paper presentation for aqua communication using modem
paper presentation for aqua communication using modem
paper presentation for aqua communication using modem
paper presentation for aqua communication using modem
aqua communication using modem ppt
ABSTRACT
While wireless communication technology today has become part of our daily life, the idea of wireless under sea communications may still seem far-fetched. However, research has been active for over a decade on designing the methods for wireless information transmission underwater. has been made in terrestrial sensor net-works to revolutionize sensing and data collection. To bring the concept of long-lived, dense sensor networks to the underwater environment, there is a compelling need to develop low-cost and low-power acoustic modems for short-range communications. This paper explains aboutusing modem and presents designing and developing such a modem.
INTRODUCTION
are beginning to revolutionize data collection in the physical world, relatively little work has been done to explore how sensor networks apply underwater. wireless communication, dense deployments (each sensor may have eight or more neighbors), self-configuration and , and maximizing the utility of any energy consumed. Our primary application is seismic monitoring, with alternative applications including assistance during , pipeline and leak monitoring, biological data collection, or underwater robot communication. Sensor networks typically consist of many battery-powered nodes, densely deployed in an area for close observation and long-term monitoring.The underwater acoustic channel presents strong challenges to the design of data communication networks. Besides severe multipath reflections, there can be curved propagation paths due to uneven temperature distribution and various interference, such as bubbles and noise from man-made objects. However, a potential penalty of this approach is that individual modems become quite expensive and power-hungry, making use of hundreds of modem-equipped sensors economically infeasible. We therefore explore a complementary path that emphasizes simple but numerous devices that benefit fromdense sensing (e.g., eight or more neighbors per node, rather than one or two) and shorter-range communication. In addition to simpler node-to-node channels due to shorter range,higher-level approaches can compensate for channel problems through approaches such as routing, link-layer re-transmission and application-layer coding.