As the trends towards decentralization, miniaturization, and longevity of deployment continue in many domains, power management has become increasingly important. In sensing and communication networks, power management has long been a part of the design paradigm. However, an underlying assumption in most of the existing work is that the performance of the sensing devices remains the same throughout their lifetime, which is not always true. Owing to the low quality of the constituent devices and the harshness of the environments in which they are deployed, the batteries of these devices start to deteriorate and their available power varies with time. These variations in available power impact the performance of these devices, which violates the assumption of constant performance and results in a mismatch between the assumed system model and the actual system. In this talk, I will focus on how to reduce this mismatch between the assumed and the actual system model and present feedback-scheduling controllers that can compensate for variations in available power and guarantee to maintain desired performance. I will also present an energy-efficient sensor-scheduling scheme that effectively utilizes the available energy resources and increases the lifetime of WSNs. For this work, I have combined tools from stochastic geometry and random geometric graphs to develop accurate models for spatial coverage processes for modeling random deployment of sensors, and these models are then used to design power-aware and energy-efficient scheduling schemes.
Hassan Jaleel received his M.S. and PhD degrees in Electrical and Computer Engineering from the Georgia Institute of Technology in Atlanta, Georgia, in 2010 and 2013 respectively. He received his B.S. degree in Electrical Engineering from the University of Engineering and Technology in Lahore, Pakistan, in 2007, where he also served as a Lecturer from 2007 to 2009. His research interests lies in the areas of control theory, multi-agent systems, stochastic geometry, and wireless sensor networks. In particular, he is interested in designing decentralized power-aware control strategies that can guarantee to maintain desired performance, and increase the lifetime of wireless sensor networks. He is also interested in developing energy-efficient mobility strategies that can achieve desired global objectives like connectivity maintenance, coverage control, and rendezvous, while minimizing total energy consumption. Jaleel has been a student member of IEEE since 2004 and a Fulbright scholar since 2009
