Mobile Cooperative Sensing Based Secure Communication Strategy of Edge Computational Networks for Smart Cities

Sun, Ying; Su, Zhipeng; Zhao, Ying; Deng, Dan; Zhu, Fusheng; Xia, Junjuan

doi:10.1109/access.2020.3016764

Cited by 3 publications

(4 citation statements)

References 40 publications

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“…The studies in [24]- [27] have investigated the latency minimization problem for secure offloading MEC system. Specifically, in [24], a power allocation algorithm has been provided to achieve an optimal secure data rate and reduce the whole task latency of both communication and computation. The authors in [25] have investigated PLS in a NOMA-based MEC system with hybrid SIC decoding.…”

Section: ) Secure Mec Systemsmentioning

confidence: 99%

“…As shown in Fig. 4, we consider a secure MEC offloading scenario where an eavesdropper with a single antenna near the BS can overhear the messages transmitting from helpers to the BS [24]. Specifically, this eavesdropper is passive and never transmit signal and attempt to intercept communications between helpers and the MEC server.…”

Section: B Secure Offloading In Mec Systemmentioning

confidence: 99%

“…While designing a secure offloading mechanism in the proposed MEC framework, we define a constraint based on secrecy rate to diminish the offloading information leakage to the eavesdropper. According to [6] [19] [22] and [24], the transmission delay by considering the security constraint is expressed as follows:…”

Section: Algorithm 2 Optimizing the Overall Delay Based On Interior-p...mentioning

confidence: 99%

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Delay Minimization for Massive MIMO Based Cooperative Mobile Edge Computing System With Secure Offloading

Yilmaz

Özbek

Mumtaz³

2023

IEEE Open J. Veh. Technol.

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Mobile edge computing (MEC) has been envisioned as a promising technology for enhancing the computational capacities of mobile devices by enabling task offloading. In this paper, we present a novel framework for a cooperative MEC system by employing Massive Multiple-Input Multiple-Output (MIMO) and non-orthogonal multiple access (NOMA) technologies, including security aspects. Specifically, in the proposed cooperative MEC system, there is no strong direct transmission link between the cell-edge user and the MEC server; consequently, the user sends their tasks to the MEC server through the helpers at the cell-centers. In the proposed framework, we minimize the overall delay, including secure offloading under the constraints of computing capability and transmit power. The proposed algorithm minimizes the overall delay in downlink and uplink transmission while satisfying security constraints to solve the formulated problem. The simulation results show that Massive MIMO based NOMA improves the performance of the secure MEC system by employing more than one helper.INDEX TERMS Secure offloading, delay minimization, massive multiple input multiple output (MIMO), mobile edge computing (MEC), non-orthogonal multiple access (NOMA)

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Section: ) Secure Mec Systemsmentioning

confidence: 99%

Section: B Secure Offloading In Mec Systemmentioning

confidence: 99%

Section: Algorithm 2 Optimizing the Overall Delay Based On Interior-p...mentioning

confidence: 99%

See 1 more Smart Citation

Delay Minimization for Massive MIMO Based Cooperative Mobile Edge Computing System With Secure Offloading

Yilmaz

Özbek

Mumtaz³

2023

IEEE Open J. Veh. Technol.

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“…This advanced and modern technology is based on endpoints that can store data with low power consumption. Safety is mediated through UAV (unmanned aerial vehicle) devices, i.e., drones that monitor data transmission [29].…”

Section: Modern City Models Information Panels and Networkmentioning

confidence: 99%

Advanced Technologies and Their Use in Smart City Management

2021

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Building Smart City management concepts is based on the implementation and use of advanced technologies. The primary impulse for writing the article was the ambition to identify the current advanced technologies of Smart City management. The aim of the article is to propose a general model for the implementation of advanced technologies for Smart City management, based on the knowledge gained from the analysis of literature and case studies. In order to fulfill the set goal, it is necessary to obtain answers to two research questions. The findings were obtained through a secondary analysis of the literature, i.e., relevant articles from the scientific databases Web of Science and Scopus analysis of case studies of the best Smart Cities practices. According to the Smart City Index 2020 and IESE Cities in Motion, the leaders among the Smart Cities are Singapore and London, followed by Helsinki. In addition to the analyses, the article also uses methods of summarization, comparison, creativity, logic, induction and deduction. Smart Cities use 12 identified advanced technologies in their practice. Strategic management in Singapore, London and Helsinki adapts technology to the needs and requirements of its citizens, thus connecting the technological aspect with the managerial and social aspects. The contributions of the work include results for fellow researchers and a model for strategic management of new Smart Cities. The results of the article provide fellow researchers with the findings of a secondary analysis of relevant articles, from which they can draw when writing their own publications without the need for time-consuming search of the articles about this topic in databases. The general model of implementation of advanced technologies serves as a basis for strategic management of new Smart Cities that want to implement a technological base and at the same time do not want to forget the managerial and social aspects. Testing the model in practice with a new Slovak Smart City is part of future research activities.

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Research Models and Methodologies on the Smart City: A Systematic Literature Review

2022

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A smart city is a sustainable city that solves urban problems and improves citizens’ quality of life through the fourth industrial revolution technology and governance between stakeholders. With the advent of the fourth industrial revolution and the concept of smart cities changing, many smart city studies have been conducted. Still, studies on the overall flow of smart city research and major issues are insufficient. Therefore, this study analyzed the trends and characteristics of smart city research and proposes research directions through smart city literature analyses conducted over the past 10 years, from 2011 to 2020. This study conducted a systematic review of studies related to smart cities over the past 10 years. Smart city research was analyzed by dividing it into research methods and contents. In terms of research method, year, research methodology 1, research methodology 2, research purpose, data collection method, and use of research results were included in the analysis frame. In terms of research content, keywords related to research topics, analysis units, and the general classification criteria and security of smart cities were included. The research results mentioned in this study are expected to serve as useful guidelines for future smart city development projects.

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Mobile Cooperative Sensing Based Secure Communication Strategy of Edge Computational Networks for Smart Cities

Cited by 3 publications

References 40 publications

Delay Minimization for Massive MIMO Based Cooperative Mobile Edge Computing System With Secure Offloading

Delay Minimization for Massive MIMO Based Cooperative Mobile Edge Computing System With Secure Offloading

Advanced Technologies and Their Use in Smart City Management

Research Models and Methodologies on the Smart City: A Systematic Literature Review

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