FellowMe Cache: Fog Computing approach to enhance (QoE) in Internet of Vehicles

2020 ◽  
Vol 113 ◽  
pp. 170-182
Author(s):  
Tasnim Abar ◽  
Abderrezak Rachedi ◽  
Asma ben Letaifa ◽  
Philippe Fabian ◽  
Sadok el Asmi
Author(s):  
Amany Sarhan

Fog computing is a developing computing approach to extend and assist cloud computing. Fog computing platforms have several characteristics help providing the services for the users in a reduced time manner and thus improve the QoS of the IoT devices such as being close to edge-users, being open platform, and its support for mobility. Thus, it is becoming a necessary approach for user-centric IoT-based applications that involve real-time operations, for example, agricultural applications, internet of vehicles, road monitoring, and smart grid. In this chapter, the present characterizations of fog computing, its architectures and a comprehensive method of how it is used to handle IoT-based agricultural applications are discussed. The chapter also presents some of these possible applications highlighting how they could benefit from the fog layer in providing better services.


2020 ◽  
Vol 7 (5) ◽  
pp. 4278-4291 ◽  
Author(s):  
Jianbin Gao ◽  
Kwame Opuni-Boachie Obour Agyekum ◽  
Emmanuel Boateng Sifah ◽  
Kingsley Nketia Acheampong ◽  
Qi Xia ◽  
...  

2019 ◽  
Vol 6 (5) ◽  
pp. 8804-8817 ◽  
Author(s):  
Mohammad Wazid ◽  
Palak Bagga ◽  
Ashok Kumar Das ◽  
Sachin Shetty ◽  
Joel J. P. C. Rodrigues ◽  
...  

2019 ◽  
Vol 10 (10) ◽  
pp. 3863-3877 ◽  
Author(s):  
Shumayla Yaqoob ◽  
Ata Ullah ◽  
Muhammad Akbar ◽  
Muhammad Imran ◽  
Muhammad Shoaib

2019 ◽  
Vol 15 (1) ◽  
pp. 155014771982582 ◽  
Author(s):  
Razi Iqbal ◽  
Talal Ashraf Butt ◽  
Muhammad Afzaal ◽  
Khaled Salah

The Internet of things is the next stage in the evolution of the Internet that is being materialized with the integration of billions of smart objects. The state-of-the-art communication technologies have enabled the previously isolated devices to become an active part of the Internet. This constant connectivity opens new avenues for novel applications such as the realization of social Internet of things and its subdomain the social Internet of vehicles. Socializing requires sharing of information that entails trust, especially in an open and broad social environment. This article highlights the key factors involved in conceptualizing an efficient trust model for social Internet of vehicles. Furthermore, it focuses on the unique challenges involved in designing the trust models for social Internet of vehicles. Several trust models exist in literature; however, most of the existing trust models are specific to their domains, for example, Internet of things, social Internet of things, or general vehicular networks. This article presents a brief review of the trust models that have the potential to be implemented in Social Internet of vehicles. Finally, the authors present an overview of how trending concepts and emerging technologies like blockchain and fog computing can assist in developing a trust-based social Internet of vehicles model for high-efficiency, decentralized architecture and dynamic nature of vehicular networks.


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