{"title":"Modeling and Simulation of Acoustic Link Using Mackenize Propagation Speed Equation","authors":"Christhu Raj M. R., Rajeev Sukumaran","country":null,"institution":"","volume":106,"journal":"International Journal of Computer and Information Engineering","pagesStart":2228,"pagesEnd":2237,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10002837","abstract":"Underwater acoustic networks have attracted great\r\nattention in the last few years because of its numerous applications.\r\nHigh data rate can be achieved by efficiently modeling the physical\r\nlayer in the network protocol stack. In Acoustic medium,\r\npropagation speed of the acoustic waves is dependent on many\r\nparameters such as temperature, salinity, density, and depth.\r\nAcoustic propagation speed cannot be modeled using standard\r\nempirical formulas such as Urick and Thorp descriptions. In this\r\npaper, we have modeled the acoustic channel using real time data of\r\ntemperature, salinity, and speed of Bay of Bengal (Indian Coastal\r\nRegion). We have modeled the acoustic channel by using Mackenzie\r\nspeed equation and real time data obtained from National Institute of\r\nOceanography and Technology. It is found that acoustic propagation\r\nspeed varies between 1503 m\/s to 1544 m\/s as temperature and\r\ndepth differs. The simulation results show that temperature, salinity,\r\ndepth plays major role in acoustic propagation and data rate\r\nincreases with appropriate data sets substituted in the simulated\r\nmodel.","references":null,"publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 106, 2015"}