Intelligent information retrieval in a Tsunami detection system using wireless sensor networks

A Tsunami Detection System can be created using highly efficient Wireless Sensor Networks comprising a network of distributed sensors around water bodies. Tsunamis occur in coastal areas which can be detected by sensors that are deployed underwater. A Tsunami Detection System is used to detect tsunamis and spread warning messages to prevent loss of life and establishments. This paper presents a novel framework for implementing Intelligent Information Retrieval Technique in a Tsunami Detection System using Wireless Sensor Networks. This system generates intelligent data and spreads a warning message about the occurrence of tsunami. The proposed method uses SentiWordNet, a lexical resource explicitly used for opinion mining. This framework extracts intelligent information from the messages which are transmitted by first filtering the redundant text from them followed by stemming and stop words removal and then gathers all the opinion words and calculates their sentiment values using SentiWordNet. Thereafter polarity of the text is calculated and a warning message is conveyed. The proposed method is implemented for determining the magnitude of earthquakes, which is very essential to generate tsunami warnings.