Laboratory, Guangdong University of Petrochemical Technology, Maoming 525000, China
Instituto de Telecomunicações, University of Beira Interior, Portugal and University of Fortaleza (UNIFOR), Ceará 60811-905, Brazil
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editor: Jaime Lloret Mauri
Received: 14 December 2015 / Revised: 25 January 2016 / Accepted: 5 February 2016 / Published: 16 February 2016
(This article belongs to the Special Issue Underwater Sensor Nodes and Underwater Sensor Networks 2016)
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Localization is one of the hottest research topics in Underwater Wireless Sensor Networks (UWSNs), since many important applications of UWSNs, e.g., event sensing, target tracking and monitoring, require location information of sensor nodes. Nowadays, a large number of localization algorithms have been proposed for UWSNs. How to improve location accuracy are well studied. However, few of them take location reliability or security into consideration. In this paper, we propose a Collaborative Secure Localization algorithm based on Trust model (CSLT) for UWSNs to ensure location security. Based on the trust model, the secure localization process can be divided into the following five sub-processes: trust evaluation of anchor nodes, initial localization of unknown nodes, trust evaluation of reference nodes, selection of reference node, and secondary localization of unknown node. Simulation results demonstrate that the proposed CSLT algorithm performs better than the compared related works in terms of location security, average localization accuracy and localization ratio. View Full-Text
Keywords: underwater wireless sensor networks; trust evaluation; collaborative secure localization underwater wireless sensor networks; trust evaluation; collaborative secure localization

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Han, G.; Liu, L.; Jiang, J.; Shu, L.; Rodrigues, J.J. A Collaborative Secure Localization Algorithm Based on Trust Model in Underwater Wireless Sensor Networks. Sensors 2016, 16, 229.

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