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Algorithms and frameworks towards sensing data in smart cities
Das, Uddipan
Das, Uddipan
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dissertation
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2020-05
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Abstract
The concept of smart cities (SCs) has been evolved in recent years in gaining signi cant
importance for intelligent development and sustainable socio-economic growth of cities. The
wide use of information and communication technologies (ICT) in di erent domains help
smart cities in making citizens' life easier and better. The inclusion of intelligence in all
infrastructure and citizen services ensures SC's sustainability and e ciency. This dissertation
focuses on some challenges, under the umbrella of smart cities conceptual framework, in
areas such as smart grids, info-mobility, people mobility, welfare and social inclusion, etc.
In particular, data management in advanced metering infrastructures (AMI) of smart grids
considering the requirements of quality-of-service (QoS) and the way nding of blind and
visually impaired (BVI) persons in outdoor space for smart living have been considered in
this dissertation work. This dissertation addresses the scenario of how to deal with huge data
volume challenges in smart grids AMI. This work proposes a novel approach, and also shows
its e ciency to manage AMI data tra c volume through data aggregation, that estimates the
expected network delays messages would su er and dynamically determines an aggregation
policy such that the electric utility gets the information in a more timely manner, albeit
at a lower data granularity. Moreover, the scenario of managing the trade o between QoS
and data volume reduction through a mathematical optimization framework to estimate
the level of data aggregation needed in a large multi-level data collection network of smart
grid AMI is also considered in this dissertation work. An intelligent approach containing
an optimization framework is proposed to manage AMI data tra c volume in multi-level
data collection trees that dynamically determines an aggregation policy to be applied at
forwarding nodes of the tree to reduce the network delays with which the electric utility can
get the necessary information. This dissertation also focuses on proposing a computer visionbased
image localization framework for accurately providing path advancement information
in an outdoor environment for way nding of BVI persons.
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Thesis (Ph.D.)-- Wichita State University, College of Engineering, Dept. of Electrical Engineering & Computer Science
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Wichita State University
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Copyright 2020 by Uddipan Das
All Rights Reserved