Optimal Resource Allocation for Pervasive Health Monitoring Systems With Body Sensor Networks
Pervasive health monitoring is an e-Health service, which plays an important role in prevention and early detection of diseases. There are two major challenges in pervasive health monitoring systems with Body Sensor Networks (BSNs). The first challenge is the sustainable power supply for BSNs. The second challenge is Quality of Service (QoS) guarantee for the delivery of data streams. In this paper, the authors optimize the resource allocations to provide a sustainable and high-quality service in health monitoring systems. Specifically, they formulate and solve two resource optimization problems, respectively. In the first optimization problem, steady-rate optimization problem, they optimize the source rate at each sensor to minimize the rate fluctuation with respect to the average sustainable rate, subject to the requirement of uninterrupted service.