A Tool for Designing High-Confidence Implantable BioSensor
Networks for Medical Monitoring
Sandeep K. S. Gupta
IMPACT Lab (http://impact.asu.edu)
School of Computing and Informatics
Arizona State University
Abstract - In this work we describe a software tool for designing implantable biosensor network (BSN) applications.
BSNs are next generation medical monitoring systems, which provide continuous monitoring and actuation capabilities to
medical personnel. They usually form a wireless network on a subject’s body and can be controlled remotely. Before
deploying any mission critical systems, it is important to be able to evaluate their performnce in the appropriate settings,
and fine tune the design choices made. This is especially important for BSNs which are cyber-physical in nature – they
interact and influence their environment of deployment.
Toward this goal we present the development of a software tool which can be used by developers and medical personnel
to emulate an actual deployment of biosensor applications and evaluate its performance in different scenarios. We use
Architecture Analysis and Design Language (AADL) in order to implement our tool as it provides an easy to use interface
for specifying complex systems, and their environments. In this paper we discuss various aspects of developing such a
tool including prinicipal characteristics of BSNs that need to be considered by it along with its functional architecture. We
also provide an example scenario of how the tool can be used to evlauate a specific biosensor application.
Recent technological advances in the fields of MEMS, integrated circuits, and low power design have lead to
the development of implantable network of health monitoring sensors and devices. The RAND Corp. report on
future technologies [RAND] predicts that the first applications resulting from the synergistic efforts of various
disciplines will be out for public use by the year 2015. These Biosensor Networks (BSNs)