Abstract
The deployment of Wireless Sensor Networks at ocean provides on-site, distributed sensing of some specific events. To the existing satellite and airborne radar scrutinizing, providing incessant and real-time data feed. Due to the unforeseen conditions, it is not possible to imagine the location, size or weather circumstances affecting the region. We present a novel framework for a large-scale sensor network deployment at ocean. Our main objective is to develop communication algorithm to localize maritime monitoring using realistic channel and weather models. The design choices are based on the present application situations, through a bottom-up approach. Wireless channel and physical layer are fundamental for dependability of results, thus particular focus is given to their model assortment. The network architecture is based on a cluster model protocol with an application-specific decision. The aim is to provide the best compromise between, message delivery, energy consumption and network connectivity under dynamic change in environments.
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REFERENCES
Culler, D., Estrin, D. and Srivastava, M.: Guest Editors’ Introduction: Overview of Sensor Networks. Computer, 37, 41–49 (2004)
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y. and Cayirci, E.: Wireless sensor networks: a survey. Computer Networks, 38, 393–422 (2002)
Baker, C.R. et al.: Wireless sensor networks for home health care. 21st International Conference on Advanced Networking and Applications Workshops/Symposia. Vol 2, Proceedings, pp. 832–837 (2007)
Estrin, D., Govindan, R., Heidemann, J. and Kumar, S.: Next century challenges: scalable coordination in sensor networks. Presented at the 5th annual ACM/IEEE international conference on Mobile computing and networking, Seattle, United States (1999)
Pottie, G.J. and Kaiser, W.J.: Wireless integrated network sensors. Communications of the Acm, 43, 51–58 (2000)
Raman, B. and Chebrolu, K.: Censor networks: a critique of “sensor networks” from a systems perspective. SIGCOMM Comput. Commun. Rev., 38, 75–78 (2008)
The Network Simulator NS-2. Available: http://www.isi.edu/nsnam/ns/
OMNeT++ Community Site. Available: http://www.omnetpp.org/
Robbe, N. and Hengstermann, T.: Latest trends in airborne pollution surveillance. Sea Technology, 4 (2007)
Cobham Tracking & Locating Ltd. (2008), RF-700C2 – Combo Oil Spill Tracker. Available: http://www.seimac.com/
I. EnviroWatch Global Enviro Network. (2002), Genesis Alert System Available: http://www.genalert.com/
Maciejewska, I.: Real Time Oil Spill Detection and Tracking Based on Air-Borne and Satellite Remote Sensing Technologies (2007)
Murray, S.P.: Turbulent Diffusion of Oil in Ocean. Limnology and Oceanography, 17, 651–660 (1972)
Britton, M. and Sacks, L.: The SECOAS Project: Development of a Self-Organising, Wireless Sensor Network for Environmental Monitoring. Presented at the Second International Workshop on Sensor and Actor Network Protocols and Applications (SANPA 2004) (2004)
Nittel, S. et al.: A drift-tolerant model for data management in ocean sensor networks. Presented at the 6th ACM international workshop on Data engineering for wireless and mobile access. Beijing, China (2007)
Luo, J., Wang, D. and Zhang, Q.: Double mobility: coverage of the sea surface with mobile sensor networks. SIGMOBILE Mob. Comput. Commun. Rev., 13, 52–55 (2009)
I.W.-L.T. Group: Standard for part 15.4: Wireless MAC and PHY specifications for low rate WPAN. ed: IEEE Computer Society (2006)
Chen, C., Ma, J. and Yu, K.: Designing Energy-Efficient Wireless Sensor Networks with Mobile Sinks. World-Sensor-Web at SenSys (2006)
Vlajic, N. and Xia, D.: Wireless sensor networks: To cluster or not to cluster. In: World of Wireless, Mobile and Multimedia Networks (2006)
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Rajesh, B., Saravanan, K.A. (2016). An Improvised Effective Oceanography Monitoring Using Large Area Underwater Sensor Networks. In: Raju, N. (eds) Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment. Springer, Cham. https://doi.org/10.1007/978-3-319-18663-4_105
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DOI: https://doi.org/10.1007/978-3-319-18663-4_105
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18662-7
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