Publication:
Social Internet of Things (SIoT) Localization for Smart Cities Traffic Applications

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dc.citedby6
dc.contributor.authorElnour R.A.M.en_US
dc.contributor.authorAli E.S.en_US
dc.contributor.authorYousif I.en_US
dc.contributor.authorSaeed R.A.en_US
dc.contributor.authorMokhtar R.A.en_US
dc.contributor.authorHayder G.en_US
dc.contributor.authorKhalifa O.O.en_US
dc.contributor.authorid59354093400en_US
dc.contributor.authorid57221716104en_US
dc.contributor.authorid58309786900en_US
dc.contributor.authorid16022855100en_US
dc.contributor.authorid16022551600en_US
dc.contributor.authorid56239664100en_US
dc.contributor.authorid9942198800en_US
dc.date.accessioned2024-10-14T03:20:54Z
dc.date.available2024-10-14T03:20:54Z
dc.date.issued2023
dc.description.abstractIn 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-031-26580-8_24
dc.identifier.epage166
dc.identifier.scopus2-s2.0-85161539363
dc.identifier.spage159
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85161539363&doi=10.1007%2f978-3-031-26580-8_24&partnerID=40&md5=ae575ec1aa09d0dbdc789f85a33bfa18
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34589
dc.pagecount7
dc.publisherSpringer Natureen_US
dc.sourceScopus
dc.sourcetitleAdvances in Science, Technology and Innovation
dc.subjectLocalization techniques
dc.subjectMachine learning (ML)
dc.subjectSocial IoT (SIoT)
dc.subjectSocial network system (SNS)
dc.titleSocial Internet of Things (SIoT) Localization for Smart Cities Traffic Applicationsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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