Intelligent information retrieval for Tsunami detection using wireless sensor nodes
Various natural hazards can be detected by well trained sensors deployed at the target sites. This paper proposes a novel framework of a Tsunami detection system using wireless sensor nodes deployed in coastal areas around earth's magnetic poles. The proposed framework implements intelligent information retrieval technique to generate a Tsunami alert. This method makes use of proposed parameters that defines the underwater condition in terms of magnetic field, electric field, and wave gradient and heat energy. The proposed framework is further used to extract the intelligent information from above mentioned parameters and study the behavioural as well as physiological pattern changes in marine animals. The proposed method filters the messages, transformed by condition tagging which are further evaluated to generate Tsunami alert. The proposed framework is validated by the help of a case study to analyse the behavioural patterns observed in sea turtles when exposed to evident change in electro magnetic field intensity.
2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)