Abstract

As Cyber-Physical Systems (CPS) evolve they will be
increasingly relied on supporting time-critical monitoring
and control activities. Further, many CPSs that utilize Wireless
Sensor Networking (WSN) technologies will require the
use of energy harvesting methods to extend their lifetimes.
For this application class, there are currently no effective
approaches that balance system lifetime with system performance
under both normal and abnormal (emergency)
situations. To address this problem, we define a general
purpose WSN architecture to support a time-critical CPS
system. We then present a set of Harvesting Aware Speed
Selection (HASS) algorithms. We use an epoch-based architecture
to dynamically adjust radio modulation levels and
CPU processing frequencies so that application's end-to-end
deadlines are met. Our technique maximizes the minimum
energy reserve level for all the nodes in the network, thus
ensuring highly resilient performance under emergency or
fault-driven situations. We present an optimal centralized
algorithm along with a fully distributed solution. Through
simulations, we have extensively evaluated our centralized
and distributed algorithms against a baseline scheme. Our
results show that our algorithms yield significantly higher
energy reserve levels than the baseline approach, under both
normal and emergency situations.


Speaker Bio

Bo Zhang is a Ph.D. student in Computer Science Department of George
Mason Univesity. His research interests incude Wireless Sensor Networks,
Real-Time Embedded Systems and Low-Power Computing. Before pursuing 
his Ph.D. degree, he received  M.S. degree from University of Cincinnati, 
and B.S. degree from Huazhong University of Science and Technology.