Wi-Fi Availability Research Articles

IMPLEMENTASI MODEL PEMBELAJARAN KOOPERATIF TIPE POKEMON GO PADA MATA PELAJARAN IPS DI SMP NEGERI 9 MALANG

Abstract: This research is a qualitative descriptive study, data obtained through observations, interviews and documentation, this research was carried out because social studies learning was carried out during the day, making students feel less enthusiastic about participating in learning, so there is a need for more enjoyable learning so that students actively participate. social studies learning, this research aims to find out how to implement the Pokemon Go type cooperative learning model in social studies subjects at SMP Negeri 9 Malang, the results of this research show the steps for implementing the Pokemon Go type cooperative learning model in social studies subjects at SMP Negeri 9 Malang The planning stage contains preparations before implementing cooperative learning using the Pokemon Go type. In implementing the learning, there are several steps that are carried out, namely the preliminary stage, core and closing activities, and evaluation. Apart from that, there are inhibiting and supporting factors during the activities of implementing the Pokemon Go type cooperative learning model. The obstacles are signal problems, students who do not master the material, and some students who are less active, while the supporting factors are the ease of using devices, the availability of free WiFi and students who are enthusiastic about learning Pokemon Go, and solutions to overcome the problems of implementing the Type Cooperative Learning Model. Pokemon go in social studies subjects at SMP Negeri 9 Malang

Influence of Service Quality on Word of Mouth Mediated by Tourist Satisfaction at the Budo Tourism Village Homestay

In 2022, tourist visits to the Budo Tourism Village were recorded at 64.000 visitors. This figure exceeds the initial target of the village government and Village-Owned Enterprise Management. However, the large number of tourist visits to Budo Village did not increase the number of guests staying at Budo Village homestays. The limited marketing budget from the government and the village-owned enterprise (Bumdes) as managers makes WOM (word of mouth) as the main promotional strategy for homestay managers in the Budo Tourism Village. Another phenomenon encountered is dissatisfaction of guests who stay overnight due to the quality of service received. The above phenomena are related to the theories of service quality, tourist satisfaction, and word of mouth, and are then examined in more depth regarding the influence of service quality on word of mouth mediated by tourist satisfaction. This type of research is quantitative with data collection techniques using a questionnaire created in the form of a GoogleForm and distributed to 174 respondents who have stayed at nine homestays in the Budo Tourism Village. SEM PLS and SPSS analysis were employed to analyze the data. This research found that service quality has a positive and significant influence on tourist satisfaction and Word of Mouth (WOM). Tourist satisfaction has a positive and significant influence on Word of Mouth (WOM) and is also able to mediate the influence of Service Quality on Word of Mouth (WOM). Homestay managers are advised to concern to service quality, such as tidiness and cleanliness, as well as improving internet networks and the availability of free WiFi. Further research will explore the possibility of developing it not only in homestays but also in cafes, restaurants, and even diving centers.

Analysis of the need for digital history teaching materials for the merdeka curriculum in senior high schools

<p>Changing from the 2013 curriculum to a Merdeka curriculum means that learning tools, including teaching materials, must be adjusted to appropriate learning outcomes and objectives of history subject. This research aims to determine the need for media, content, and language teaching materials. This research uses a qualitative study with a descriptive approach. Primary data sources were obtained from informants, namely Malang teachers and high school students, and observations in the field. The stages of data analysis are data reduction, data display, conclusion, and verification. The results show that the need for teaching materials in terms of media, namely: availability of wifi in schools and student internet quota, preferred font types are Calibri and Arial, preferred colors are bright colors, all students have smartphones with medium-high specifications, and videos and images in teaching materials must be explicit. There is a need for teaching materials in terms of content. Namely, the curriculum used is the Merdeka curriculum. Students prefer independent study, and some questions stimulate students to think historically. There is a need for teaching materials in terms of language. Namely, the language used as an introduction is Indonesian, and the language used must be easy for students to understand.</p>

Biometric door lock system with automated fire detection alert

The reconciliation of biometric advancements and fire recognition components in shrewd homes is critical for access control and crisis readiness. The Blynk mobile app is used to access this project's biometric door lock and automated fire detection system. For access authorization, the biometric system uses cutting-edge fingerprint or facial recognition technology. The mechanized fire location framework screens the climate for potential fire dangers and triggers an alert when distinguished. The Blynk application gives controller and checking abilities, permitting inhabitants to lock or open the entryway, get ongoing warnings, and remotely screen the fire discovery framework's status. The microcontroller coordinates communications between the frameworks, outfitted with Wi-Fi availability. The Blynk application point of interaction is planned with easy-to-understand gadgets, permitting inhabitants to control and screen the coordinated frameworks. Safety efforts, for example, encoded correspondence conventions and secure stockpiling of biometric information, shield client protection. This all-encompassing approach to residential security ensures that their homes can effectively handle access control and emergencies, providing residents with security and peace of mind.

