Survey on Multi-Access Edge Computing for Internet of Things Realization

By Pawani Porambage, Jude Okwuibe, Madhusanka Liyanage, Mika E. Ylianttila, Tarik Taleb. IEEE Communications Surveys and Tutorials, 2018

652 citations recorded by the source corpus.

The Internet of Things (IoT) has recently advanced from an experimental technology to what will become the backbone of future customer value for both product and service sector businesses. This underscores the cardinal role of IoT on the journey toward the fifth generation of wireless communication systems. IoT technologies augmented with intelligent and big data analytics are expected to rapidly change the landscape of myriads of application domains ranging from health care to smart cities and industrial automations. The emergence of multi-access edge computing (MEC) technology aims at extending cloud computing capabilities to the edge of the radio access network, hence providing real-time, high-bandwidth, low-latency access to radio network resources. IoT is identified as a key use case of MEC, given MEC’s ability to provide cloud platform and gateway services at the network edge. MEC will inspire the development of myriads of applications and services with demand for ultralow latency and high quality of service due to its dense geographical distribution and wide support for mobility. MEC is therefore an important enabler of IoT applications and services which require real-time operations. In this survey, we provide a holistic overview on the exploitation of MEC technology for the realization of IoT applications and their synergies. We further discuss the technical aspects of enabling MEC in IoT and provide some insight into various other integration technologies therein.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/c1a834807985446aebc4a928d7776e0a35ab1626

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Citations in the corpus

Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems (2020, neutral): “To facilitate efﬁcient task processing, mobile edge computing (MEC) [1], also known as fog computing [2] and multi-access edge computing [3], is introduced.”
Survey on Network Slicing for Internet of Things Realization in 5G Networks (2021, background): “Third Generation Partnership Project (3GPP) considers network slicing as a key feature in 5G networks [11].”
Enabling Massive IoT Toward 6G: A Comprehensive Survey (2021, background): “For the IoT-enabled applications that require real-time operations and decentralized services, edge computing is regarded as a key enabler [11], [12].”
A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems (2019, background): “The reader interested in aspects related to the integration of SDN networking with IoT systems can refer to these cited surveys [99], [114]–[116].”
Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things (2020, methodology): “To meet the requirements such as edge analytics and scalability, the combination of network slicing with MEC could be exploited [13].”
A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects (2021, methodology): “MEC enabled IoT [151] would aggregate the knowledge generated by a vast number of surrounding sensors to facilitate such use cases.”
Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges (2020, background): “Porambage et al. [29] provided a comprehensive overview of the use of MEC technology to implement IoT applications and their synergies, discussed the technical aspects of enabling MEC in IoT, and provided some insights into various integration technologies.”
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “Several works in [21]–[23] revealed the role of MEC for IoT applications and realization.”
Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey (2020, methodology): “the IoT edge computing paradigms presented in [116] that are suitable for IoUT.”
A Survey on Security and Privacy Issues in Edge-Computing-Assisted Internet of Things (2020, methodology): “For example, they can be utilized in anomaly detection in order to ensure fine-grained authentication in EC-assisted IoT systems [37].”
Edge Computing in 5G: A Review (2019, background): “, virtual reality and remote surgery) to edge clouds [31].”