Asynchronous Localization With Mobility Prediction for Underwater Acoustic Sensor Networks

Most applications of underwater acoustic sensor networks (UASNs) rely upon reliable location information of sensor nodes. However, the harsh underwater environment makes localization more challenging as compared to terrestrial sensor networks. This paper is concerned with a localization issue for UA...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:IEEE transactions on vehicular technology Ročník 67; číslo 3; s. 2543 - 2556
Hlavní autori: Yan, Jing, Zhang, Xiaoning, Luo, Xiaoyuan, Wang, Yiyin, Chen, Cailian, Guan, Xinping
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.03.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithm design and analysis
Anchors
Autonomous underwater vehicles
Broadcasting
Clocks
Computer simulation
Economic models
Localization
Localization method
Lower bounds
mobility
Networks
Optimization
Prediction algorithms
Sensors
Synchronization
underwater acoustic sensor network
Underwater acoustics
ISSN:0018-9545, 1939-9359
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:Most applications of underwater acoustic sensor networks (UASNs) rely upon reliable location information of sensor nodes. However, the harsh underwater environment makes localization more challenging as compared to terrestrial sensor networks. This paper is concerned with a localization issue for UASNs, subject to clock asynchronization and node mobility. A hybrid architecture including autonomous underwater vehicles (AUVs), active and passive sensor nodes is designed, where AUVs act as anchor nodes to provide localization information for sensor nodes. In order to eliminate the effect of asynchronous clocks and compensate the mobility of sensor nodes, an asynchronous localization algorithm with mobility prediction is provided for active and passive sensor nodes. Then, two localization optimization problems are formulated as minimizing the sum of all measurement errors. To solve the localization optimization problems, iterative least squares estimators are designed. In addition, the convergence analysis and Cramé r-Rao lower bound for the localization errors are also provided. Finally, simulation results show that the proposed localization approach can reduce the localization time by comparing with the exhaustive search-based localization method. Meanwhile, the asynchronous algorithm in this paper can effectively eliminate the impact of the clock asynchronization and node mobility.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2017.2764265