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CEF: Connecting Elaborate Federal QKD Networks CEF:连接精心设计的联邦 QKD 网络
Pub Date : 2024-09-18 DOI: arxiv-2409.12027
Alin-Bogdan Popa, Pantelimon Popescu
As QKD infrastructure becomes increasingly complex while being developed bydifferent actors (typically national governments), interconnecting them into afederated network of very elaborate sub-networks that maintain a high degree ofautonomy will pose unique challenges. We identify several such challenges andpropose a 4-step orchestration framework to address them based on centralizedresearch, target network planning, optimal QKD design, and protocolenforcement.
随着 QKD 基础设施变得越来越复杂,同时又由不同的参与者(通常是国家政府)开发,将它们互联成由非常复杂的子网络组成的联盟网络并保持高度自治将带来独特的挑战。我们确定了几个这样的挑战,并提出了一个基于集中研究、目标网络规划、最佳 QKD 设计和协议执行的四步协调框架来应对这些挑战。
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引用次数: 0
Age-of-Information and Energy Optimization in Digital Twin Edge Networks 数字双子边缘网络中的信息时代与能源优化
Pub Date : 2024-09-18 DOI: arxiv-2409.11799
Yongna Guo, Yaru Fu, Yan Zhang, Tony Q. S. Quek
In this paper, we study the intricate realm of digital twin synchronizationand deployment in multi-access edge computing (MEC) networks, with the aim ofoptimizing and balancing the two performance metrics Age of Information (AoI)and energy efficiency. We jointly consider the problems of edge association,power allocation, and digital twin deployment. However, the inherent randomnessof the problem presents a significant challenge in identifying an optimalsolution. To address this, we first analyze the feasibility conditions of theoptimization problem. We then examine a specific scenario involving a staticchannel and propose a cyclic scheduling scheme. This enables us to derive thesum AoI in closed form. As a result, the joint optimization problem of edgeassociation and power control is solved optimally by finding a minimum weightperfect matching. Moreover, we examine the one-shot optimization problem in thecontexts of both frequent digital twin migrations and fixed digital twindeployments, and propose an efficient online algorithm to address the generaloptimization problem. This algorithm effectively reduces system costs bybalancing frequent migrations and fixed deployments. Numerical resultsdemonstrate the effectiveness of our proposed scheme in terms of low cost andhigh efficiency.
本文研究了多接入边缘计算(MEC)网络中数字孪生同步和部署的复杂领域,旨在优化和平衡信息时代(AoI)和能效这两个性能指标。我们共同考虑了边缘关联、功率分配和数字孪生部署等问题。然而,该问题固有的随机性给确定最佳解决方案带来了巨大挑战。为了解决这个问题,我们首先分析了优化问题的可行性条件。然后,我们研究了一个涉及静态信道的特定场景,并提出了一种循环调度方案。这样,我们就能以封闭形式推导出 AoI 总和。因此,通过寻找最小权重的完美匹配,边缘关联和功率控制的联合优化问题得到了优化解决。此外,我们还研究了频繁数字孪生迁移和固定数字孪生部署情况下的单次优化问题,并提出了一种高效的在线算法来解决一般优化问题。该算法通过平衡频繁迁移和固定部署,有效降低了系统成本。数值结果证明了我们提出的方案在低成本和高效率方面的有效性。
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引用次数: 0
Blockchain-Enabled IoV: Secure Communication and Trustworthy Decision-Making 区块链支持的物联网:安全通信和可信决策
Pub Date : 2024-09-18 DOI: arxiv-2409.11621
Jingyi Sun, Qi Shi, Guodong Jin, Hao Xu, Erwu Liu
The Internet of Vehicles (IoV), which enables interactions between vehicles,infrastructure, and the environment, faces challenges in maintainingcommunication security and reliable automated decisions. This paper introducesa decentralized framework comprising a primary layer for managing inter-vehiclecommunication and a sub-layer for securing intra-vehicle interactions. Byimplementing blockchain-based protocols like Blockchain-integrated SecureAuthentication (BiSA) and Decentralized Blockchain Name Resolution (DBNR), theframework ensures secure, decentralized identity management and reliable dataexchanges, thereby supporting safe and efficient autonomous vehicle operations.
