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Spatio-Temporal Fingerprint Localization for Shipboard Wireless Sensor Networks

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成果类型:
期刊论文
作者:
Chen, Mozi;Liu, Kezhong;Ma, Jie*;Liu, Cong
通讯作者:
Ma, Jie
作者机构:
[Chen, Mozi; Liu, Kezhong; Ma, Jie] Wuhan Univ Technol, Sch Nav, Wuhan 430063, Hubei, Peoples R China.
[Liu, Kezhong; Ma, Jie] Hubei Key Lab Inland Shipping Technol, Wuhan 430063, Hubei, Peoples R China.
[Liu, Cong] Univ Texas Dallas, Dept Comp Sci, Richardson, TX 75080 USA.
通讯机构:
[Ma, Jie] W
Wuhan Univ Technol, Sch Nav, Wuhan 430063, Hubei, Peoples R China.
语种:
英文
关键词:
Shipboard environment;indoor localization;fingerprint localization;wireless sensor networks
期刊:
IEEE Sensors Journal
ISSN:
1530-437X
年:
2018
卷:
18
期:
24
页码:
10125-10133
基金类别:
National Natural Science Foundation of China (NSFC)National Natural Science Foundation of China (NSFC) [51279151, 51679182]; Major Project for the Technology Innovation of Hubei Province, China [2017AAA120]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [WUT-2017-YB-031]
机构署名:
本校为第一且通讯机构
院系归属:
航运学院
摘要:
Location-aware technology has numerous potential applications in safety, living, and services in the shipboard environment. Fingerprint-based methods that use the received signal strength indication (RSSI) to provide high positioning accuracy have been widely adopted for indoor localization. However, the RSSI can be severely disturbed by the steel structure and dynamics of the shipboard environment, which prevents it from being implemented in shipboard localization in practice. In this paper, a novel approach, called spatio-temporal fingerprint localization, is proposed. This approach can alle...

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