A Comparative Study of Digital City Development Using the Data-Driven Smart City Index

This research compares and contrasts the evolution of smart cities using a comparative analysis based on the Data-Driven Smart City Index. The study includes four important tables: the Digital City Development Index, which shows City D as a model smart city because of its high Infrastructure, Data Utilization, and Connectivity Scores, offers a thorough summary of the development of smart cities. The three components of the Data-Driven Smart City Index are Environmental Sustainability, Governance, and Quality of Life. City D excels in all three areas. The importance of big data analytics, IoT adoption, and open data usage—all of which City D leads—is emphasized in Data Utilization in Digital City Development. Lastly, Connectivity Infrastructure in Digital Cities emphasizes the significance of cutting-edge technology, with City D leading the way in terms of availability of public Wi-Fi, 5G network connectivity, and fiber broadband coverage. These results provide insightful information that will help stakeholders, politicians, and urban planners advance cities into the digital age and improve the quality of life for citizens.

Superapps as Enterprise-wide Applications & Services in E-governance: Cases for UAE

Title: The title of this paper is superapps Enterprise-wide applications & services in e-governance organizations. The research project will highlight the popularity of the super app and its importance in recent times. Purpose: The purpose of this is to understand the effectiveness of super app in the government sector and the ways it is utilised by the users. It also states the ways by which super app within the government firms can usefully accomplish a wider range of services. As a result of the implementation of super apps, government firms can present their services to a huge section of their target people. Therefore, the satisfaction rate of the customers of the services or the products enhances to a considerable rate. Problem: Along with benefits, super app also comprises of wide range of issues as it needs high-ended WIFI network services. However, such types of services are not available all times in the day and this creates an issue within the users. Moreover, the sites are sometimes hanged due to high user’s accessibility and this also creates a problem within the mind-set of the customers using the application. H0: Hypothesis: the use of super apps effectively contributes to e governance by accomplishing wider range of services and reach wider range of customers. H1: Super app services availability depends on serval factors which affects it such as WIFI availability and customer mindset Approach: Despite of the negative aspects, the super applications are widely accepted by the users and are also utilised effectively. This is because the users can reach wide range of activities with the super app. Therefore, the trust and reliability of the customers over these application increases day by day in the recent era. Analysis: It can be mentioned that super apps are extremely useful for the customers in achieving their services in a very short period of time.

Impact of Free Wi-Fi in Coffee Shops on Teenagers' Worship Practices: A Quantitative Study

This quantitative research examines the influence of free Wi-Fi availability in coffee shops on teenagers' worship practices. Utilizing observation and questionnaires, the study finds that a substantial percentage of teenagers frequently use Wi-Fi for various tasks, social media access, and gaming. Interestingly, this frequent Wi-Fi usage is also associated with increased rates of prayer and fasting. Statistical analysis reveals a significant effect of free Wi-Fi in coffee shops on teenagers' observance of worship, with a p-value of 0.002 and the calculated f-value surpassing the critical f-table value. These findings highlight the potential impact of technology accessibility on religious behaviors within the community environment. Highlights: Wi-Fi accessibility and Teenagers: Investigating the Influence in Coffee Shops. Significant Impact of Free Wi-Fi on Teenagers' Worship Practices. Observance of Worship in Coffee Shops: A Quantitative Analysis Keywords: Free Wi-Fi, Coffee shops, Teenagers, Worship practices

The development of students with disabilities’ experiences concerning distance learning in the Emirati Universities during the COVID-19 pandemic

This study investigates the developments in the experiences of students with disabilities during the COVID-19 pandemic, focusing on distance learning at three Emirati universities. It explores the students' experiences during the first semester of distance learning and analyses how these experiences evolved one year into the pandemic. The research adopts a qualitative approach, using semi-structured interviews to collect data from 21 participants, including 12 students with disabilities and 9 disability support staff. The study's findings highlight that during the initial months of online learning, the students encountered various technical challenges, such as difficulties with technology access, Wi-Fi availability, and lack of training in using assistive technologies. However, as the pandemic progressed, the students faced different challenges in the second year of online learning. These challenges included navigating online classes and exams, communication issues with instructors and peers, assignment difficulties, and feelings of social isolation. The results indicate significant developments in the students' experiences in the second year of distance learning compared to the first year.

