Social Internet of Things (SIoT) localization for smart cities traffic applications
In recent years, many applications have appeared that use GPS systems extensively, especially in GPS data-based traffic monitoring systems for phones and smart vehicles as well. These systems help to provide information about movement, speed, geographical location, and some other information re...
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Main Authors: | , , , , , , |
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Format: | Proceeding Paper |
Language: | English English |
Published: |
Springer
2023
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Subjects: | |
Online Access: | http://irep.iium.edu.my/104625/1/104625_Social%20Internet%20of%20Things.pdf http://irep.iium.edu.my/104625/7/104625_%20Social%20Internet%20of%20Things%20%28SIoT%29%20Localization%20for%20Smart%20Cities%20Traffic%20Applications_SCOPUS.pdf http://irep.iium.edu.my/104625/ https://link.springer.com/chapter/10.1007/978-3-031-26580-8_24 |
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Summary: | In recent years, many applications have appeared that use
GPS systems extensively, especially in GPS data-based
traffic monitoring systems for phones and smart vehicles
as well. These systems help to provide information about
movement, speed, geographical location, and some other
information related to traffic. Currently, these systems
interact with social networks (SNS) on several platforms
to communicate between people to share different spatial
and temporal information on social networking platforms
such as Twitter, Facebook, WhatsApp, and Instagram.
These systems can also provide users with information
such as weather, traffic details, and several changes in
smart cities. Many statistics show that there is massive
activity in the use of social networks and benefit from
them as sources of many information and exploration for
some events related to places in real time. By analyzing
social communication data using the machine learning
technique (ML), the SNS can achieve the concept of the
social Internet of things (SIoT). The concept of localization is social networking platforms allow obtaining
location information for different objects through wireless
sensor networks for both indoor and outdoor environments. This paper presents an explanation of technical
details of localization in the social Internet of things
(SIoT) and some applications in which the concept of
localization is used. |
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