A Failure Detector for Ambient Assisted Living

Ambient Assisted Living (AAL) is a proposal to assist in the maintenance of the health and well-being of the elderly or people with special needs. To this end, intelligent devices are used to extend the autonomy of individuals in the execution of the simple daily activities as well as to remotely provide health and social services. However, a problem emerges, how is it possible to ensure, in this context, that the AAL system is not interpreting a misplaced situation of the ambient or the patient? In this sense, the present work aims to study the context of failure detector in asynchronous distributed systems with unknown membership in order to design and develop a failure detector for the AAL system. As a result, it was statistic verified, in the controlled experiment, the necessity to improve the existent algorithm to this purpose.