Graduate
Students:
Y. Xing (Ph.D.)
M. Haleem (Ph.D.)
C. Nanjunda (Ph.D.)
Q. Ge (Ph.D.)
A. Patel (Ph.D.)
P. Amin (Ph.D)
A. Ambalavanan (Ph.D.)
Karthik (M.S.)
F. Jiruwala (M.S)
Research:
Mobile
wireless networking is experiencing a tremendous rate of growth. Many traditional
wireline based applicationsare going wireless. Among other issues, one core
issue that needs to be addressed for the success of future mobilewireless
communications is energy-efficient wireless networking. Currently, the re-chargeable
battery energy capacityof most mobile devices is limited due to a variety
of reasons. It is also known that the rate at which battery technology isprogressing
is rather slow compared to the advances in wireless technology and applications.
Therefore, it is importantto optimize the networking algorithms, protocols
and parameters for energy efficiency. Especially, this may be essentialto
support next generation high speed wireless networking.In this project we
proposed use theory and simulations to investigate the following:
Energy-efficient
link and MAC layer protocols for time-varying wireless links. Stochastic
control of the trade-offbetween communication versus computation energy.
New probability
based MAC protocols that attempt toschedule users such that energy is
minimized
Stochastic
control algorithms that react to the bursty nature of traffic and link
errors.