Pub Date : 2023-09-20DOI: 10.3991/ijim.v17i18.41753
Aseel O. Ajlouni, Fatima Abd-Alkareem Wahba, Abdallah Salem Almahaireh
This research aims to examine students’ attitudes toward using ChatGPT as a learning tool using a quantitative approach with a descriptive study design. For data collection, researchers have developed attitude measures that utilize the ABC model, which encompasses three components of attitudes (affective, cognitive, and behavioral). The study was conducted among a random sample of 623 undergraduates who enrolled at the University of Jordan, consisting of 476 females and 147 males. The results of the descriptive statistics indicate that there is a high level of positive attitude toward utilizing ChatGPT as a learning tool. Furthermore, the findings confirm moderate affective and high behavioral and cognitive components of attitudes toward using ChatGPT as a learning tool among undergraduate students. A proportion of respondents (73.2%) agreed on the potential ability of ChatGPT to facilitate the learning process. In comparison, 20.7% of the study participants raised apprehensions regarding the precision of the data produced by ChatGPT, while an equivalent percentage (20.7%) reported feeling uncomfortable utilizing the platform; conversely, 14.6% of those surveyed acknowledged experiencing anxiety when unable to access ChatGPT’s services. The results of this study encourage decision-makers and educators at the University of Jordan to incorporate ChatGPT into curricula and instructional practices, considering student concerns and the risk of misuse.
{"title":"Students’ Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan","authors":"Aseel O. Ajlouni, Fatima Abd-Alkareem Wahba, Abdallah Salem Almahaireh","doi":"10.3991/ijim.v17i18.41753","DOIUrl":"https://doi.org/10.3991/ijim.v17i18.41753","url":null,"abstract":"This research aims to examine students’ attitudes toward using ChatGPT as a learning tool using a quantitative approach with a descriptive study design. For data collection, researchers have developed attitude measures that utilize the ABC model, which encompasses three components of attitudes (affective, cognitive, and behavioral). The study was conducted among a random sample of 623 undergraduates who enrolled at the University of Jordan, consisting of 476 females and 147 males. The results of the descriptive statistics indicate that there is a high level of positive attitude toward utilizing ChatGPT as a learning tool. Furthermore, the findings confirm moderate affective and high behavioral and cognitive components of attitudes toward using ChatGPT as a learning tool among undergraduate students. A proportion of respondents (73.2%) agreed on the potential ability of ChatGPT to facilitate the learning process. In comparison, 20.7% of the study participants raised apprehensions regarding the precision of the data produced by ChatGPT, while an equivalent percentage (20.7%) reported feeling uncomfortable utilizing the platform; conversely, 14.6% of those surveyed acknowledged experiencing anxiety when unable to access ChatGPT’s services. The results of this study encourage decision-makers and educators at the University of Jordan to incorporate ChatGPT into curricula and instructional practices, considering student concerns and the risk of misuse.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"343 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136262993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The important role of visual representations in supporting students’ learning of geometry concepts and their reasoning is well established. GeoGebra is dynamic and interactive software that can assist students in exploring mathematical concepts effectively. This research aims to examine the effectiveness of GeoGebra in enhancing eighth-grade students’ mathematical reasoning on the topic of linear equations. The study used a quantitative approach with a non-equivalent control group design by applying GeoGebra. Data were obtained through interviews and a mathematical reasoning ability test. The interviews were analyzed descriptively, and the reasoning test was analyzed using dependent t-tests. The findings revealed that GeoGebra significantly helps students’ to have a better understanding of linear equation properties, such as the gradient of parallel, coincident, perpendicular, and intersecting lines. The mathematical reasoning test revealed that learning with GeoGebra can improve students’ mathematical reasoning skills, specifically in linear equations. Teachers are encouraged to incorporate GeoGebra, as its visualization function enables students to explore linear equation properties.
