Network Algorithms for Control and Communication for IoT Applications
Abstract
Internet of Things (IoT) technology is accelerating the integration of wireless communication
networks and physical systems, such as the emerging networked transportation
systems and industrial automation applications. By leveraging IoT, these
physical systems are envisioned to perform critical tasks more reliably and efficiently
based on the real-time control information provided by various types of sensors. To
achieve this vision, there are many fundamental challenges to be tackled in both theory
and implementation for control and communication of these physical systems.
Specifically, we study the design and implementation of network algorithms for the
following IoT applications:
_ We develop scheduling schemes for networked transportation systems. Different
from the conventional scheduling problem in computer networks, we consider
practical constraints of the physical systems, such as switch-over delay, estimation
errors, finite buffer sizes, and partially-connected systems and propose a
throughput-optimal scheduling policy.
_ We develop wireless network algorithms for collecting and disseminating critical
control information. We design distributed algorithms for real-time wireless
ad hoc networks. Moreover, we design scheduling algorithms for optimizing
Quality of Experience for video delivery applications by applying diffusion approximation.
_ We develop a low-latency wireless testbed for prototyping real-time wireless
scheduling policies as well as the proposed network algorithms.
Subject
Internet of ThingsWireless networks
Networked Transportation Systems
Scheduling algorithms
Software-defined wireless testbed
Citation
Hsieh, Ping-Chun (2018). Network Algorithms for Control and Communication for IoT Applications. Doctoral dissertation, Texas A & M University. Available electronically from https : / /hdl .handle .net /1969 .1 /173899.