Domain Adversarial Graph Convolutional Network Based on RSSI and Crowdsensing for Indoor Localization

In recent years, the use of WiFi fingerprints for indoor positioning has grown in popularity, largely due to the widespread availability of WiFi and the proliferation of mobile communication devices. However, many existing methods for constructing fingerprint datasets rely on labor-intensive and time-consuming processes of collecting large amounts of data. Additionally, these methods often focus on ideal laboratory environments, rather than considering the practical challenges of large multi-floor buildings. To address these issues, we present a novel WiDAGCN model that can be trained using a small number of labeled site survey data and large amounts of unlabeled crowdsensed WiFi fingerprints. By constructing heterogeneous graphs based on received signal strength indicators (RSSIs) between waypoints and WiFi access points (APs), our model is able to effectively capture the topological structure of the data. We also incorporate graph convolutional networks (GCNs) to extract graph-level embeddings, a feature that has been largely overlooked in previous WiFi indoor localization studies. To deal with the challenges of large amounts of unlabeled data and multiple data domains, we employ a semi-supervised domain adversarial training scheme to effectively utilize unlabeled data and align the data distributions across domains. Our system is evaluated using a public indoor localization dataset that includes multiple buildings, and the results show that it performs competitively in terms of localization accuracy in large buildings.

MA-STS-Based Social Intimacy Analysis Algorithm Using Real Campus Network Data

In recent years, the widespread availability of Wi-Fi in various settings, including universities, enterprises, and large shopping centers, has become increasingly prevalent. The user’s time and location information embedded in wireless network systems can reveal individual and group social relationships, which indirectly reflect each person’s psychological well-being. However, due to challenges in obtaining complete data, the high complexity of related data, and the absence of suitable data analysis models, few studies have analyzed student social behavior using data from university campus networks. This paper employs real-world data from a renowned Chinese university’s wireless campus network for in-depth analysis and introduces a novel multiangle semantic trajectory similarity (MA-STS) algorithm to infer the intimacy and relationship types (such as teacher-student, friends, classmates, or romantic partners) between users. The experiments demonstrate that the proposed algorithm achieves an accuracy of over 95%.

Urgensi Administrasi Kependudukan Desa Lau Tawar Kabupaten Dairi Perspektf UU No. 23 Tahun 2006

The problem in this research is how is the role of the Lau Tawar Village government in increasing awareness of the orderly population administration and civil registration in Lau Tawar Village, Tanah Pinem District, Dairi Regency. Because if you look at it, there are still many people in Lau Tawar Village who don't care about their population administration. Based on the Law of the Republic of Indonesia Number 23 of 2006 concerning the State Population Administration, it is obligated to provide protection and acknowledgment of the determination of personal status and legal status of every demographic and important event experienced by residents who are inside or outside the territory of the Republic of Indonesia.The purpose of this study is to analyze and describe how the role of the Lau Tawar Village government in increasing awareness of the orderly population administration and civil registration in Lau Tawar Village. and civil registration in Lau Tawar Village. The research method used by the researcher in this research is a sociological juridical approach. The data collection instruments used in this study consisted of interviews, observations, and documentation. The results of this study are the Lau Tawar Village government issued an appeal to the community, came directly to the house, provided a wifi network, printer and laptop. Factors supporting the orderly population administration are the availability of wifi at the village office and a mini library where data is stored. Inhibiting factors are human resources that are still lacking, lack of discipline in the village apparatus, low public awareness, and inadequate facilities.