{"title":"Enhancing Junior High School Students’ Reasoning of Linear Equations Using GeoGebra Software","authors":"None Yerizon, None Arnellis, Fridgo Tasman, Wanty Widjaja","doi":"10.3991/ijim.v17i18.41441","DOIUrl":"https://doi.org/10.3991/ijim.v17i18.41441","url":null,"abstract":"The important role of visual representations in supporting students’ learning of geometry concepts and their reasoning is well established. GeoGebra is dynamic and interactive software that can assist students in exploring mathematical concepts effectively. This research aims to examine the effectiveness of GeoGebra in enhancing eighth-grade students’ mathematical reasoning on the topic of linear equations. The study used a quantitative approach with a non-equivalent control group design by applying GeoGebra. Data were obtained through interviews and a mathematical reasoning ability test. The interviews were analyzed descriptively, and the reasoning test was analyzed using dependent t-tests. The findings revealed that GeoGebra significantly helps students’ to have a better understanding of linear equation properties, such as the gradient of parallel, coincident, perpendicular, and intersecting lines. The mathematical reasoning test revealed that learning with GeoGebra can improve students’ mathematical reasoning skills, specifically in linear equations. Teachers are encouraged to incorporate GeoGebra, as its visualization function enables students to explore linear equation properties.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136308162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-20DOI: 10.3991/ijim.v17i18.41823
Fachrul Kurniawan, Dian Permana Putra, Jehad Hammad, Anton Satria Prabuwono
Acquiring knowledge of the patterns of human mobility within a university setting is a critical endeavor that can facilitate the development of effective strategies for future work programs. It is essential to ascertain the positions of campus inhabitants as they engage in daily activities that align with the institution’s work plan framework. Nonetheless, the paramount challenge associated with the presence of personal data on human movement is ensuring the utmost security of this sensitive information. Blockchain technology offers a solution by enabling the safeguarding of personal data through the decentralization of information, wherein individuals act as controllers in a distributed cloud network. In the present study, a straightforward system comprising GPS sensors and a Raspberry Pi is employed to detect personnel’s location data. The SHA256 algorithm is utilized to generate a hash that connects the constituent blocks, thereby significantly enhancing data security. The intricate hash computation is validated through the implementation of proof-of-work, which generates pertinent binary data at an expeditious block mining time of 16.64 milliseconds. This approach effectively thwarts cyberattacks and ensures the maximum protection of data.
{"title":"Blockchain-Secure Mobility Data in Smart Campus","authors":"Fachrul Kurniawan, Dian Permana Putra, Jehad Hammad, Anton Satria Prabuwono","doi":"10.3991/ijim.v17i18.41823","DOIUrl":"https://doi.org/10.3991/ijim.v17i18.41823","url":null,"abstract":"Acquiring knowledge of the patterns of human mobility within a university setting is a critical endeavor that can facilitate the development of effective strategies for future work programs. It is essential to ascertain the positions of campus inhabitants as they engage in daily activities that align with the institution’s work plan framework. Nonetheless, the paramount challenge associated with the presence of personal data on human movement is ensuring the utmost security of this sensitive information. Blockchain technology offers a solution by enabling the safeguarding of personal data through the decentralization of information, wherein individuals act as controllers in a distributed cloud network. In the present study, a straightforward system comprising GPS sensors and a Raspberry Pi is employed to detect personnel’s location data. The SHA256 algorithm is utilized to generate a hash that connects the constituent blocks, thereby significantly enhancing data security. The intricate hash computation is validated through the implementation of proof-of-work, which generates pertinent binary data at an expeditious block mining time of 16.64 milliseconds. This approach effectively thwarts cyberattacks and ensures the maximum protection of data.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136308862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-20DOI: 10.3991/ijim.v17i18.42917
None Maisarah Hamizan, None Noor Hidayah Abu, None Mohd Fitri Mansor, None Mohd Azian Zaidi
Companies make use of various strategies in order to attract new customers, retain existing customers, and differentiate their products from those of their competitors. Apple Inc. is a multinational technology company headquartered in Cupertino, California. The company specializes in consumer devices, software, and online services. Apple is the most valuable firm in the world, the fourth-largest vendor of personal computers by unit sales, and the second-largest producer of mobile phones as of May 2022. The iPhone is a product with a strong reputation. Apple has always maintained product quality and continuously made innovations. The iPhone has a unique design, and in view of that, the model is too expensive compared to other mobile phones. Although the price is expensive, demand for the iPhone still increases from time to time. The aim of this research is to understand the factors behind iPhone purchase decisions. An investigation has been conducted to evaluate the relationship between price and quality on customer buying patterns for an iPhone. This study will adopt quantitative methods, and data collection has been conducted through online questionnaire distribution. The target respondents in this study are STML students, and the overall population of STML was 1645 students; thus, the sample size for the study should be 310 respondents. The cluster sampling technique has been used in this study. In this study, a total of 340 respondents were received, and there are 27 missing values in the data set. However, only 313 respondents are valid for the data analysis. Findings revealed that price and quality have a significant effect on the buying pattern of an iPhone. Lastly, this study discusses the limitations of the study and its conclusion.
