Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32722
SNC Based Network Layer Design for Underwater Wireless Communication Used in Coral Farms

Authors: T. T. Manikandan, Rajeev Sukumaran

Abstract:

For maintaining the biodiversity of many ecosystems the existence of coral reefs play a vital role. But due to many factors such as pollution and coral mining, coral reefs are dying day by day. One way to protect the coral reefs is to farm them in a carefully monitored underwater environment and restore it in place of dead corals. For successful farming of corals in coral farms, different parameters of the water in the farming area need to be monitored and maintained at optimal level. Sensing underwater parameters using wireless sensor nodes is an effective way for precise and continuous monitoring in a highly dynamic environment like oceans. Here the sensed information is of varying importance and it needs to be provided with desired Quality of Service(QoS) guarantees in delivering the information to offshore monitoring centers. The main interest of this research is Stochastic Network Calculus (SNC) based modeling of network layer design for underwater wireless sensor communication. The model proposed in this research enforces differentiation of service in underwater wireless sensor communication with the help of buffer sizing and link scheduling. The delay and backlog bounds for such differentiated services are analytically derived using stochastic network calculus.

Keywords: Underwater Coral Farms, SNC, differentiated service, delay bound, backlog bound.

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 266

References:


[1] S. A.Wooldridge and T. J. Done, “Improved water quality can ameliorate effects of climate change on corals,” Ecological Applications, vol. 19, no. 6, pp. 1492–1499, 2009.
[2] E. R. Selig, K. S. Casey, and J. F. Bruno, “New insights into global patterns of ocean temperature anomalies: implications for coral reef health and management,” Global Ecology and Biogeography, vol. 19, no. 3, pp. 397–411, 2010.
[3] T. F. Goreau, “The physiology of skeleton formation in corals. i. a method for measuring the rate of calcium deposition by corals under different conditions,” The Biological Bulletin, vol. 116, no. 1, pp. 59–75, 1959.
[4] D. Seveso, S. Montano, G. Strona, I. Orlandi, P. Galli, and M. Vai, “Exploring the effect of salinity changes on the levels of hsp60 in the tropical coral seriatopora caliendrum,” Marine environmental research, vol. 90, pp. 96–103, 2013.
[5] J. G. Dunn, P. W. Sammarco, and G. LaFleur Jr, “Effects of phosphate on growth and skeletal density in the scleractinian coral acropora muricata: A controlled experimental approach,” Journal of Experimental Marine Biology and Ecology, vol. 411, pp. 34–44, 2012.
[6] R. Braden, D. Clark, and S. Shenker, “Rfc1633: Integrated services in the internet architecture: an overview,” 1994.
[7] S. Blake, D. Black, M. Carlson, E. Davies, Z. Wang, W. Weiss et al., “An architecture for differentiated services,” 1998.
[8] P. Hurley, J.-Y. Le Boudec, P. Thiran, and M. Kara, “Abe: Providing a low-delay service within best effort,” IEEE Network, vol. 15, no. 3, pp. 60–69, 2001.
[9] V. Firoiu, X. Zhang, and Y. Guo, “Best effort differentiated services: Trade-off service differentiation for elastic applications,” in IEEE ICT, vol. 88. Citeseer, 2001.
[10] M. Podlesny and S. Gorinsky, “Leveraging the rate-delay trade-off for service differentiation in multi-provider networks,” IEEE Journal on Selected Areas in Communications, vol. 29, no. 5, pp. 997–1008, 2011.
[11] Y. Jiang, Y. Liu et al., Stochastic network calculus. Springer, 2008, vol. 1.
[12] Q. Yin, Y. Jiang, S. Jiang, and P. Y. Kong, “Analysis on generalized stochastically bounded bursty traffic for communication networks,” in 27th Annual IEEE Conference on Local Computer Networks, 2002. Proceedings. LCN 2002. IEEE, 2002, pp. 141–149.
[13] W. H. Tranter, D. P. Taylor, R. E. Ziemer, N. F. Maxemchuk, and J. W. Mark, “A generalized processor sharing approach to flow control in integrated services networks: The singlenode case,” 2007.