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Payal Thakur;Vivek Kumar Sehgal; 《Concurrency and Computation》2024,36(12):e8066
As a foundational technology for managing decentralized systems like smart grids and healthcare systems, blockchain is attracting a lot of interest. However, owing to excessive resource requirements and low scalability with frequent-intensive transactions, its use in resource-constrained mobile devices is restricted. To let mobile devices offload processing tasks to cloud resources, edge computing can be used. For scalability and secure transactions, the integration with edge computing guarantees consistent access, distributed computing, and non-compromised storage. To accomplish effective integration, critical challenges such as reliability, adaptability, and resource planning must be resolved. Despite these efforts, further study is still needed to address issues with confidentiality, flexibility, and reliability to develop a workable, secure decentralized data storage system. This study utilizes edge computing to build an Internet of Things (IoT) architecture that satisfies the safety and scalability necessary criteria for integration along with the integration of peer-to-peer and blockchain technologies. Already-existing blockchain and related technologies have also been investigated to suggest solutions that address issues like secrecy, reliability, and scalability in order to successfully incorporate blockchain in IoT systems. Our experimental findings indicate that achieving low rates of stale blocks and promoting decentralization requires a meticulous selection of block sizes and generation intervals. It is essential to maintain block creation intervals as short as practically possible, and utilizing blocks with a size below 1 MB is advisable. 相似文献
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Othmane Friha Mohamed Amine Ferrag Lei Shu Leandros Maglaras Xiaochan Wang 《IEEE/CAA Journal of Automatica Sinica》2021,8(4):718-752
This paper presents a comprehensive review of emerging technologies for the internet of things(IoT)-based smart agriculture.We begin by summarizing the existing surveys and describing emergent technologies for the agricultural IoT,such as unmanned aerial vehicles,wireless technologies,open-source IoT platforms,software defined networking(SDN),network function virtualization(NFV)technologies,cloud/fog computing,and middleware platforms.We also provide a classification of IoT applications for smart agriculture into seven categories:including smart monitoring,smart water management,agrochemicals applications,disease management,smart harvesting,supply chain management,and smart agricultural practices.Moreover,we provide a taxonomy and a side-by-side comparison of the state-ofthe-art methods toward supply chain management based on the blockchain technology for agricultural IoTs.Furthermore,we present real projects that use most of the aforementioned technologies,which demonstrate their great performance in the field of smart agriculture.Finally,we highlight open research challenges and discuss possible future research directions for agricultural IoTs. 相似文献
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随着智慧物联体系的发展,物联网中应用程序的种类与数量不断增加.在移动边缘计算(mobile edge computing, MEC)中,通过允许移动用户将任务卸载至附近MEC服务器以加快移动应用程序的速度.本文通过考虑不同任务属性、用户的移动性和时间延迟约束模拟移动边缘场景.根据用户移动轨迹,将目标建模为寻找满足时延约束条件且在卸载过程中产生最小能耗MEC服务器优化模型,并提出一种最小能耗卸载算法求解该问题的最优解.仿真结果表明,在约束条件下,提出的算法可以找到在用户移动轨迹中产生最小能耗的MEC服务器,并显著降低任务卸载过程的能耗与时延,提高应用程序服务质量. 相似文献
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With the development of intelligent sensing, edge computing, fog computing, cloud computing, parallel computing, smart grid, big data, block chain, 5G, cyber-physical systems, digital twins, machine learning and other technologies, the industrial internet has undergone control network stage, sensor network stage, internet stage, Internet of Things (IoT) stage, Industrial Internet of Things (IIoT) stage, and Industrial Internet (II) stage, etc. In the existing research, scholars focus on a local dot, such as: technology, function, elements and application based on industrial internet. However, there is a lack of an overall framework to study the top-level planning of Industrial Internet Platform (IIP) from a systematic perspective. On the other hand, there are few studies on the detailed path and steps for implementing IIP in a specific enterprise in a specific industry. The objective of this paper is to study a reference framework and industrial implementation path for IIP in product service system using industrial practice investigation method, which meets the needs of industry on the basis of existing theory and industrial practice, and to provide reference for government and industry planning, design, implementation and promotion of IIP. In addition, the proposed reference framework and industrial implementation for IIP in product service system can enhance the core value of the enterprise and increase benefits. 相似文献
