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Single Anchor Node Based Localization in Mobile Underwater Wireless Sensor Networks

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Book cover Algorithms and Architectures for Parallel Processing (ICA3PP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9532))

Abstract

Underwater Sensor Networks (UWSN) provide a promising solution for aquatic applications. Localization in Mobile Underwater Sensor Networks is very challenging because of the harsh environmental characteristics and limitations of radio communication. Minimization of energy utilization is another critical issue in UWSN domain. Hence, networking protocols with least communication overhead are desirable. In this paper, we propose a single anchor node based localization scheme to minimize communication packets required for location estimation. A sensor node estimates its location using Time of Arrival and Angle of Arrival measurements. Location of mobile anchor nodes is updated periodically by adopting the mobility pattern of particles in ocean waves. We analyzed the performance of the scheme with real geographic coordinates of different locations in the Arabian ocean collected using Google Earth. Experimental results showed that the proposed method provided better performance for short range sensor nodes.

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Acknowledgments

The research was financially supported by Higher Education Department, Government of Kerala and the facilities are provided by College of Engineering, Trivandrum, India.

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Correspondence to Anjana P. Das .

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© 2015 Springer International Publishing Switzerland

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Das, A.P., Thampi, S.M. (2015). Single Anchor Node Based Localization in Mobile Underwater Wireless Sensor Networks. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9532. Springer, Cham. https://doi.org/10.1007/978-3-319-27161-3_69

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  • DOI: https://doi.org/10.1007/978-3-319-27161-3_69

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27160-6

  • Online ISBN: 978-3-319-27161-3

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