IoT Data Processing for Smart City and Semantic Web Applications
- URL: http://arxiv.org/abs/2306.16728v1
- Date: Thu, 29 Jun 2023 07:11:05 GMT
- Title: IoT Data Processing for Smart City and Semantic Web Applications
- Authors: Shubham Mante
- Abstract summary: The world has been experiencing rapid urbanization over the last few decades, putting a strain on existing city infrastructure.
We are also seeing increasing pollution levels in cities threatening the environment, natural resources and health conditions.
It is imperative to limit the ill effects of rapid urbanization through integrated action plans to enable the development of growing cities.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: The world has been experiencing rapid urbanization over the last few decades,
putting a strain on existing city infrastructure such as waste management,
water supply management, public transport and electricity consumption. We are
also seeing increasing pollution levels in cities threatening the environment,
natural resources and health conditions. However, we must realize that the real
growth lies in urbanization as it provides many opportunities to individuals
for better employment, healthcare and better education. However, it is
imperative to limit the ill effects of rapid urbanization through integrated
action plans to enable the development of growing cities. This gave rise to the
concept of a smart city in which all available information associated with a
city will be utilized systematically for better city management.
The proposed system architecture is divided in subsystems and is discussed in
individual chapters. The first chapter introduces and gives overview to the
reader of the complete system architecture. The second chapter discusses the
data monitoring system and data lake system based on the oneM2M standards. DMS
employs oneM2M as a middleware layer to achieve interoperability, and DLS uses
a multi-tenant architecture with multiple logical databases, enabling efficient
and reliable data management. The third chapter discusses energy monitoring and
electric vehicle charging systems developed to illustrate the applicability of
the oneM2M standards. The fourth chapter discusses the Data Exchange System
based on the Indian Urban Data Exchange framework. DES uses IUDX standard data
schema and open APIs to avoid data silos and enable secure data sharing. The
fifth chapter discusses the 5D-IoT framework that provides uniform data quality
assessment of sensor data with meaningful data descriptions.
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