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随着国家电网电力物联网的逐步推进,作为其核心支撑技术的边缘计算框架逐渐成为研究热点.首先,总结了物联网和边缘计算框架方面的已有研究工作;其次,通过分析电力物联网在业务场景、边缘计算、信息安全等方面的关键技术难题,提出了一种适应于电力物联网的可信边缘计算框架SG-Edge;随后,结合边缘框架的可信防护关键难题,给出了硬件可信引导、软件行为动态度量等关键技术方法;最后,从业务适应性、安全性以及性能等方面对SG-Edge进行了全面评估,并对未来研究可能面临的挑战进行了展望. 相似文献
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Giancarlo Fortino Fabrizio Messina Domenico Rosaci Giuseppe M. L. Sarnè 《IEEE/CAA Journal of Automatica Sinica》2020,7(5):1263-1278
The purpose of the next internet of things (IoT) is that of making available myriad of services to people by high sensing intelligent devices capable of reasoning and real time acting. The convergence of IoT and multi-agent systems (MAS) provides the opportunity to benefit from the social attitude of agents in order to perform machine-to-machine (M2M) coopera-tion among smart entities. However, the selection of reliable partners for cooperation represents a hard task in a mobile and federated context, especially because the trustworthiness of devices is largely unreferenced. The issues discussed above can be synthesized by recalling the well known concept of social resilience in IoT systems, i.e., the capability of an IoT network to resist to possible attacks by malicious agent that potentially could infect large areas of the network, spamming unreliable infor-mation and/or assuming unfair behaviors. In this sense, social resilience is devoted to face malicious activities of software agents in their social interactions, and do not deal with the correct working of the sensors and other information devices. In this setting, the use of a reputation model can be a practicable and effective solution to form local communities of agents on the basis of their social capabilities. In this paper, we propose a framework for agents operating in an IoT environment, called ResIoT, where the formation of communities for collaborative purposes is performed on the basis of agent reputation. In order to validate our approach, we performed an experimental campaign by means of a simulated framework, which allowed us to verify that, by our approach, devices have not any economic convenience to performs misleading behaviors. Moreover, further experimental results have shown that our approach is able to detect the nature of the active agents in the systems (i.e., honest and malicious), with an accuracy of not less than 11% compared to the best competitor tested and highlighting a high resilience with respect to some malicious activities. 相似文献
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为降低多设备多边缘服务器场景中设备层级的总成本,并解决现有深度强化学习（deep reinforcement learning,DRL）只支持单一动作空间的算法局限性,提出基于混合决策的多智能体深度确定性策略梯度方法（hybrid-based multi-agent deep determination policy gradient,H-MADDPG）。首先考虑物联网设备/服务器计算能力随负载的动态变化、时变的无线传输信道增益、能量收集的未知性、任务量不确定性多种复杂的环境条件,建立MEC系统模型;其次以一段连续时隙内综合时延、能耗的总成本最小作为优化目标建立问题模型;最后将问题以马尔科夫决策过程（Markov decision procession,MDP）的形式交付给H-MADDPG,在价值网络的辅助下训练并行的两个策略网络,为设备输出离散的服务器选择及连续的任务卸载率。实验结果表明,H-MADDPG方法具有良好的收敛性和稳定性,从计算任务是否密集、延迟是否敏感等不同角度进行观察,H-MADDPG系统整体回报优于Local、OffLoad和DDPG,在计算密集型的任务需求下也能保持更大的系统吞吐量。 相似文献
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Distributed ledger technologies will play an important role in the communication and data integrity of internet of things (IoT) devices in the future. IOTA is a public distributed ledger that can serve as a scalable, secure and feeless settlement layer for IoT transactions. It enables micro‐transactions for smart devices and offers a highly scalable architecture for network consensus and overcomes the inefficiencies of existing distributed ledgers. Like most mining‐based ledgers, IOTA also require solving a computational puzzle for every request to the ledger to avoid unwanted (ie, spam) content added to the ledger. We propose a system architecture that consumes the available computational resources of public volunteer devices for solving the expensive computational puzzles. We show that our proposed architecture can integrate with the global data and network layer of the IOTA ledger and acts as a middleware for providing computational resources from public volunteer devices to the IOTA network. 相似文献
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在工业物联网(IIoT,Industrial Internet of Things)环境中部署机器学习已成为石油和天然气行业研究最多的课题之一。提出了一种基于边缘计算的智能油气田物联网系统,该系统以边缘计算的机器学习模型为核心,结合智能RTU的采集传输数据,两者相互补充利用。通过卡尔曼滤波器(KF, Kalman Filter)实现对数据的异常值侦测,利用边缘计算对数据安全分析进行了对策研究,完成油气生产的动态在线监测和控制,有效提高油气生产管理的智能化水平,满足智能化气田井场的远程监控要求。 相似文献
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为解决电力物联网中海量设备接入诉求,云服务器集中处理架构逐渐向边缘计算模式演进,电力物联网演进为云、网、边、端四层模型.本文根据现有电力业务类型和传输需求,分析了电力物联网中边缘计算面临的技术难点,提出采用基于时隙的灵活调度,并结合自时隙结构和灵活时隙配置等方案改进边缘计算网络中的端到端时延;采用基于5QI配置及ARP... 相似文献
