Self-recognition emergency communications for mobile handsets

Disasters in last decade have rapidly increased the research activities related to emergency communications. This paper presents a self-recognition model along with various attributes for mobile handsets to switch in emergency mode, without human interaction. A software based recognition module is introduced for the said purpose. This paper also discusses the implementation solutions based on: traditional cellular network features, cognitive radio using game theory and artificial neural networks. At the end of paper we present analysis considering the time taken for the identification of emergency situation and probability of false alarming of such situations.