{"title":"An Analysis of the Effect of Price and Quality on Customer Buying Patterns: An Empirical Study of iPhone Buyers","authors":"None Maisarah Hamizan, None Noor Hidayah Abu, None Mohd Fitri Mansor, None Mohd Azian Zaidi","doi":"10.3991/ijim.v17i18.42917","DOIUrl":"https://doi.org/10.3991/ijim.v17i18.42917","url":null,"abstract":"Companies make use of various strategies in order to attract new customers, retain existing customers, and differentiate their products from those of their competitors. Apple Inc. is a multinational technology company headquartered in Cupertino, California. The company specializes in consumer devices, software, and online services. Apple is the most valuable firm in the world, the fourth-largest vendor of personal computers by unit sales, and the second-largest producer of mobile phones as of May 2022. The iPhone is a product with a strong reputation. Apple has always maintained product quality and continuously made innovations. The iPhone has a unique design, and in view of that, the model is too expensive compared to other mobile phones. Although the price is expensive, demand for the iPhone still increases from time to time. The aim of this research is to understand the factors behind iPhone purchase decisions. An investigation has been conducted to evaluate the relationship between price and quality on customer buying patterns for an iPhone. This study will adopt quantitative methods, and data collection has been conducted through online questionnaire distribution. The target respondents in this study are STML students, and the overall population of STML was 1645 students; thus, the sample size for the study should be 310 respondents. The cluster sampling technique has been used in this study. In this study, a total of 340 respondents were received, and there are 27 missing values in the data set. However, only 313 respondents are valid for the data analysis. Findings revealed that price and quality have a significant effect on the buying pattern of an iPhone. Lastly, this study discusses the limitations of the study and its conclusion.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136313279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-20DOI: 10.3991/ijim.v17i18.41603
Norharyati Binti Harum, Nurul Afifah Ahmad Mahin, Erman Hamid, Nurul A. Emran, Syarulnaziah Anawar, Ani Liza Asnawi
This paper presents the development and implementation of an innovative Internet of Things (IoT)-based RFID attendance system integrated with a module focused on curbing the spread of contagious diseases in densely populated settings, such as schools and workplaces. Recognizing the limitations of existing radio frequency identification (RFID) attendance systems, an extensive analysis of prior works was conducted to identify crucial functionalities necessary for an effective solution. Leveraging the IoT paradigm, we devised a 3-layer architecture encompassing thermometer sensors, RFID technology, Arduino microcontrollers, Wi-Fi connectivity, and the message queuing telemetry transport (MQTT) protocol to facilitate seamless data transmission and storage. The resulting prototype enables real-time monitoring of feverish symptoms, serving as an early warning system for potential contagious illnesses while streamlining attendance management. Data collected from the IoT devices is securely stored in a centralized database and accessed through an intuitive information system embedded within the IoT application. Users can effortlessly view and manage attendance data, while administrators gain access to health-related metrics, enabling timely responses to health concerns. User evaluations of the developed system resulted in an outstanding “A” rating, validating its reliability, functionality, and user satisfaction. Future improvements involve real-world testing, scalability assurance, integration with health authorities for comprehensive data management, and automated alerts for potential disease outbreaks.
