Quality, Reliability, Security and Robustness in Heterogeneous Networks. 9th International Conference, QShine 2013, Greader Noida, India, January 11-12, 2013, Revised Selected Papers

Research Article

HASL: High-Speed AUV-Based Silent Localization for Underwater Sensor Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-37949-9_11,
        author={Tamoghna Ojha and Sudip Misra},
        title={HASL: High-Speed AUV-Based Silent Localization for Underwater Sensor Networks},
        proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Networks. 9th International Conference, QShine 2013, Greader Noida, India, January 11-12, 2013, Revised Selected Papers},
        proceedings_a={QSHINE},
        year={2013},
        month={7},
        keywords={AUV based localization Underwater Acoustic Sensor Networks Silent Localization},
        doi={10.1007/978-3-642-37949-9_11}
    }
    
  • Tamoghna Ojha
    Sudip Misra
    Year: 2013
    HASL: High-Speed AUV-Based Silent Localization for Underwater Sensor Networks
    QSHINE
    Springer
    DOI: 10.1007/978-3-642-37949-9_11
Tamoghna Ojha1,*, Sudip Misra1,*
  • 1: Indian Institute of Technology
*Contact email: tojha@sit.iitkgp.ernet.in, smisra@sit.iitkgp.ernet.in

Abstract

The existing solutions that have been proposed to address the localization problem for mobile Underwater Sensor Networks (UWSNs) exhibit performance challenges such as high message overhead, localization error, and cost. Few Autonomous Underwater Vehicle (AUV) based methods were introduced to utilize the flexibility of movement of an AUV. In this paper, we propose a distributed, 3-dimensional, energy-efficient localization scheme, named High-Speed AUV-Based Silent Localization (HASL), for large-scale mobile UWSNs. Three AUVs are used to provide beacon messages to localize the mobile sensor nodes ‘silently’. Therefore, with the use of high-speed AUV and ‘silent’ listening, we design an efficient scheme capable of addressing some of the above mentioned challenges with the existing solutions. We evaluated our proposed scheme in NS-3 simulator. Simulation results show that HASL achieves more than 90% localization coverage with localization error in the order of 2-7 .