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 related...

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Main Authors: Elnour R.A.M., Ali E.S., Yousif I., Saeed R.A., Mokhtar R.A., Hayder G., Khalifa O.O.
Other Authors: 59354093400
Format: Conference Paper
Published: Springer Nature 2024
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spelling my.uniten.dspace-345892024-10-14T11:20:54Z Social Internet of Things (SIoT) Localization for Smart Cities Traffic Applications Elnour R.A.M. Ali E.S. Yousif I. Saeed R.A. Mokhtar R.A. Hayder G. Khalifa O.O. 59354093400 57221716104 58309786900 16022855100 16022551600 56239664100 9942198800 Localization techniques Machine learning (ML) Social IoT (SIoT) Social network system (SNS) 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. � 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. Final 2024-10-14T03:20:54Z 2024-10-14T03:20:54Z 2023 Conference Paper 10.1007/978-3-031-26580-8_24 2-s2.0-85161539363 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161539363&doi=10.1007%2f978-3-031-26580-8_24&partnerID=40&md5=ae575ec1aa09d0dbdc789f85a33bfa18 https://irepository.uniten.edu.my/handle/123456789/34589 159 166 Springer Nature Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Localization techniques
Machine learning (ML)
Social IoT (SIoT)
Social network system (SNS)
spellingShingle Localization techniques
Machine learning (ML)
Social IoT (SIoT)
Social network system (SNS)
Elnour R.A.M.
Ali E.S.
Yousif I.
Saeed R.A.
Mokhtar R.A.
Hayder G.
Khalifa O.O.
Social Internet of Things (SIoT) Localization for Smart Cities Traffic Applications
description 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. � 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
author2 59354093400
author_facet 59354093400
Elnour R.A.M.
Ali E.S.
Yousif I.
Saeed R.A.
Mokhtar R.A.
Hayder G.
Khalifa O.O.
format Conference Paper
author Elnour R.A.M.
Ali E.S.
Yousif I.
Saeed R.A.
Mokhtar R.A.
Hayder G.
Khalifa O.O.
author_sort Elnour R.A.M.
title Social Internet of Things (SIoT) Localization for Smart Cities Traffic Applications
title_short Social Internet of Things (SIoT) Localization for Smart Cities Traffic Applications
title_full Social Internet of Things (SIoT) Localization for Smart Cities Traffic Applications
title_fullStr Social Internet of Things (SIoT) Localization for Smart Cities Traffic Applications
title_full_unstemmed Social Internet of Things (SIoT) Localization for Smart Cities Traffic Applications
title_sort social internet of things (siot) localization for smart cities traffic applications
publisher Springer Nature
publishDate 2024
_version_ 1814061186574974976
score 13.209306