Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing

Ren, Ju; Guo, Hui; Xu, Chong‐Yu; Zhang, Yaoxue

doi:10.1109/mnet.2017.1700030

Cited by 374 publications

(133 citation statements)

References 16 publications

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“…Edge servers possessing fewer computing resources than cloud servers are deployed at base stations, IoT gateways or access points, in approximation to users. Some less computing-intensive tasks such as data preprocessing, compression and encryption can be conducted at edge servers [40], [41]. Local nodes generally referring to the IoE nodes only have limited storage and computing resources, in which data collections or lightweight data preprocessing tasks can be conducted.…”

Section: Internet Of Ioementioning

confidence: 99%

Unmanned aerial vehicle for internet of everything: Opportunities and challenges

Liu

Dai

Wang

et al. 2020

Computer Communications

180

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The recent advances in information and communication technology (ICT) have further extended Internet of Things (IoT) from the sole "things" aspect to the omnipotent role of "intelligent connection of things". Meanwhile, the concept of internet of everything (IoE) is presented as such an omnipotent extension of IoT. However, the IoE realization meets critical challenges including the restricted network coverage and the limited resource of existing network technologies. Recently, Unmanned Aerial Vehicles (UAVs) have attracted significant attentions attributed to their high mobility, low cost, and flexible deployment. Thus, UAVs may potentially overcome the challenges of IoE. This article presents a comprehensive survey on opportunities and challenges of UAV-enabled IoE. We first present three critical expectations of IoE: 1) scalability requiring a scalable network architecture with ubiquitous coverage, 2) intelligence requiring a global computing plane enabling intelligent things, 3) diversity requiring provisions of diverse applications. Thereafter, we review the enabling technologies to achieve these expectations and discuss four intrinsic constraints of IoE (i.e., coverage constraint, battery constraint, computing constraint, and security issues). We then present an overview of UAVs. We next discuss the opportunities brought by UAV to IoE. Additionally, we introduce a UAV-enabled IoE (Ue-IoE) solution by exploiting UAVs's mobility, in which we show that Ue-IoE can greatly enhance the scalability, intelligence and diversity of IoE. Finally, we outline the future directions in Ue-IoE.

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Section: Internet Of Ioementioning

confidence: 99%

Unmanned aerial vehicle for internet of everything: Opportunities and challenges

Liu

Dai

Wang

et al. 2020

Computer Communications

180

View full text Add to dashboard Cite

show abstract

“…For η j t = ln K KT and µ j t = η j t 2 , (14) becomes 11 On the other hand, if η j t = ln K 2Kt and µ j t = η j t 2 , ∀t, and the independence between η j t and Q j t implies…”

Section: A Proof Of Theoremmentioning

confidence: 99%

Secure Mobile Edge Computing in IoT via Collaborative Online Learning

Chen

Giannakis

2019

IEEE Trans. Signal Process.

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To accommodate heterogeneous tasks in Internet of Things (IoT), a new communication and computing paradigm termed mobile edge computing emerges that extends computing services from the cloud to edge, but at the same time exposes new challenges on security. The present paper studies online securityaware edge computing under jamming attacks. Leveraging online learning tools, novel algorithms abbreviated as SAVE-S and SAVE-A are developed to cope with the stochastic and adversarial forms of jamming, respectively. Without utilizing extra resources such as spectrum and transmission power to evade jamming attacks, SAVE-S and SAVE-A can select the most reliable server to offload computing tasks with minimal privacy and security concerns. It is analytically established that without any prior information on future jamming and server security risks, the proposed schemes can achieve O √ T regret. Information sharing among devices can accelerate the security-aware computing tasks. Incorporating the information shared by other devices, SAVE-S and SAVE-A offer impressive improvements on the sublinear regret, which is guaranteed by what is termed "value of cooperation." Effectiveness of the proposed schemes is tested on both synthetic and real datasets.

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“…Edge computing meet the delay requirements of IoT applications. Edge computing is a distributed computing paradigm in which computation is largely or completely performed on distributed device nodes known as smart devices or edge devices, as opposed to primarily taking place in a centralized cloud environment [17,18]. The fog computing architecture network (FOCAN) is a multi-tier architecture in which applications are running on things jointly compute, route, and communicate with each other via smart city environment [19].…”

Section: Literature Reviewmentioning

confidence: 99%

Design and Implementation of an Interworking IoT Platform and Marketplace in Cloud of Things

2019

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An internet of things (IoT) platform is a multi-layer technology that enables automation of connected devices within IoT. IoT platforms serve as a middle-ware solution and act as supporting software that is able to connect different hardware devices, access points, and networks to other parts of the value chain. Virtual objects have become a vital component in every IoT platform. Virtual objects are the digital representation of a physical entity. In this paper, we design and implement a cloud-centric IoT platform that serves a purpose for registration and initialization of virtual objects so that technology tinkerers can consume them via the IoT marketplace and integrate them to build IoT applications. The proposed IoT platform differs from existing IoT platforms in the sense that they provide hardware and software services on the same platform that users can plug and play. The proposed IoT platform is separate from the IoT marketplace where users can consume virtual objects to build IoT applications. Experiments are conducted for IoT platform and interworking IoT marketplace based on virtual objects in CoT. The proposed IoT platform provides a user-friendly interface and is secure and reliable. An IoT testbed is developed and a case study is performed for a domestic environment to reuse virtual objects on the IoT marketplace. It also provides the discovery and sharing of virtual objects. IoT devices can be monitored and controlled via virtual objects. We have conducted a comparative analysis of the proposed IoT platform with FIWARE. Results conclude that the proposed system performs marginally better than FIWARE.

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Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing

Cited by 374 publications

References 16 publications

Unmanned aerial vehicle for internet of everything: Opportunities and challenges

Unmanned aerial vehicle for internet of everything: Opportunities and challenges

Secure Mobile Edge Computing in IoT via Collaborative Online Learning

Design and Implementation of an Interworking IoT Platform and Marketplace in Cloud of Things

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