Next Article in Journal
A Modified Rife Algorithm for Off-Grid DOA Estimation Based on Sparse Representations
Next Article in Special Issue
Node Non-Uniform Deployment Based on Clustering Algorithm for Underwater Sensor Networks
Previous Article in Journal
Tunable Microfluidic Devices for Hydrodynamic Fractionation of Cells and Beads: A Review
Previous Article in Special Issue
EFPC: An Environmentally Friendly Power Control Scheme for Underwater Sensor Networks
Article Menu

Export Article

Open AccessArticle
Sensors 2015, 15(11), 29702-29720;

SSL: Signal Similarity-Based Localization for Ocean Sensor Networks

1,* and 2,†
School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China
Transportation Bureau of Dinghai District, Zhoushan 316000, China
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editor: Jaime Lloret Mauri
Received: 1 October 2015 / Revised: 8 November 2015 / Accepted: 19 November 2015 / Published: 24 November 2015
(This article belongs to the Special Issue Underwater Sensor Nodes and Underwater Sensor Networks 2016)
Full-Text   |   PDF [5855 KB, uploaded 24 November 2015]   |  


Nowadays, wireless sensor networks are often deployed on the sea surface for ocean scientific monitoring. One of the important challenges is to localize the nodes’ positions. Existing localization schemes can be roughly divided into two types: range-based and range-free. The range-based localization approaches heavily depend on extra hardware capabilities, while range-free ones often suffer from poor accuracy and low scalability, far from the practical ocean monitoring applications. In response to the above limitations, this paper proposes a novel signal similarity-based localization (SSL) technology, which localizes the nodes’ positions by fully utilizing the similarity of received signal strength and the open-air characteristics of the sea surface. In the localization process, we first estimate the relative distance between neighboring nodes through comparing the similarity of received signal strength and then calculate the relative distance for non-neighboring nodes with the shortest path algorithm. After that, the nodes’ relative relation map of the whole network can be obtained. Given at least three anchors, the physical locations of nodes can be finally determined based on the multi-dimensional scaling (MDS) technology. The design is evaluated by two types of ocean experiments: a zonal network and a non-regular network using 28 nodes. Results show that the proposed design improves the localization accuracy compared to typical connectivity-based approaches and also confirm its effectiveness for large-scale ocean sensor networks. View Full-Text
Keywords: wireless sensor networks; similarity; localization; sea surface wireless sensor networks; similarity; localization; sea surface

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Chen, P.; Ma, H.; Gao, S.; Huang, Y. SSL: Signal Similarity-Based Localization for Ocean Sensor Networks. Sensors 2015, 15, 29702-29720.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top