车联网(IoV)可实现车辆、基础设施和环境之间的互动,但在维护通信安全和可靠的自动决策方面面临挑战。本文介绍了一种去中心化框架,包括一个用于管理车辆间通信的主层和一个用于确保车辆内交互安全的子层。通过实施基于区块链的协议,如区块链集成安全认证(BiSA)和去中心化区块链名称解析(DBNR),该框架可确保安全、去中心化的身份管理和可靠的数据交换,从而支持安全高效的自动驾驶汽车运营。
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引用次数: 0
Dynamic DAG-Application Scheduling for Multi-Tier Edge Computing in Heterogeneous Networks 异构网络中多层边缘计算的动态 DAG 应用调度
Pub Date : 2024-09-17 DOI: arxiv-2409.10839
Xiang Li, Mustafa Abdallah, Yuan-Yao Lou, Mung Chiang, Kwang Taik Kim, Saurabh Bagchi
Edge computing is deemed a promising technique to execute latency-sensitiveapplications by offloading computation-intensive tasks to edge servers.Extensive research has been conducted in the field of end-device to edge servertask offloading for several goals, including latency minimization, energyoptimization, and resource optimization. However, few of them consider ourmobile computing devices (smartphones, tablets, and laptops) to be edgedevices. In this paper, we propose a novel multi-tier edge computing framework,which we refer to as M-TEC, that aims to optimize latency, reduce theprobability of failure, and optimize cost while accounting for the sporadicfailure of personally owned devices and the changing network conditions. Weconduct experiments with a real testbed and a real commercial CBRS 4G network,and the results indicate that M-TEC is capable of reducing the end-to-endlatency of applications by at least 8% compared to the best baseline under avariety of network conditions, while providing reliable performance at anaffordable cost.
通过将计算密集型任务卸载到边缘服务器,边缘计算被认为是一种执行延迟敏感型应用的前景广阔的技术。然而,很少有研究将我们的移动计算设备(智能手机、平板电脑和笔记本电脑)视为边缘设备。在本文中,我们提出了一种新颖的多层边缘计算框架(我们称之为 M-TEC),旨在优化延迟、降低故障概率和优化成本,同时考虑到个人拥有设备的零星故障和不断变化的网络条件。我们用一个真实的测试平台和一个真实的商用CBRS 4G网络进行了实验,结果表明M-TEC能够在各种网络条件下将应用的端到端延迟比最佳基线降低至少8%,同时以可承受的成本提供可靠的性能。
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引用次数: 0
LoRa Communication for Agriculture 4.0: Opportunities, Challenges, and Future Directions 用于农业 4.0 的 LoRa 通信:机遇、挑战和未来方向
Pub Date : 2024-09-17 DOI: arxiv-2409.11200
Lameya Aldhaheri, Noor Alshehhi, Irfana Ilyas Jameela Manzil, Ruhul Amin Khalil, Shumaila Javaid, Nasir Saeed, Mohamed-Slim Alouini
The emerging field of smart agriculture leverages the Internet of Things(IoT) to revolutionize farming practices. This paper investigates thetransformative potential of Long Range (LoRa) technology as a key enabler oflong-range wireless communication for agricultural IoT systems. By reviewingexisting literature, we identify a gap in research specifically focused onLoRa's prospects and challenges from a communication perspective in smartagriculture. We delve into the details of LoRa-based agricultural networks,covering network architecture design, Physical Layer (PHY) considerationstailored to the agricultural environment, and channel modeling techniques thataccount for soil characteristics. The paper further explores relaying androuting mechanisms that address the challenges of extending network coverageand optimizing data transmission in vast agricultural landscapes. Transitioningto practical aspects, we discuss sensor deployment strategies and energymanagement techniques, offering insights for real-world deployments. Acomparative analysis of LoRa with other wireless communication technologiesemployed in agricultural IoT applications highlights its strengths andweaknesses in this context. Furthermore, the paper outlines several futureresearch directions to leverage the potential of LoRa-based agriculture 4.0.These include advancements in channel modeling for diverse farmingenvironments, novel relay routing algorithms, integrating emerging sensortechnologies like hyper-spectral imaging and drone-based sensing, on-deviceArtificial Intelligence (AI) models, and sustainable solutions. This survey canguide researchers, technologists, and practitioners to understand, implement,and propel smart agriculture initiatives using LoRa technology.