{"title":"RFID Attendance System with Contagious Disease Prevention Module using Internet-of-Things Technology","authors":"Norharyati Binti Harum, Nurul Afifah Ahmad Mahin, Erman Hamid, Nurul A. Emran, Syarulnaziah Anawar, Ani Liza Asnawi","doi":"10.3991/ijim.v17i18.41603","DOIUrl":"https://doi.org/10.3991/ijim.v17i18.41603","url":null,"abstract":"This paper presents the development and implementation of an innovative Internet of Things (IoT)-based RFID attendance system integrated with a module focused on curbing the spread of contagious diseases in densely populated settings, such as schools and workplaces. Recognizing the limitations of existing radio frequency identification (RFID) attendance systems, an extensive analysis of prior works was conducted to identify crucial functionalities necessary for an effective solution. Leveraging the IoT paradigm, we devised a 3-layer architecture encompassing thermometer sensors, RFID technology, Arduino microcontrollers, Wi-Fi connectivity, and the message queuing telemetry transport (MQTT) protocol to facilitate seamless data transmission and storage. The resulting prototype enables real-time monitoring of feverish symptoms, serving as an early warning system for potential contagious illnesses while streamlining attendance management. Data collected from the IoT devices is securely stored in a centralized database and accessed through an intuitive information system embedded within the IoT application. Users can effortlessly view and manage attendance data, while administrators gain access to health-related metrics, enabling timely responses to health concerns. User evaluations of the developed system resulted in an outstanding “A” rating, validating its reliability, functionality, and user satisfaction. Future improvements involve real-world testing, scalability assurance, integration with health authorities for comprehensive data management, and automated alerts for potential disease outbreaks.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136308347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-20DOI: 10.3991/ijim.v17i18.41265
Kittichai Rajchamaha, Davids Makararpong
Data from information technology has been crucial in advancing the agricultural and livestock industries, especially for Thai dairy farms located in tropical regions where sudden weather changes can occur. This study uses the technology acceptance model (TAM) and the innovation diffusion theory (IDT) to predict the Thai dairy farmers’ intention to use a high-precision area-level weather warning technology through a mobile phone application. A questionnaire was collected from dairy farm owners in Thailand’s central and northeastern regions, and the data was analyzed using stepwise multiple linear regression. The main factor influencing the acceptance of this technology was its compatibility with existing technology, and it needed to be available on mobile phones for instant access. The role of technology had to provide dairy farmers with information for decision-making, especially during extreme weather conditions, to mitigate potential damage. Training sessions and workshops on the implementation of this technology were necessary, and young farmers could share content on social media to promote its benefits. Service providers should set up call centers to help dairy farmers make decisions. This study identifies factors that can increase farmers’ intentions to use digital technology. By addressing these factors, the adoption of technology can improve the efficiency and productivity of dairy farming in Thailand.
{"title":"Dairy Farmers’ Intention to Use High-Precision Area-Level Weather Warning Technology in Dairy Farms in Thailand Through an Application on Mobile Phones","authors":"Kittichai Rajchamaha, Davids Makararpong","doi":"10.3991/ijim.v17i18.41265","DOIUrl":"https://doi.org/10.3991/ijim.v17i18.41265","url":null,"abstract":"Data from information technology has been crucial in advancing the agricultural and livestock industries, especially for Thai dairy farms located in tropical regions where sudden weather changes can occur. This study uses the technology acceptance model (TAM) and the innovation diffusion theory (IDT) to predict the Thai dairy farmers’ intention to use a high-precision area-level weather warning technology through a mobile phone application. A questionnaire was collected from dairy farm owners in Thailand’s central and northeastern regions, and the data was analyzed using stepwise multiple linear regression. The main factor influencing the acceptance of this technology was its compatibility with existing technology, and it needed to be available on mobile phones for instant access. The role of technology had to provide dairy farmers with information for decision-making, especially during extreme weather conditions, to mitigate potential damage. Training sessions and workshops on the implementation of this technology were necessary, and young farmers could share content on social media to promote its benefits. Service providers should set up call centers to help dairy farmers make decisions. This study identifies factors that can increase farmers’ intentions to use digital technology. By addressing these factors, the adoption of technology can improve the efficiency and productivity of dairy farming in Thailand.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136312810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-20DOI: 10.3991/ijim.v17i18.42437
Antonios I. Christou, Stella Tsermentseli, Athanasios Drigas
Environmental sensitivity, which refers to the capacity to recognize and react to environmental stimuli, has been linked to increased levels of metacognition, which is the capacity to learn about one’s own learning processes. Sensory processing sensitivity (SPS) is a characteristic that can make people more sensitive to the stimuli and settings in their surroundings. Regarding the development of mobile game-based educational procedures, the study of the neurocognitive bases of the mechanisms underlying them, such as metacognition and environmental factors, could play a crucial role in the implementation of these educational practices. The purpose of the current narrative review is to identify the key mechanisms by which mobile games affect young learners’ metacognitive and environmental sensitivity profiles and to suggest future research directions on the specific selection of gamification-based educational interventions.
