Back to Search
Start Over
Asynchronous Localization With Mobility Prediction for Underwater Acoustic Sensor Networks
- Source :
- IEEE Transactions on Vehicular Technology. 67:2543-2556
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
Abstract
- 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 Crame 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.
- Subjects :
- Engineering
Optimization problem
Computer Networks and Communications
business.industry
Node (networking)
Real-time computing
Aerospace Engineering
Brute-force search
020206 networking & telecommunications
020302 automobile design & engineering
02 engineering and technology
Synchronization
0203 mechanical engineering
Asynchronous communication
Automotive Engineering
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
Algorithm design
Electrical and Electronic Engineering
business
Underwater acoustics
Wireless sensor network
Subjects
Details
- ISSN :
- 19399359 and 00189545
- Volume :
- 67
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Vehicular Technology
- Accession number :
- edsair.doi...........2d97410936dead3efaee919d3a9ea8d0