Mobility‐Centric Analysis of Communication Offloading for Heterogeneous Internet of Things Devices

Kozyrev, Dmitry; Ometov, Aleksandr; Moltchanov, Dmitri; Rykov, Vladimir; Efrosinin, Dmitry; Milovanova, Tatiana; Andreev, Sergey; Koucheryavy, Yevgeni

doi:10.1155/2018/3761075

Cited by 16 publications

(4 citation statements)

References 28 publications

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“…The Edge architecture allowed to switch more delay intolerant applications closer to the computation demanders, e.g., Augmented/Virtual/Mixed Reality (AR/VR/MR) gaming, cellular offloading, etc., all together following the proximity-driven nature of the paradigm [ 27 ]. Generally, there are two approaches to the proximity between the Edge and user’s equipment: physical and logical proximity.…”

Section: Background On Computing Paradigmsmentioning

confidence: 99%

A Survey of Security in Cloud, Edge, and Fog Computing

Ometov

Molua

Komarov

et al. 2022

Sensors

Self Cite

104

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The field of information security and privacy is currently attracting a lot of research interest. Simultaneously, different computing paradigms from Cloud computing to Edge computing are already forming a unique ecosystem with different architectures, storage, and processing capabilities. The heterogeneity of this ecosystem comes with certain limitations, particularly security and privacy challenges. This systematic literature review aims to identify similarities, differences, main attacks, and countermeasures in the various paradigms mentioned. The main determining outcome points out the essential security and privacy threats. The presented results also outline important similarities and differences in Cloud, Edge, and Fog computing paradigms. Finally, the work identified that the heterogeneity of such an ecosystem does have issues and poses a great setback in the deployment of security and privacy mechanisms to counter security attacks and privacy leakages. Different deployment techniques were found in the review studies as ways to mitigate and enhance security and privacy shortcomings.

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Section: Background On Computing Paradigmsmentioning

confidence: 99%

A Survey of Security in Cloud, Edge, and Fog Computing

Ometov

Molua

Komarov

et al. 2022

Sensors

Self Cite

104

View full text Add to dashboard Cite

show abstract

“…Therefore, the adopted wireless standard should provide accurate information whether the user is close to another, e.g., below 2m, and not just somewhere in the same building, e.g., within 80-100m radius, which is the typical average coverage of a BLE or WiFi-enabled indoor device. On the other hand, the available wireless connectivity should have enough coverage to connect to the nearby gateway or AP/BS and then to the cloud server, e.g., by using LTE, LoRa, Narrow-band IoT (NB-IoT), Sigfox, or Telensa [21]- [23] depending on the availability on the device. The reliable coverage constraint requires both accurate short-range and robust long-range connectivity solutions installed on the same device.…”

Section: Reliable Range Constraintmentioning

confidence: 99%

Technical Perspectives of Contact-Tracing Applications on Wearables for COVID-19 Control

Shubina

Ometov

Lohan

2020

2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

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The wearables' market is rapidly evolving, with applications ranging from healthcare and activity monitoring to emerging domains such as drones and haptic helmets. Wearablebased contact tracing is gaining increased attention in the COVID-19 era for more efficient disease prevention. Therefore, it is of timely relevance to identify the leading existing wireless contact-tracing solutions and their suitability for wearables. Existing trade-offs of contact-tracing applications require a thorough analysis of technical capabilities, such as accuracy, energy consumption, availability, sources of errors when dealing with wireless channels, privacy challenges, and deterrents towards a large-scale adoption on the wearables market. Based on extensive literature research, we conclude that decentralized architectures generally offer a better place in a trade-off in terms of accuracy and user eagerness to adopt them, taking into account privacy considerations, compared to centralized approaches. Our paper provides a brief technical overview of the existing solutions deployed for contact tracing, defines main principles that affect the overall efficacy of digital contact tracing, and presents a discussion on the potential effect of wearables in tackling the spread of a highly contagious virus.

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“…Furthermore, the workload may be suddenly increased, so the fog resources are reduced and extra unexpected delay is incurred during the execution of requests 12 . Data or applications always need high processing speeds, and limited bandwidth to process data and costs of data transmission are the issues that should be considered in fog computing 13,14 …”

Section: Introductionmentioning

confidence: 99%

“…12 Data or applications always need high processing speeds, and limited bandwidth to process data and costs of data transmission are the issues that should be considered in fog computing. 13,14 In the last few years, many studies have focused on the discovery and allocation of resources. These studies can be divided into four groups (conducted on IoT, fog/edge, cloud computing, and combined IoT-fog/edge) based on the used platforms for which resource discovery is provided.…”

mentioning

confidence: 99%

A mathematical optimization model using red deer algorithm for resource discovery in CloudIoT

Goudarzi

Rahmani

Mosleh

2022

Trans Emerging Tel Tech

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The Internet of Things (IoT) and cloud computing are new concepts in revolutionized communication and information technologies. Different technologies, for example, transportation and healthcare, can benefit from Cloud of Things (CloudIoT) for mobile and fixed resource applications with great promises. Fixed and mobile resources are very important items in the CloudIoT paradigm because of the need for an appropriate discovery mechanism. In the present study, a mathematical optimization model is proposed for the minimization of bandwidth, cost, and response time of CloudIoT platforms with a special focus on the role of mobile and fixed resources in resource discovery. Additionally, this study presents a heuristic resource discovery algorithm using a mathematical optimization model (RDMOM). The mixed‐integer non‐linear programming is used to design the discovery mechanism. Furthermore, the optimization problem is solved using the red deer algorithm. Finally, the simulation results show a significant reduction in the latency, resource efficiency, and energy consumption, as well as an improvement in availability and success ratio, compared to previous algorithms. The RDMOM algorithm significantly improves the success ratio, energy consumption, resource efficiency, availability, and latency, respectively, by 18%, 21%, 24%, 17%, and 21% in comparison to other algorithms.

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Mobility‐Centric Analysis of Communication Offloading for Heterogeneous Internet of Things Devices

Cited by 16 publications

References 28 publications

A Survey of Security in Cloud, Edge, and Fog Computing

A Survey of Security in Cloud, Edge, and Fog Computing

Technical Perspectives of Contact-Tracing Applications on Wearables for COVID-19 Control

A mathematical optimization model using red deer algorithm for resource discovery in CloudIoT

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