Access To Recreation Initiative
CAREER: Research on Real-Time Robust and Secure Communications for Vehicular Ad Hoc Networks
CPATH CDP: Integrating Sustainability Into Undergraduate Computing Education
CSR-EHS: Reliable Networking and Communications for Embedded Body Area Networks
Wireless Body Sensor Networks (BSNs) composed of a hybrid of implantable, ingestible and wearable sensors
have emerged as a new paradigm of digital healthcare for disease alert, drug distribution, and real-time
monitoring of hospitalized as well as non-hospitalized chronically-ill or aged patients. In parallel to advances
in biosensor technology and medical information fusion, the development of BSNs has illuminated major hurdles
in embedded communication and networking, which has to deal with formidable challenges including:
extremely stringent energy constraints imposed by in vivo sensors, very limited on-sensor computing capability,
and uniquely complex radio propagation body environments. The goal of this research project is to design, optimize and test embedded communication and networking techniques for wireless BSNs, in order to accomplish unprecedented energy efficiency, reliability and cost structure.
Framework and Architecture for the Coordination of Human and Robot Formations
Sensors: Scalable Coordination for Hybrid Sensor/Actuator Networks
A hybrid sensor/actuator network, which consists of a large number of static sensors and relatively small number of mobile robotic sensors, opens new frontiers in a variety of civilian and military applications and in some scientific disciplines. The combination of a wireless sensor network and a multi-robot system reduces the cost but significantly enhances each other's capability. The static wireless sensor network provides collaborative sensing, communication, coordination and navigation to a multi-robot system and human operators. The mobile robots augment sensor networks' capability by their mobility and advanced sensing, communication and computation capability.
The objective of this project is to address two challenging research issues in a hybrid sensor/actuator network: autonomous sensor/actuator coordination algorithms and self-configuring communication protocols. The specific goals of this research project include: (i) dynamic modeling and organization of hybrid sensor/actuator networks; (ii) sensor/actuator coordination algorithms to reallocate sensing, networking and computing resources to provide required coverage and specified sensing accuracy; (iii) self-configuring protocols to provide information for environmental sensing, communication, robot coordination and navigation; (iv) robot navigation algorithms in sensor networks; and (v) a perceptive reference frame for the analysis and design of the coordination algorithms and communication protocols.