DIGItal health literacy after COVID-19 outbreak among frail and non-frail cardiology patients: the DIGI-COVID study

Abstract Funding Acknowledgements Type of funding sources: None. Background The COVID-19 pandemic has highlighted the role of telemedicine in reducing face-to-face visits. Telemedicine requires either the use of digital support methods and a minimum technological knowledge of the patients. Digital health literacy, defined as the use of digital literacy skills to find and use health information and services, may influence the use of telemedicine in most patients, particularly in specific groups such as those with frailty. Aim To explore the association between frailty status, patients' use of digital tools and digital health literacy to determine whether it would be possible to implement control visits in patients followed in a cardiac arrhythmias outpatient clinic. Methods We prospectively enrolled consecutive patients referring to arrhythmias outpatient clinics of our department from March to September 2022. Patients were divided according to frailty status as defined by the Edmonton Frail Scale (EFS) into three subgroups: robust, pre-frail, and frail. The degree of health digital literacy was assessed through the Digital Health Literacy Instrument (DHLI) Scale. The DHLI explores 7 digital skill categories measured by 21 self-report questions. The self-report questions require participants to rate on a 4-point scale how difficult different tasks are and how frequently they encounter certain difficulties on the Internet. The total DHLI and each skill category score were calculated by summing the received scores in every single domain (3 questions per each skill category) and reported as mean and median. A multivariable logistic regression analysis was also use to evaluate the association between the non-use of the Internet and frailty status. Results A total of 300 patients were enrolled (36.3% females, median age 75 [66-84]) and stratified according to frailty status as: (i) Robust (EFS ≤ 5; n = 212, 70.7%), (ii) Pre-Frail (EFS 6-7; n = 47, 15.7%), and (iii) Frail (EFS ≥ 8; n = 41, 13.7%). Frail patients used less frequently smartphones, PC and emails and had less availability of Wi-Fi at home compared to robust patients (Table 1). At the multivariable logistic regression analysis, frailty was significantly associated with the non-use of the Internet (adjusted odds ratio, 2.58 95% confidence interval 1.92-5.61). Digital health literacy score decreased as the level of frailty increased in all the domains explored (operational skills, navigation skills, information searching, evaluating the reliability of the information, determining the relevance of online information, adding self-generated content and protecting privacy while using the internet, all p<0.001, Table 2). Conclusions Frail patients are characterized by a lower use of digital tools and access to the Internet even though these patients would benefit the most from telemedicine. Digital skills are strongly influenced by frail status highlighting the need to implement digital health literacy with specific interventions in this population.

Staff and Veteran Perspectives on Residential Treatment Programs' Responses to COVID-19: A Qualitative Study Guided by the WHO's After Action Review Framework.

Healthcare must rapidly and systematically learn from earlier COVID-19 responses to prepare for future crises. This is critical for VA's Mental Health Residential Rehabilitation and Treatment Programs (RRTPs), offering 24/7 care to Veterans for behavioral health and/or homelessness. We adapted the World Health Organization's After Action Review (AAR) to conduct semi-structured small-group discussions with staff from two RRTPs and Veterans who received RRTP care during COVID-19, to examine COVID-19's impact on these programs. Six thematic categories emerged through qualitative analysis (participant-checked and contextualized with additional input from program leadership), representing participants' recommendations including: Keep RRTPs open (especially when alternative programs are inaccessible), convey reasons for COVID-19 precautions and programming changes to Veterans, separate recovery-oriented programming from COVID-19-related information-sharing, ensure Wi-Fi availability for telehealth and communication, provide technology training during orientation, and establish safe procedures for off-site appointments. AAR is easily applicable for organizations to debrief and learn from past experiences.

XGBLoc: XGBoost-Based Indoor Localization in Multi-Building Multi-Floor Environments.

Location-based indoor applications with high quality of services require a reliable, accurate, and low-cost position prediction for target device(s). The widespread availability of WiFi received signal strength indicator (RSSI) makes it a suitable candidate for indoor localization. However, traditional WiFi RSSI fingerprinting schemes perform poorly due to dynamic indoor mobile channel conditions including multipath fading, non-line-of-sight path loss, and so forth. Recently, machine learning (ML) or deep learning (DL)-based fingerprinting schemes are often used as an alternative, overcoming such issues. This paper presents an extreme gradient boosting-based ML indoor localization scheme, simply termed as XGBLoc, that accurately classifies (or detects) the positions of mobile devices in multi-floor multi-building indoor environments. XGBLoc not only effectively reduces the RSSI dataset dimensionality but trains itself using structured synthetic labels (also termed as relational labels), rather than conventional independent labels, that classify such complex and hierarchical indoor environments well. We numerically evaluate the proposed scheme on the publicly available datasets and prove its superiority over existing ML or DL-based schemes in terms of classification and regression performance.

