Balanced Clustering using Mobile Agents for the Ubiquitous Healthcare Systems
Romeo Mark A. Mateo, Michael Angelo G. Salvo, Jaewan Lee · 2008
The recent issues in healthcare systems are the mobility of the patients to do their normal work and at the same time monitored frequently by their physicians to be aware of the current condition of the patient. This research presents the ubiquitous and intelligent framework which is an efficient integration of software and hardware components of the ubiquitous healthcare system. The focus of our study is concerned about the senior citizens' mobility and monitoring their condition using mobile agents. The efficient migration of physician agents to the base station provides QoS of monitoring the patient for the ubiquitous healthcare system. This paper proposes a novel clustering method of balancing the load distribution of resources represented by the mobile agents within the base stations and is called balanced clustering. Our proposed balancing scheme efficiently distributes the physician agents to all base station considering the transmission delays to optimize the use of resources.