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Survey on Multi-Access Edge Computing for Internet of Things Realization (1805.06695v1)

Published 17 May 2018 in cs.NI

Abstract: 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 towards the fifth generation (5G) 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 ultra low latency and high Quality of Service (QoS) 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.

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Authors (5)
  1. Pawani Porambage (6 papers)
  2. Jude Okwuibe (2 papers)
  3. Madhusanka Liyanage (23 papers)
  4. Mika Ylianttila (9 papers)
  5. Tarik Taleb (30 papers)
Citations (554)

Summary

Multi-Access Edge Computing for IoT Realization: An Analytical Survey

This paper provides a comprehensive survey on the intersection of Multi-Access Edge Computing (MEC) and the Internet of Things (IoT), elucidating how MEC can be leveraged to enhance IoT applications. As an emerging paradigm, MEC extends cloud computing capabilities to the edge of the radio access network. This extension facilitates real-time, high-bandwidth, and low-latency access to network resources, thereby enabling the deployment of IoT solutions that require efficient, scalable, and timely operations.

Overview of MEC-IoT Synergy

The paper highlights the transformative potential of MEC in advancing IoT applications across various domains such as healthcare, smart cities, automotive, and industrial automation. MEC's ability to provide localized data processing and storage significantly reduces the need for data to be transferred to centralized cloud servers, thus alleviating network congestion and improving latency-sensitive applications.

Technical Dimensions

Several technical aspects are dissected to illustrate the benefits and challenges of integrating MEC with IoT, each providing insight into the real-world applicability of MEC:

  1. Scalability: With IoT devices proliferating into the billions, the scalability of network infrastructure is crucial. MEC aids scalability by performing data processing at the network's edge, thus reducing the load on central cloud systems.
  2. Communication: The integration of MEC necessitates robust communication protocols to manage the diverse data flows between IoT devices and MEC servers. The paper discusses the optimization of radio and backhaul links to maintain reliable and efficient communication.
  3. Computation Offloading: By offloading computation tasks to MEC servers, IoT devices can conserve energy and enhance performance. The paper explores various strategies and algorithms developed to optimize offloading decisions and resource allocation.
  4. Mobility Management: Maintaining connectivity and service quality for mobile IoT devices is critical. The paper reviews existing mechanisms for seamless mobility support via MEC, which are essential for applications like autonomous vehicles.
  5. Security: As nodes move closer to the edge, security risks increase. MEC introduces unique security challenges such as MitM and DDoS attacks. The paper emphasizes the need for comprehensive security frameworks in MEC-enabled IoT infrastructures.
  6. Privacy and Trust Management: Handling sensitive data at the edge necessitates stringent privacy and trust measures. The paper highlights mechanisms to ensure secure data processing and management in MEC environments.

MEC-IoT Applications

The survey identifies several application scenarios capitalizing on MEC’s capabilities:

  • Smart Cities: MEC aids in processing the huge data volumes from urban IoT deployments, providing real-time analytics for traffic management and public safety.
  • Healthcare: MEC supports remote healthcare applications by facilitating ultra-low latency and localized data processing for health monitoring systems.
  • Automotive: In V2X communications, MEC enhances vehicular networks' reliability and latency performance, enabling safer and more efficient autonomous driving solutions.

Implications and Future Directions

Practical Impact: MEC-enabled IoT systems promise significant enhancements in efficiency and user experience across diverse application areas. This integration supports industries in achieving real-time analytics, energy efficiency, and reduced operational costs.

Theoretical Contributions: By offering a detailed survey on MEC-IoT integration, the paper provides a theoretical foundation to guide future research in this domain. It suggests the need for continued exploration into the optimization of communication protocols, security frameworks, and resource management strategies.

Future Research: Open research questions remain in areas such as automated edge server orchestration, machine learning integration for predictive analytics, and development of unified standards for MEC-IoT ecosystems.

In conclusion, the paper presents a rigorous examination of multi-access edge computing's role in advancing IoT applications, emphasizing the substantial benefits and addressing the complexities inherent in such integration. By leveraging MEC, the IoT paradigm can be significantly enhanced, paving the way for the realization of advanced services in future networks.