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随着人-机-物三元融合的程度逐渐加深,越来越多的轻量级、大规模的感知需求不断涌现. 为了适应多场景、大规模的部署需求,低成本、低功耗的感知方案愈受青睐. 然而,在低功耗感知领域仍有一些共性和特性挑战阻碍了其进一步发展和实际应用. 尽管先前有许多优秀的综述就某一具体感知模态或感知应用进行了整理,目前仍缺少对整个低功耗感知领域进行梳理的工作. 对近年来的低功耗感知进行了总结,介绍了包括惯性运动单元（IMU）、麦克风、射频信号在内的3种感知模态,总结了它们的相关挑战,从硬件和软件层面介绍了相关的解决思路. 最后,从表面感知、性质感知、生理感知、隐私感知保护等4个方面沿从表面及内里、从物体到人体、从感知到安全的方向介绍了感知方案在不同场景中的应用,并总结了展望以供探索. 相似文献
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Under industry 4.0, internet of things (IoT), especially radio frequency identification (RFID) technology, has been widely applied in manufacturing environment. This technology can bring convenience to production control and production transparency. Meanwhile, it generates increasing production data that are sometimes discrete, uncorrelated, and hard-to-use. Thus, an efficient analysis method is needed to utilize the invaluable data. This work provides an RFID-based production data analysis method for production control in IoT-enabled smart job-shops. The physical configuration and operation logic of IoT-enabled smart job-shop production are firstly described. Based on that, an RFID-based production data model is built to formalize and correlate the heterogeneous production data. Then, an eventdriven RFID-based production data analysis method is proposed to construct the RFID events and judge the process command execution. Furthermore, a near big data approach is used to excavate hidden information and knowledge from the historical production data. A demonstrative case is studied to verify the feasibility of the proposed model and methods. It is expected that our work will provide a different insight into the RFIDbased production data analysis. 相似文献
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Peter Papcun Erik Kajati Dominika Cupkova Jozef Mocnej Martin Miskuf Iveta Zolotova 《Concurrency and Computation》2020,32(13)
In this contribution, we define the concept of transferring intelligence from the cloud to the edge of the network and highlight its importance in modern IoT architectures. It leads to edge‐enabled IoT solutions, where intelligence is distributed to the end devices, ie, edge of the network. The IoT gateway is a middle‐ware between devices and cloud and facilitates computations and communication. We have encountered a research gap and decided to propose our solution on creating an edge‐enabled IoT gateway and evaluating its rating by functionality. In the beginning, we describe the general architecture where we demonstrate the location of the edge‐enabled IoT gateway in edge‐enabled solution. Then, we discuss a selection of major criteria, which could be implemented to any edge‐enabled solution. In the end, we evaluate our proposed edge‐enabled IoT gateway and also compare several scientific works focused on IoT gateway design according to our criteria. 相似文献
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移动边缘计算(mobile edge computing, MEC)已逐渐成为有效缓解数据过载问题的手段, 而在高人流密集的场景中, 固定在基站上的边缘服务器可能会因网络过载而无法提供有效的服务. 考虑到时延敏感型的通信需求, 双层无人机(unmanned aerial vehicle, UAV)的高机动性和易部署性成为任务计算卸载的理想选择, 其中配备计算资源的顶层无人机(top-UAV, T-UAV)可以为抓拍现场画面的底层UAV (bottom-UAV, B-UAV)提供卸载服务. B-UAV搭载拍摄装置, 可以选择本地计算或将部分任务卸载给T-UAV进行计算. 文中构建了双层UAV辅助的MEC系统模型, 并提出了一种DDPG-CPER (deep deterministic policy gradient offloading algorithm based on composite prioritized experience replay)新型计算卸载算法. 该算法综合考虑了决策变量的连续性以及在T-UAV资源调度和机动性等约束条件下优化了任务执行时延, 提高了处理效率和响应速度, 以保证现场观众对比赛的实时观看体验. 仿真实验结果表明, 所提算法表现出了比DDPG等基线算法更快的收敛速度, 能够显著降低处理延迟. 相似文献
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With the advent of the Internet of Things (IoT) paradigm, the cloud model is unable to offer satisfactory services for latency-sensitive and real-time applications due to high latency and scalability issues. Hence, an emerging computing paradigm named as fog/edge computing was evolved, to offer services close to the data source and optimize the quality of services (QoS) parameters such as latency, scalability, reliability, energy, privacy, and security of data. This article presents the evolution in the computing paradigm from the client-server model to edge computing along with their objectives and limitations. A state-of-the-art review of Cloud Computing and Cloud of Things (CoT) is presented that addressed the techniques, constraints, limitations, and research challenges. Further, we have discussed the role and mechanism of fog/edge computing and Fog of Things (FoT), along with necessitating amalgamation with CoT. We reviewed the several architecture, features, applications, and existing research challenges of fog/edge computing. The comprehensive survey of these computing paradigms offers the depth knowledge about the various aspects, trends, motivation, vision, and integrated architectures. In the end, experimental tools and future research directions are discussed with the hope that this study will work as a stepping-stone in the field of emerging computing paradigms. 相似文献