Dynamic scheduler - a pervasive healthcare system in smart hospitals using RFID

Resource allocation problem in a hospital is a major issue when emergency situations arise, not only because it potentially affects other processes within the hospital but also it involves life saving decisions. This paper presents a solution to this multiobjective dynamic scheduling problem using evolutionary algorithms. The proximity between the resources within the hospital is dynamically sensed by the ( radio frequency identification ) RFID system and rendered as input to the evolutionary algorithm. Our main aim is to minimize the patient waiting (idle) time, and the appointment slots for doctors should be rendered continuously. This can be done by optimally allocating doctors and appointment slots to the patients instead of following first come first serve technique. Thus it can be concluded that dynamic scheduling algorithm efficiently handles the resource allocation problem (RAP) by using evolutionary approach.