Personal radiofrequency electromagnetic field exposure of adolescents in the Greater London area in the SCAMP cohort and the association with restrictions on permitted use of mobile communication technologies at school and at home

Personal measurements of radiofrequency electromagnetic fields (RF-EMF) have been used in several studies to characterise personal exposure in daily life, but such data are limitedly available for adolescents, and not yet for the United Kingdom (UK). In this study, we aimed to characterise personal exposure to RF-EMF in adolescents and to study the association between exposure and rules applied at school and at home to restrict wireless communication use, likely implemented to reduce other effects of mobile technology (e.g. distraction).We measured exposure to RF-EMF for 16 common frequency bands (87.5 MHz–3.5 GHz), using portable measurement devices (ExpoM-RF), in a subsample of adolescents participating in the cohort Study of Cognition, Adolescents and Mobile Phones (SCAMP) from Greater London (UK) (n = 188). School and home rules were assessed by questionnaire and concerned the school's availability of WiFi and mobile phone policy, and parental restrictions on permitted mobile phone use. Adolescents recorded their activities in real time using a diary app on a study smartphone, while characterizing their personal RF-EMF exposure in daily life, during different activities and times of the day.Data analysis was done for 148 adolescents from 29 schools who recorded RF-EMF data for a median duration of 47 h. The majority (74%) of adolescents spent part of their time at school during the measurement period. Median total RF-EMF exposure was 40 μW/m2 at home, 94 μW/m2 at school, and 100 μW/m2 overall. In general, restrictions at school or at home made little difference for adolescents’ measured exposure to RF-EMF, except for uplink exposure from mobile phones while at school, which was found to be significantly lower for adolescents attending schools not permitting phone use at all, compared to adolescents attending schools allowing mobile phone use during breaks. This difference was not statistically significant for total personal exposure.Total exposure to RF-EMF in adolescents living in Greater London tended to be higher compared to exposure levels reported in other European countries. This study suggests that school policies and parental restrictions are not associated with a lower RF-EMF exposure in adolescents.

Perceptions of Medical Students on Distance Learning During the COVID-19 Pandemic: A Cross-Sectional Study from Bahrain

PurposeThe COVID-19 pandemic resulted in a sudden shift from face-to-face to distance learning. We explored medical students’ views of online learning during this pandemic at the Arabian Gulf University in Bahrain.MethodsThis was a cross-sectional study of students in years two, three and four (n= 559) using an electronic questionnaire. Data were collected from April 10 to May 5, 2021. The survey included three domains: behavioral, affective, and cognitive. We also analyzed the association between students’ perceptions and certain demographic and institutional factors.ResultsThe number of respondents was 311 (response rate: 55.6%; 27.7% males, 72.3% females). Participants were generally satisfied with distance learning (54.6%), although they had less motivation (46.3%) and required more effort (32.2%). Most students preferred distance learning for theoretical parts, and face-to-face approach for practical components (73.3%). Participants reported that distance learning, improved interaction with instructors and classmates (45.6% and 48.9%, respectively), small group learning (47.6%), independent learning (75.3%) and problem-solving skills (44.7%). The students were comfortable with online assessment (60.1%), and reported improved achievement in written (42.1%) and practical examinations (46%), but not in professional skills grades (21.6%). There was no association between students’ perceptions and gender (p= 0.079), year of study (p= 0.28) or attendance of live or recorded sessions (p= 0.904), but there was a positive association with the availability of WiFi (p< 0.01) and attendance of college-organized activities (p< 0.0001).ConclusionDistance learning was successfully implemented during the COVID-19 pandemic. Students were generally satisfied with distance learning and online assessment, but they had concerns about the clinical skills learning. After the pandemic is over, theoretical components of the curriculum can be delivered using distance learning, whereas hands on elements should be offered face-to-face. However, those curricular reforms will likely need investing in the information technology infrastructure.

