Management of Intelligent Campus Wireless Sensor Networks Based on Runtime Model

Zhang, Ping; Wang, Jianzhong

doi:10.4236/jcc.2015.37003

Cited by 8 publications

(5 citation statements)

References 15 publications

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“…It is suggested to use a runtime model to manage wireless sensor networks on campuses that are intelligent. When compared to the conventional approach, this strategy is more successful at controlling campus facilities and uses 16.7% less energy [30]. The underutilization of classrooms on a genuine university campus, which results from a discrepancy between enrolment and attendance, is addressed in this work.…”

Section: Iotmentioning

confidence: 99%

“…CampusTalk, a collection of IoT apps created on the IoTtalk platform at National Chiao Tung University (NCTU) where the app integrates the ideas of automatically producing mirror device features and talkPal device features [36]. It is suggested to use a fog computing architecture based on LoRaWAN to connect IoT nodes placed throughout a campus and it has been validated by simulating the smart campus using a 3D Ray-Launching radio-planning simulator built [30]. For small hybrid renewable energy systems (HRES), which include wind turbine, solar system, battery storage system and diesel generator, this study suggests IoT-based design.…”

Section: Iotmentioning

confidence: 99%

See 1 more Smart Citation

Smart Campus 4.0: Digitalization of University Campus with Assimilation of Industry 4.0 for Innovation and Sustainability

Satish Kumar Mahariya,

Awaneesh Kumar,

Rajesh Singh

et al. 2023

ARASET

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According to the United Nations, global sustainability in terms of social, economic, and environmental issues must be achieved by 2030. SDGs 4 and 9 are related to education and strengthen the attainment of quality education and infrastructure innovation. Resilient infrastructure plays a significant role in strengthening the campus in terms of education, management, placement and environment. These all aspects come under the smart campus. Smart campus 4.0 is the amalgamation of multitude industry 4.0 enabling technologies for delivering smart and innovative facilities with the aspect of sustainability. The previous studies have proved that the sustainable development goals (SDGs) can be achieved with the amalgamation of industry 4.0 enabling technologies in the campus such as cloud computing, artificial intelligence (AI), Internet of things (IoT), edge/fog computing, blockchain, robot process automation (RPA), drones, augmented reality (AR), virtual reality (VR), big data, digital twin, and metaverse. The main objective of this study to provide the detailed discussion of all industry 4.0 enabling technologies in single research related to smart campus. The findings observed are IoT-Based Drone system is intended to ground patrolling, and a cloud server to develop a smart campus energy monitoring system. AI for campus placement prediction model; cloud and Edge computing architecture to build an intelligent air-quality monitoring system. The novelty of the study, it has discussed all industry 4.0 enabling technologies for a smart campus with challenges, recommendations, and future directions.

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Section: Iotmentioning

confidence: 99%

Section: Iotmentioning

confidence: 99%

Smart Campus 4.0: Digitalization of University Campus with Assimilation of Industry 4.0 for Innovation and Sustainability

Satish Kumar Mahariya,

Awaneesh Kumar,

Rajesh Singh

et al. 2023

ARASET

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show abstract

“…In [53], Camera has been used for AmI (Ambient Intelligence) along with RFID to analyze user behavior and make them adapt to their environment and user needs. The author [54] defines how an intelligent classroom setup is built by promoting Mixed Reality to enhance the classroom experience. show an intelligent classroom will be possible with the intellectual environment.…”

Section: Existing Systems -Intelligent Classroom 41 Related Workmentioning

confidence: 99%

Enabling Intelligence through Deep Learning using IoT in a Classroom Environment based on a multimodal approach

M¹

2021

TURCOMAT

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Smart Classrooms are becoming very popular nowadays. The boom of recent technologies such as the Internet of Things, thanks to those technologies that are tremendously equipping every corner of a diverse set of fields. Every educational institution has set some benchmark on adopting these technologies in their daily lives. But due to some constraints and setbacks, these IoT technological embodiments in the educational sector is still in the premature stage. The major success of any technological evolution is based on its full-fledged implementation to fit the society in the broader concern. The breakthrough in recent years by Deep Learning principles as it outperforms traditional machine learning models to solve any tasks especially, Computer Vision and Natural language processing problems. A fusion of Computer Vision and Natural Language Processing as a new astonishing field that have shown its existence in the recent years. Using such mixtures with the IoT platforms is a challenging task and and has not reached the eyes of many researchers across the globe. Many researchers of the past have shown interest in designing an intelligent classroom on a different context. Hence to fill this gap, we have proposed an approach or a conceptual model through which Deep Learning architectures fused in the IoT systems results in an Intelligent Classroom via such hybrid systems. Apart from this, we have also discussed the major challenges, limitations as well as opportunities that can arise with Deep Learning-based IoT Solutions. In this paper, we have summarized the available applications of these technologies to suit our solution. Thus, this paper can be taken as a kickstart for our research to have a glimpse of the available papers for the success of our proposed approach.

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“…In the learning part, experiment was conducted and compared by using the traditional method. This method can increase the management effectiveness of campus facilities, save energy as much as 16,7% [6]. In the study conducted by [7], the concept of internet based parking guide by using QR code was introduced.…”

Section: Literature Reviewmentioning

confidence: 99%

Study of Smart Campus Development Using Internet of Things Technology

Sari¹,

Ciptadi²,

Hardyanto³

2016

EECSI

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Management of Intelligent Campus Wireless Sensor Networks Based on Runtime Model

Cited by 8 publications

References 15 publications

Smart Campus 4.0: Digitalization of University Campus with Assimilation of Industry 4.0 for Innovation and Sustainability

Smart Campus 4.0: Digitalization of University Campus with Assimilation of Industry 4.0 for Innovation and Sustainability

Enabling Intelligence through Deep Learning using IoT in a Classroom Environment based on a multimodal approach

Study of Smart Campus Development Using Internet of Things Technology

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