{"title":"The Role of Mobile Games and Environmental Factors in Improving Learning and Metacognitive Potential of Young Students","authors":"Antonios I. Christou, Stella Tsermentseli, Athanasios Drigas","doi":"10.3991/ijim.v17i18.42437","DOIUrl":"https://doi.org/10.3991/ijim.v17i18.42437","url":null,"abstract":"Environmental sensitivity, which refers to the capacity to recognize and react to environmental stimuli, has been linked to increased levels of metacognition, which is the capacity to learn about one’s own learning processes. Sensory processing sensitivity (SPS) is a characteristic that can make people more sensitive to the stimuli and settings in their surroundings. Regarding the development of mobile game-based educational procedures, the study of the neurocognitive bases of the mechanisms underlying them, such as metacognition and environmental factors, could play a crucial role in the implementation of these educational practices. The purpose of the current narrative review is to identify the key mechanisms by which mobile games affect young learners’ metacognitive and environmental sensitivity profiles and to suggest future research directions on the specific selection of gamification-based educational interventions.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136312825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-20DOI: 10.3991/ijim.v17i18.42915
None T. K. Sivakumar, None Saurabh Dhyani, None S.V. Manikanthan, None Vishnu Kumar Kaliappan, None K. Baskaran, Kakarla Hari Kishore
Mobile wireless sensor networks (MWSNs) have been a hot topic of research, and numerous routing methods have been developed to increase energy efficiency and extend longevity. Nodes close to the sink often use more energy to transmit data from their neighbors to the sink, which causes them to run out of energy faster. These places are also referred to as rendezvous points, and choosing the best one is a hard task. The likelihood of choosing an ideal node as the rendezvous point will be extremely low because hierarchical algorithms only use their local information to select these places. The warm spot problem is addressed from four angles in this work using the Enhanced Power-Efficient Gathering in Sensor Information Systems (EPEGASIS) technique. In order to limit the amount of energy used during transmission, the ideal communication distance is first calculated. To balance the energy consumption among the nodes, mobile sink technology is employed once a threshold value is set to safeguard the dying nodes. The node can then modify its communication range based on how far away the sink node is from it. Thorough testing has been done to demonstrate that our suggested EPEGASIS works better in terms of longevity, drive usage, and web latency.
{"title":"Cluster-Factors of Mobile Sensor Network Technology for Security Enhanced PEGASIS","authors":"None T. K. Sivakumar, None Saurabh Dhyani, None S.V. Manikanthan, None Vishnu Kumar Kaliappan, None K. Baskaran, Kakarla Hari Kishore","doi":"10.3991/ijim.v17i18.42915","DOIUrl":"https://doi.org/10.3991/ijim.v17i18.42915","url":null,"abstract":"Mobile wireless sensor networks (MWSNs) have been a hot topic of research, and numerous routing methods have been developed to increase energy efficiency and extend longevity. Nodes close to the sink often use more energy to transmit data from their neighbors to the sink, which causes them to run out of energy faster. These places are also referred to as rendezvous points, and choosing the best one is a hard task. The likelihood of choosing an ideal node as the rendezvous point will be extremely low because hierarchical algorithms only use their local information to select these places. The warm spot problem is addressed from four angles in this work using the Enhanced Power-Efficient Gathering in Sensor Information Systems (EPEGASIS) technique. In order to limit the amount of energy used during transmission, the ideal communication distance is first calculated. To balance the energy consumption among the nodes, mobile sink technology is employed once a threshold value is set to safeguard the dying nodes. The node can then modify its communication range based on how far away the sink node is from it. Thorough testing has been done to demonstrate that our suggested EPEGASIS works better in terms of longevity, drive usage, and web latency.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136308857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-20DOI: 10.3991/ijim.v17i18.42121
Anas Abu Taleb, Qasem Abu Al-Haija, Ammar Odeh
