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Papers on “edge computing internet of things latency”

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1. iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments

   Harshit Gupta, Amir Vahid Dastjerdi, S. Ghosh, et al. · 2016 · Software: Practice and Experience · 1,603 cites

   Internet of Things (IoT) aims to bring every object (eg, smart cameras, wearable, environmental sensors, home appliances, and vehicles) online, hence generating massive volume of data that can overwhelm storage systems and data analytics applications. Cloud computing offers services at the infrastructure level that can scale to IoT storage and processing requirements. However, there are applications such as health monitoring and emergency response that require low latency, and delay that is caused by transferring data to the cloud and then back to the application can seriously impact their performances. To overcome this limitation, Fog computing paradigm has been proposed, where cloud servic

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2. A Survey on the Edge Computing for the Internet of Things

   Wei Yu, Fan Liang, Xiaofei He, et al. · 2017 · IEEE Access · 1,516 cites

   The Internet of Things (IoT) now permeates our daily lives, providing important measurement and collection tools to inform our every decision. Millions of sensors and devices are continuously producing data and exchanging important messages via complex networks supporting machine-to-machine communications and monitoring and controlling critical smart-world infrastructures. As a strategy to mitigate the escalation in resource congestion, edge computing has emerged as a new paradigm to solve IoT and localized computing needs. Compared with the well-known cloud computing, edge computing will migrate data computation or storage to the network “edge”, near the end users. Thus, a number of computa

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3. Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges

   T. Qiu, J. Chi, Xiaobo Zhou, et al. · 2020 · IEEE Communications Surveys & Tutorials · 719 cites

   The Industrial Internet of Things (IIoT) is a crucial research field spawned by the Internet of Things (IoT). IIoT links all types of industrial equipment through the network; establishes data acquisition, exchange, and analysis systems; and optimizes processes and services, so as to reduce cost and enhance productivity. The introduction of edge computing in IIoT can significantly reduce the decision-making latency, save bandwidth resources, and to some extent, protect privacy. This paper outlines the research progress concerning edge computing in IIoT. First, the concepts of IIoT and edge computing are discussed, and subsequently, the research progress of edge computing is discussed and sum

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4. Edge-computing-driven Internet of Things: A Survey

   L. Kong, Jinlin Tan, Junqin Huang, et al. · 2022 · ACM Computing Surveys · 405 cites

   The Internet of Things (IoT) is impacting the world’s connectivity landscape. More and more IoT devices are connected, bringing many benefits to our daily lives. However, the influx of IoT devices poses non-trivial challenges for the existing cloud-based computing paradigm. In the cloud-based architecture, a large amount of IoT data is transferred to the cloud for data management, analysis, and decision making. It could not only cause a heavy workload on the cloud but also result in unacceptable network latency, ultimately undermining the benefits of cloud-based computing. To address these challenges, researchers are looking for new computing models for the IoT. Edge computing, a new decentr

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5. Mobile Edge Computing and Networking for Green and Low-Latency Internet of Things

   Ke Zhang, Supeng Leng, Yejun He, et al. · 2018 · IEEE Communications Magazine · 252 cites

   IoT, a heterogeneous interconnection of smart devices, is a great platform to develop novel mobile applications. Resource constrained smart devices, however, often become the bottlenecks to fully realize such developments, especially when it comes to intensive-computation-oriented and low-latency-demanding applications. MEC is a promising approach to address such challenges. In this article, we focus on MEC applications for IoT, and address energy efficiency as well as offloading performance of such applications in terms of end-user experience. In this regard, we present a mobility-aware hierarchical MEC framework for green and low-latency IoT. We deploy a game theoretic approach for computa

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6. Edge Computing and Cloud Computing for Internet of Things: A Review

   Francesco Cosimo Andriulo, Marco Fiore, Marina Mongiello, et al. · 2024 · Informatics · 219 cites

   The rapid expansion of the Internet of Things ecosystem has created an urgent need for efficient data processing and analysis technologies. This review aims to systematically examine and compare edge computing, cloud computing, and hybrid architectures, focusing on their applications within IoT environments. The methodology involved a comprehensive search and analysis of peer-reviewed journals, conference proceedings, and industry reports, highlighting recent advancements in computing technologies for IoT. Key findings reveal that edge computing excels in reducing latency and enhancing data privacy through localized processing, while cloud computing offers superior scalability and flexibilit

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7. Joint Optimization of Energy Consumption and Latency in Mobile Edge Computing for Internet of Things

   Laizhong Cui, Chong Xu, Shu Yang, et al. · 2018 · IEEE Internet of Things Journal · 180 cites

   With wide adoption of Internet of Things (IoT) across the world, the IoT devices are facing more and more intensive computation task nowadays. However, the IoT devices are usually limited by their computing capability and battery lifetime. Mobile edge computing provides new opportunities for developments of IoT, since edge computing servers which are close to devices can provide more powerful computing resources. The IoT devices can offload the intensive computing tasks to edge computing servers, while saving their own computing resources and reducing energy consumption. However, the benefits come at the cost of higher latency, mainly due to additional transmission time, and it may be unacce

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8. Latency-Aware IoT Service Provisioning in UAV-Aided Mobile-Edge Computing Networks

   Liang Zhang, Nirwan Ansari · 2020 · IEEE Internet of Things Journal · 171 cites

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