To read this content please select one of the options below:

Energy-aware localization algorithm for Ocean Internet of Things

Ying Guo (Qingdao University of Science and Technology, Qingdao, China)
Qinghe Han (Qingdao University of Science and Technology, Qingdao, China)
Jinxin Wang (Qingdao University of Science and Technology, Qingdao, China)
Xu Yu (Qingdao University of Science and Technology, Qingdao, China)

Sensor Review

ISSN: 0260-2288

Article publication date: 8 December 2017

Issue publication date: 6 March 2018

209

Abstract

Purpose

Localization is one of the critical issues in Ocean Internet of Things (OITs). The existing research results of localization in OITs are very limited. It poses many challenges due to the difficulty of deploy beacon accurately, the difficulty of transmission distance estimation in harsh ocean environment and the underwater node mobility. This paper aims to provide a novel localization algorithm to solve these problems.

Design/methodology/approach

This paper takes the ship with accurate position as a beacon, analyzes the relationship between underwater energy attenuation and node distance and takes them into OITs localization algorithm design. Then, it studies the movement regulation of underwater nodes in the action of ocean current, and designs an Energy-aware Localization Algorithm (ELA) for OITs.

Findings

Proposing an ELA. ELA takes the ship with accurate position information as a beacon to solve the problem of beacon deployment. ELA does not need to calculate the information transmission distance which solves the problem of distance estimation. It takes underwater node movement regulation into computation to solve the problem of node mobility.

Originality value

This paper provides an ELA based on the relationship between propagation energy attenuation and node distance for OITs. It solves the problem of localization in dynamic underwater networks.

Keywords

Acknowledgements

The work was supported by Natural Science Foundation of Shandong Province (ZR2016FQ10), National Natural Science Foundation of China (61303193, 61402246, 61379128), Shandong Province High Education Science and Technology Project (J15LN38), Qingdao Indigenous Innovation Program (No.15-9-1-47-jch).

Citation

Guo, Y., Han, Q., Wang, J. and Yu, X. (2018), "Energy-aware localization algorithm for Ocean Internet of Things", Sensor Review, Vol. 38 No. 2, pp. 129-136. https://doi.org/10.1108/SR-06-2017-0105

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

Related articles