Strategi Dosen Mengembangkan Media Pembelajaran Berbasis Teknologi Informasi Untuk Meningkatkan Keterampilan Berfikir Kritis Mahasiswa PAI IAIN Curup

The development of this increasingly advanced era requires educators to have new innovations in the use of Information Technology-based media in directing more interesting and conducive learning in the implementation of learning. The purpose of this study was to find out how the lecturer's strategy in developing information technology-based learning media to improve critical thinking skills of PAI IAIN Curup students. This study uses a qualitative approach, for data analysis using qualitative data analysis methods, the technique used is non-statistical data techniques. Data were collected from interviews, observations and documentation. This study found that the lecturer's strategy in developing information technology-based learning media to improve the critical thinking process of PAI IAIN Curup students was by independent learning, assignments, product creation and field research. In the use of IT learning media, the IT media used are computers or laptops, LCD projectors and then the use of applications such as Mindemaple, Mind Master, Kahoot, Canva, Videoscrabe, Mandele, Zotero, Spss, QR Code, Kinemaster, Flip PDF Professional. Supporting factors are the availability of wifi, available media applications that will be used. Then the factors that hinder the lack of student learning facilities.

IMPLEMENTASI PEMBELAJARAN SECARA DARING DI SEKOLAH DASAR ERA PANDEMI COVID-19

This study aims to describe the implementation of online learning, as well as identify the supporting factors and inhibiting factors for online learning in the era of the COVID-19 pandemic at SD Negeri Samirono. The research method is descriptive with a qualitative approach. The research subjects were principals, committees, schools, teachers, guardians of students and students. Data collection techniques are observation, interviews, and documentation. The data analysis technique uses the theory of Miles, Huberman Saldana. The validity of the data used triangulation of sources and techniques. The results of the study show 1) Implementation of online learning in the era of the covid-19 pandemic at SD Negeri Samirono, seen from the aspects of (a) Communication, verbally and in the media, (b) Human resources for all components involved in implementing policies in schools, financial resources from government assistance in the form of study quotas, resources for laptops and wi-fi availability in schools, (c) Disposition, ready and committed, (d) The bureaucratic structure adjusts to the school's organizational structure. 2) Supporting Factors (a) high teacher commitment (b) quota assistance, (c) adequate school infrastructure, (d) flexible online learning. 3) Inhibiting factors (a) Inadequate student infrastructure, (b) limited quota assistance, (c) students find it difficult to understand lessons, (d) students are late in submitting assignments, (e) lack of parental assistance.

Security Concerns for 5G/6G Mobile Network Technology and Quantum Communication

5G is the new generation of mobile communication that is taking over the 3G and 4G generations. As our generation has expanded and continues to work faster and more adapt to the electronics of today, we are faced with the ever-improving technologies to keep us moving forward. 5G has the possibility of faster upload and download speeds. The possibility of more and improved smart products to advance our lives, from autonomous cars, smart traffic lights, improved city Wi-Fi availability, and gaming improvements with no lag time, just to name a few. It is expected that 5G/6G will make it wide open for new frequency ranges which will result in many connections and huge data transfer maintaining high network efficiency. With 6G on the horizon, Quantum Computing and networking are playing a key role. We anticipate that Quantum Information Technologies will enable and support future 6G systems in both communication and computing. Quantum computing networks boast a few potential security and performance advantages compared to incumbent network technology. The security and energy efficiency of quantum networks is superior to present solutions because quantum networks can theoretically work with single photons whose quantum states remain undisclosed in transmission from origin to destination. Quantum computing networks and associated technology may begin to be implemented in 5G networks and could become fully implemented with the advent of 6G networking technology. In this work, we are focusing on the security risks that can be involved with the new 5G and their proposed solutions. We will study the role of Quantum Key Distribution as leverage to improve 6G security.

Li-Wi: An upper layer hybrid VLC-WiFi network handover solution

Visible light communications (VLC) as a wireless communication technology complementing the radio frequency-based wireless fidelity (WiFi). The hybrid VLC/WiFi, offers the best of both worlds, which are of particular interested in vehicular VLC (V-VLC) that have not yet been explored yet. In this paper, we propose an upper layer hybrid VLC-WiFi network handover solution known as “Li-Wi” to address the handover issues in V-VLC due to the mobility, shadowing, and obstacles. Li-Wi utilizes the benefits of high data rates and link availability of VLC and WiFi, respectively. It offers robust connectivity with lower handover outage duration (Thod) and a high network throughput. Based on experimental evaluation results using a small-scale prototype, we demonstrate the advantage of the proposed approach. Our experiments reveal that, in an indoor vehicular network Li-Wi is highly efficient in minimizing (Thod) to 0.03 and 0.06 s for horizontal and vertical handovers, respectively.