Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Technology Information Forecasting and Assessment Council

Vellore Campus

2017 International Conference on Communication and Signal Processing (ICCSP)

Estimation of CFO in OFDM based UWB system

In this paper, underwater sensor network with static sensor nodes is applied in environmental monitoring. The scope of underwater sensor applications can be enhanced by combining underwater sensor network and cloud computing. The underwater sensor cloud management is done by proposing a middleware based on metamodeling. The underwater sensor cloud architecture provides a way for underwater sensor motes to collect, store and retrieve environmental data. The proposed Hadoop framework serves as a middleware for underwater sensor cloud. The middleware that is been considered to use in our research is an intelligent context-aware middleware software that will glue together the network hardware, operating systems, network stacks and applications. It contain a runtime environment that supports and coordinates multiple applications based on multi-agents, and standardized system services such as data aggregation, control and management policies. Underwater Sensor cloud framework enables to • Extract knowledge from the data it collects and use the information to intelligently react and adapt to its surroundings. It links a remote end user's cognizance with the observed environment. • Sensor Web is an amorphous network, creating an embedded, distributed monitoring presence that provides a dynamic infrastructure for sensors. • Reduce the Labor effort and have continuous monitor of the environment • Provide more intensive and accurate data on the current status of the environment and reduces the reaction time towards the environmental changes • Since there is no specific routing of information, all pods share everything with one another. This global data sharing allows each pod to be aware of situations beyond its specific location • Usage of historical data to predict future actions and foresee the disaster to be caused quickly and more precisely • Framework can support extensibility, easy maintainability and control over the sensors deployed © 2013 IEEE.