Underwater Wireless Sensor Networks

Sweta S - GMRIT, Rajam Andhra Pradesh, India
Balajee Maram - GMRIT, Rajam Andhra Pradesh, India


Citation Format:



DOI: http://dx.doi.org/10.30630/joiv.2.1.99

Abstract


There are a plenty of unexploited resources that lies underwater that covers almost 75% of the earth.In order to utilise them,the ï¬eld of underwater wireless sensor networks (UWSN) is attracting the  researchers to extend their thoughts in this field. The wireless sensor networks are heavy networks that consist of small low cost sensors that have a large amount of solving ability and energy resources which can be applicable in any type of irregular environments irrespective of changing conditions. Keeping in view of the real-time remote data transferring requirements, underwater acoustic sensor networks (UASN) has been recognised as a preferred network because it satisfies all aspects of data transfer. In UASN, the required availability and recycling of energy resources along with specified utilisation of data with the help of utilized sensor nodes for energy requirements that are necessary are done for the development of  further theories in these contexts. Due to these causes, the maximum underwater resources utilisation techniques mainly depends on UAN (Underwater Acoustic Networks).Underwater wireless sensor networks (UWSNs) suitable for applications on submarine detection and monitoring,where nodes collect data with a mobile autonomous underwater vehicle (AUV) via optical communications, and applied accordingly to deal with further approaches. They provide continuous monitoring for various applications like ocean sampling network, pollution monitoring, submarine detection, disaster prevention etc.This paper particularly deals with a brief collection of the UWSN applications and some of the algorithms for the path finding in order to pass  maximum valued information(VOI) among the different nodes.

Keywords


Underwater wireless sensor networks (UWSN); underwater acoustic networks (UAN); Autonomous underwater vehicle (AUV); Value of Information (VOI).

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References


Petrica gjanci ,Chiara petrioli, Stefano Basagni ,Cynthia A.Philips,Ladisau boloni and Damla Turgut,IEEE 2706689,2017.

D N Sandeep and Vinay Kumar proposed 2015, “Review on clustering, coverage and connectivity in underwater wireless sensor networks, communication techniques perspectiveâ€.

IEEE Farr N. Bowen ,A.Ware, J., Pontbriand, C.&Tivey, M.2010 “An integrated ,underwater,optical/acoustic communications system.

Ji Li, Lachlan LH Andrew, Chuan Heng Foh, Moshe Zukerman, and Hsiao- Hwa Chen. Connectivity, coverage and placement in wireless sensor networks. Sensors, 9(10):7664–7693, 2009

P. A. Forero, S. K. Lapic, C. Wakayama, and M. Zorzi. Rollout algorithms for data storage-and energy-aware data retrieval using autonomous underwater vehicles. In Proceedings of ACM WUWNet 2014, pages 22:1–22:8, Rome, Italy, November 12–14 2014.

C. Bisdikian, J. Branch, K. K. Leung, and R. I. Young. A letter soup for the quality of information in sensor networks. In Proceedings of IQ2S 2009, pages 1–6, Galveston, TX, March 9 2009.

G. A. Hollinger, S. Choudhary, P. Qarabaqi, C. Murphy, U. Mitra, G. S. Sukhatme, M. Stojanovic, H. Singh, and F. Hover. Underwater data collection using robotic sensor networks. IEEE Journal on Selected Areas in Communications, 30(5):899–911, 2012.

D. Turgut and L. Bölöni. IVE: Improving the value of information in energy-constrained intruder tracking sensor networks. In Proceedings of IEEE ICC 2013, pages 4953–4957, Budapest, Hungary, June9–132013C.

Bisdikian, L. M. Kaplan, M. B. Srivastava, D. J. Thornley, D. Verma, and R. I. Young. Building principles for a quality of information speciï¬cation for sensor information. In Proceedings of IEEEFUSION2009, pages1370–1377, Seattle, WA,July6–9 2009.

G. A. Hollinger, S. Choudhary, P. Qarabaqi, C. Murphy, U. Mitra, G. S. Sukhumi, M. Stojanovic, H. Singh, and F. Hover. Underwater data collection using robotic sensor networks. IEEE Journal on Selected Areas in Communications, 30(5):899–911, 2012.

D. Turgut and L. Bölöni. A pragmatic value of information approach for intruder tracking sensor networks. In Proceedings of IEEEICC2012, pages4931–4936, Ottawa, Canada, June10–15 2012.

D. Turgut and L. Bölöni. IVE: Improving the value of information in energy-constrained intruder tracking sensor networks. In Proceedings of IEEE ICC 2013, pages 4953–4957, Budapest, Hungary, June9–132013.

N. Farr, J. Ware, C. Pontbriand, T. Hammar, and M. Tivey. Optical communication system expands CORK seafloor observatory’s bandwidth. In Proceedings of the MTS/IEEEOCEANS 2010, pages1–6, Seattle, WA, September20–232010.

M. Doniec, C. Detweiler, I. Vasilescu, and D. Rus. Using optical communication for remote underwater robot operation. In Proceedings of IEEE/RSJ Intelligent Robotsand Systems, IROS 2010, pages4017–4022, Taipei, Taiwan, October18–222010.