{"title":"SNC Based Network Layer Design for Underwater Wireless Communication Used in Coral Farms","authors":"T. T. Manikandan, Rajeev Sukumaran","volume":189,"journal":"International Journal of Computer and Information Engineering","pagesStart":394,"pagesEnd":402,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10012696","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.<\/p>","references":"[1] S. A.Wooldridge and T. J. Done, \u201cImproved water quality can ameliorate\r\neffects of climate change on corals,\u201d Ecological Applications, vol. 19,\r\nno. 6, pp. 1492\u20131499, 2009.\r\n[2] E. R. Selig, K. S. Casey, and J. F. Bruno, \u201cNew insights into global\r\npatterns of ocean temperature anomalies: implications for coral reef\r\nhealth and management,\u201d Global Ecology and Biogeography, vol. 19,\r\nno. 3, pp. 397\u2013411, 2010.\r\n[3] T. F. Goreau, \u201cThe physiology of skeleton formation in corals. i. a\r\nmethod for measuring the rate of calcium deposition by corals under\r\ndifferent conditions,\u201d The Biological Bulletin, vol. 116, no. 1, pp. 59\u201375,\r\n1959.\r\n[4] D. Seveso, S. Montano, G. Strona, I. Orlandi, P. Galli, and M. Vai,\r\n\u201cExploring the effect of salinity changes on the levels of hsp60 in the\r\ntropical coral seriatopora caliendrum,\u201d Marine environmental research,\r\nvol. 90, pp. 96\u2013103, 2013.\r\n[5] J. G. Dunn, P. W. Sammarco, and G. LaFleur Jr, \u201cEffects of phosphate on\r\ngrowth and skeletal density in the scleractinian coral acropora muricata:\r\nA controlled experimental approach,\u201d Journal of Experimental Marine\r\nBiology and Ecology, vol. 411, pp. 34\u201344, 2012.\r\n[6] R. Braden, D. Clark, and S. Shenker, \u201cRfc1633: Integrated services in\r\nthe internet architecture: an overview,\u201d 1994.\r\n[7] S. Blake, D. Black, M. Carlson, E. Davies, Z. Wang, W. Weiss et al.,\r\n\u201cAn architecture for differentiated services,\u201d 1998.\r\n[8] P. Hurley, J.-Y. Le Boudec, P. Thiran, and M. Kara, \u201cAbe: Providing a\r\nlow-delay service within best effort,\u201d IEEE Network, vol. 15, no. 3, pp.\r\n60\u201369, 2001.\r\n[9] V. Firoiu, X. Zhang, and Y. Guo, \u201cBest effort differentiated services:\r\nTrade-off service differentiation for elastic applications,\u201d in IEEE ICT,\r\nvol. 88. Citeseer, 2001.\r\n[10] M. Podlesny and S. Gorinsky, \u201cLeveraging the rate-delay trade-off for\r\nservice differentiation in multi-provider networks,\u201d IEEE Journal on\r\nSelected Areas in Communications, vol. 29, no. 5, pp. 997\u20131008, 2011.\r\n[11] Y. Jiang, Y. Liu et al., Stochastic network calculus. Springer, 2008,\r\nvol. 1.\r\n[12] Q. Yin, Y. Jiang, S. Jiang, and P. Y. Kong, \u201cAnalysis on generalized\r\nstochastically bounded bursty traffic for communication networks,\u201d in\r\n27th Annual IEEE Conference on Local Computer Networks, 2002.\r\nProceedings. LCN 2002. IEEE, 2002, pp. 141\u2013149.\r\n[13] W. H. Tranter, D. P. Taylor, R. E. Ziemer, N. F. Maxemchuk, and J. W.\r\nMark, \u201cA generalized processor sharing approach to flow control in\r\nintegrated services networks: The singlenode case,\u201d 2007.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 189, 2022"}