Opportunistic mobile social networks: Challenges survey and application in smart campus

Kadadha, Maha; Al-Ali, Hamda; Mufti, Maha Al; Al-Aamri, Amira; Mizouni, Rabeb

doi:10.1109/wimob.2016.7763216

Cited by 12 publications

(13 citation statements)

References 25 publications

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“…The smart campus services and infrastructure can be optimized thanks to the analysis of the user patterns and behaviors. For instance, mobility patterns, user activities, or social interactions can be determined through smartphone apps [94,95], by monitoring WiFi communications [96,97] or by collecting data from smartphone sensors [98], wearables, or even garments [99].…”

Section: Smart Campus and University Applicationsmentioning

confidence: 99%

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

2019

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Smart campuses and smart universities make use of IT infrastructure that is similar to the one required by smart cities, which take advantage of Internet of Things (IoT) and cloud computing solutions to monitor and actuate on the multiple systems of a university. As a consequence, smart campuses and universities need to provide connectivity to IoT nodes and gateways, and deploy architectures that allow for offering not only a good communications range through the latest wireless and wired technologies, but also reduced energy consumption to maximize IoT node battery life. In addition, such architectures have to consider the use of technologies like blockchain, which are able to deliver accountability, transparency, cyber-security and redundancy to the processes and data managed by a university. This article reviews the state of the start on the application of the latest key technologies for the development of smart campuses and universities. After defining the essential characteristics of a smart campus/university, the latest communications architectures and technologies are detailed and the most relevant smart campus deployments are analyzed. Moreover, the use of blockchain in higher education applications is studied. Therefore, this article provides useful guidelines to the university planners, IoT vendors and developers that will be responsible for creating the next generation of smart campuses and universities.

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Section: Smart Campus and University Applicationsmentioning

confidence: 99%

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

2019

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“…In the learning environment of a smart campus, one expects that students could share information anywhere, anytime. Kadadha et al [131] discussed opportunistic mobile social network (OMSN) applications in that context, i.e. a person-to-person sharing procedure allowing exchange without the recourse to an Internet connection.…”

Section: Knowledge Transfer and Collaborationmentioning

confidence: 99%

Smart Campuses: Extensive Review of the Last Decade of Research and Current Challenges

et al. 2021

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Novel intelligent systems to assist the energy transition and improve sustainability and people's life can be deployed at different scales, ranging from a house to an entire region. University campuses are an interesting intermediate size (big enough to matter and small enough to be tractable) for research, development, test and training on the integration of smartness at all levels, which led to the emergence of the concept of "smart campus" over the last few years. This review article proposes an extensive analysis of the scientific literature on smart campuses from the last decade (2010-2020). The 182 selected publications are distributed into seven categories of smartness: smart building, smart environment, smart mobility, smart living, smart people, smart governance and smart data. The main open questions and challenges regarding smart campuses are presented at the end of the review and deal with sustainability and energy transition, acceptability and ethics, learning models, open data policies and interoperability. The present work was carried out within the framework of the Energy Network of the Regional Leaders Summit (RLS-Energy) as part of its multilateral research efforts on smart regions.

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“…Due to the complex mixture of elements and devices to be connected, many expected and unexpected problems might appear and need to be addressed. For instance, internet coverage [16], energy consumption [17], sensory network [18], location-based services [19] etc.…”

Section: Introductionmentioning

confidence: 99%

Towards a Smart Campus for Qassim University: An Investigation of Indoor Navigation System

Hadwan¹,

Khan²,

Abuzanouneh³

2020

Adv. sci. technol. eng. syst. j.

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With the advancements in technology, smart entities are becoming increasingly intelligent, therefore, increasing their interaction capabilities with their surrounding environment. Apart from the traditional smart low profile devices, these entities now involve cars, mobiles, televisions, and extend to universities and smart cities. One of the bi-product of the smart cities is the emergence of the concept of smart campus. The smart campus is a teaching environment, where dynamic interaction between students/users and the surrounding devices takes place using the paradigm of the Internet of Things (IoT). The Qassim University (QU) is considerably a large university having thousands of students and hundreds of functional units in the central building and also spread across the different cities of the Al-Qassim province. Therefore, the QU can be considered as a small city where many elements need to be connected and decisions be made. The QU thus represents an optimal and practical scenario for the concept of smart campus. With this spirit, the goal of this research is thus to investigate an Indoor Navigation System (INS) as a suitable platform for the QU. As such, the paper reviews the current technologies and opt for the best available and optimal options. For implementation and simulation, the BLE beacon is selected and user data is analyzed to design a mobile application that includes all the services requested by the users. The system architecture in addition to a 2D map presented in this research will help in identifying the locations of BLE beacons to cover the specific area. The work in this paper is conducted on the main campus of the QU; however, the extension to other setups involves minimum or similar infrastructure.

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Opportunistic mobile social networks: Challenges survey and application in smart campus

Cited by 12 publications

References 25 publications

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

Smart Campuses: Extensive Review of the Last Decade of Research and Current Challenges

Towards a Smart Campus for Qassim University: An Investigation of Indoor Navigation System

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