Mobile Edge Computing Potential in Making Cities Smarter

By Tarik Taleb, Sunny Dutta, A. Ksentini, Muddesar Iqbal, Hannu Flinck. IEEE Communications Magazine, 2017

371 citations recorded by the source corpus.

This article proposes an approach to enhance users' experience of video streaming in the context of smart cities. The proposed approach relies on the concept of MEC as a key factor in enhancing QoS. It sustains QoS by ensuring that applications/services follow the mobility of users, realizing the "Follow Me Edge" concept. The proposed scheme enforces an autonomic creation of MEC services to allow anywhere anytime data access with optimum QoE and reduced latency. Considering its application in smart city scenarios, the proposed scheme represents an important solution for reducing core network traffic and ensuring ultra-short latency through a smart MEC architecture capable of achieving the 1 ms latency dream for the upcoming 5G mobile systems.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/7e2d6582352f7e0863db47af09fc79c62b38a99f

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Citations in the corpus

A Cooperative Partial Computation Offloading Scheme for Mobile Edge Computing Enabled Internet of Things (2019, background): “The key idea of MEC is to bring the computing and storage resources of central servers to the network edge as well as in the proximity of users [5].”
On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration (2017, neutral): “, in popular areas and museums) locally without requiring centralized servers and core network resources [52].”
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “d application scenarios of these works are summarized in Table VII. 1) Smart home and Smart city: One of the most important use cases of IoT is smart city and its important subset smart home/building [195], [196].Recently, the MEC contexts and novel 5G technologies have been enabled to emerge the ju”
Survey on Multi-Access Edge Computing for Internet of Things Realization (2018, background): “data traffic produced in smart cities can be ideally processed at the edge of the network providing low latency and location awareness [43], [44].”
Edge Computing in 5G: A Review (2019, background): “Data and task-level parallelism splits workload into independent and smaller tasks that can be executed in parallel across different hardware and layers in edge clouds [12].”
Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and Solutions (2018, background): “MIoT is expected to enable smart wearables, e-Health and sensor networks that allow smart home/city [41], farming and smart utili-”
Edge server placement in mobile edge computing (2019, background): “The next-generation mobile networks aim to accelerate the development of smart cities, by not only increasing the data delivery rates but also increasing the amount of infrastructures used by smart city services and applications [2].”
Edge-computing-driven Internet of Things: A Survey (2022, background): “Some geo-based applications like transportation can collect and analyze data to avoid the dilemma of transmission to the cloud [171].”
Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach (2017, background): “It is defined as running IT-based servers (called MEC servers) at the edge of the RAN, which apply the concept of cloud computing in network edge nodes, to facilitate services and applications for smart cities [1, 4, 14].”
A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems (2019, background): “This approach is well explained by the paradigm “Followme-edge” [156] where virtualized services can be seamlessly moved over different edge nodes to support manifold IoT applications with mobile devices [157], [158].”
Resource Scheduling in Edge Computing: A Survey (2021, background): “, things), such as UAVs [40], CAVs [16], AR equipment [41], surveillance cameras for smart city [42], sensors for smart health [43],”
Edge-Computing-Enabled Smart Cities: A Comprehensive Survey (2019, neutral): “This challenge can be handled using effective service migration schemes [70].”