Wireless sensor networks (WSNs), deployed in the area of interest to gather data unattended, comprise numerous tiny, ponderous, and battery-operated sensor nodes (SNs). Numerous research publications presented strategies for extending the lifespan and performance of wireless sensor networks because SNs lifetime depends on limited battery life. One strategy for enhancing the performance of wireless sensor networks is to deploy an energy-rich sink capable of mobility to gather data sensed by stationary SNs. Therefore, several mobility models (MMs) were suggested. The primary objective of this investigation is to compare the effectiveness of wireless sensor networks using two MMs for mobile sinks (MSs): Kohonen’s self-organizing map-based model and the genetic algorithm-based model, in order to find the most suitable conditions under which each one of them can be used. As a result, network performance is investigated using the NS-2 simulator under various scenarios and MS speeds. Additionally, throughput, packet delivery ratio (PDR), and end-to-end (E2E) delay are the metrics used to analyze performance. Finally, messages are forwarded from their sources to the MS using the AODV routing protocol. The results show that the Kohonen-based model is suitable for small networks with moderate speeds of the mobile sink. On the other hand, the genetic algorithm-based model is suitable to be used with medium-sized networks with low speeds of the mobile sink.
{"title":"Performance Analysis of Sink Mobility Models for Wireless Sensor Networks: A Comparative Study","authors":"Anas Abu Taleb, Qasem Abu Al-Haija, Ammar Odeh","doi":"10.3991/ijim.v17i18.42121","DOIUrl":"https://doi.org/10.3991/ijim.v17i18.42121","url":null,"abstract":"Wireless sensor networks (WSNs), deployed in the area of interest to gather data unattended, comprise numerous tiny, ponderous, and battery-operated sensor nodes (SNs). Numerous research publications presented strategies for extending the lifespan and performance of wireless sensor networks because SNs lifetime depends on limited battery life. One strategy for enhancing the performance of wireless sensor networks is to deploy an energy-rich sink capable of mobility to gather data sensed by stationary SNs. Therefore, several mobility models (MMs) were suggested. The primary objective of this investigation is to compare the effectiveness of wireless sensor networks using two MMs for mobile sinks (MSs): Kohonen’s self-organizing map-based model and the genetic algorithm-based model, in order to find the most suitable conditions under which each one of them can be used. As a result, network performance is investigated using the NS-2 simulator under various scenarios and MS speeds. Additionally, throughput, packet delivery ratio (PDR), and end-to-end (E2E) delay are the metrics used to analyze performance. Finally, messages are forwarded from their sources to the MS using the AODV routing protocol. The results show that the Kohonen-based model is suitable for small networks with moderate speeds of the mobile sink. On the other hand, the genetic algorithm-based model is suitable to be used with medium-sized networks with low speeds of the mobile sink.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136312822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-20DOI: 10.3991/ijim.v17i18.42161
Agariadne Dwinggo Samala, Ljubisa Bojic, Diego Vergara-Rodríguez, Blanka Klimova, Fadhli Ranuharja
This study explores how gamification in DOTA 2 cultivates 21st-century skills (problem-solving, teamwork, communication, and critical thinking). It supports DOTA 2 as an immersive platform for skill development. The study investigated various sources, including player surveys, meticulous gameplay analysis, academic research reviews, and expert opinions. By synthesizing this evidence, the study sheds light on DOTA 2’s potential to hone and refine abilities. Player surveys revealed individuals’ acquisition of adaptability in dynamic situations, cultivation of strategic thinking abilities, and enhancement of effective team collaboration skills. An in-depth examination of gameplay unveiled discernible patterns of collaborative effort and cognitive processes aimed at resolving challenges resembling real-world situations. Existing scholarly literature substantiates these findings and highlights gaming’s role in developing 21st-century competencies. The study emphasizes the potential implications of its results for stakeholders, such as educators, policymakers, and game developers, offering valuable opportunities for the practical application of gamification strategies. It sparks further investigation and exploration of unexplored research avenues. This study contributes to the growing body of literature recognizing gaming’s substantial advantages in fostering crucial 21st-century skills.
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