新兴的智能农业领域利用物联网(IoT)彻底改变了耕作方式。本文研究了长距离(LoRa)技术作为农业物联网系统长距离无线通信的关键推动力所具有的变革潜力。通过回顾现有文献,我们发现了一个研究空白,即从智能农业的通信角度来看,LoRa 的前景和挑战是研究的重点。我们深入探讨了基于 LoRa 的农业网络的细节,包括网络架构设计、针对农业环境的物理层(PHY)考虑以及考虑土壤特性的信道建模技术。论文进一步探讨了中继和路由机制,以应对在广阔的农业景观中扩大网络覆盖和优化数据传输的挑战。在实际应用方面,我们讨论了传感器部署策略和能源管理技术,为现实世界的部署提供了启示。对 LoRa 与农业物联网应用中使用的其他无线通信技术进行了比较分析,突出了其在这方面的优势和劣势。此外,论文还概述了几项未来研究方向,以充分利用基于 LoRa 的农业 4.0 的潜力。这些方向包括针对不同农业环境的信道建模、新型中继路由算法、整合超光谱成像和无人机传感等新兴传感技术、设备上人工智能 (AI) 模型以及可持续解决方案等方面的进步。本调查报告可引导研究人员、技术人员和从业人员了解、实施和推动使用 LoRa 技术的智慧农业计划。
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引用次数: 0
Micro-orchestration of RAN functions accelerated in FPGA SoC devices 在 FPGA SoC 设备中加速 RAN 功能的微编排
Pub Date : 2024-09-17 DOI: arxiv-2409.11362
Nikolaos Bartzoudis, José Rubio Fernández, David López-Bueno, Godfrey Kibalya, Angelos Antonopoulos
This work provides a vision on how to tackle the underutilization of computeresources in FPGA SoC devices used across 5G and edge computinginfrastructures. A first step towards this end is the implementation of aresource management layer able to migrate and scale functions in such devices,based on context events. This layer sets the basis to design a hierarchicaldata-driven micro-orchestrator in charge of providing the lifecycle managementof functions in FPGA SoC devices. In the O-RAN context, the micro-orchestratoris foreseen to take the form of an xApp/rApp tandem trained with RAN trafficand context data.
这项工作为如何解决 5G 和边缘计算基础设施中使用的 FPGA SoC 器件中计算机资源利用率不足的问题提供了一个愿景。实现这一目标的第一步是实施一个资源管理层,该层能够根据上下文事件在此类设备中迁移和扩展功能。该层为设计分层数据驱动的微协调器奠定了基础,该协调器负责提供 FPGA SoC 设备中功能的生命周期管理。在 O-RAN 环境中,预计微协调器将采用 xApp/rApp 串联的形式,并接受 RAN 流量和上下文数据的培训。
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引用次数: 0
Designing Reliable Virtualized Radio Access Networks 设计可靠的虚拟化无线接入网络
Pub Date : 2024-09-17 DOI: arxiv-2409.11334
Ufuk Usubütün, André Gomes, Shankaranarayanan Puzhavakath Narayanan, Matti Hiltunen, Shivendra Panwar
As virtualization of Radio Access Networks (RAN) gains momentum,understanding the impact of hardware and software disaggregation on resiliencybecomes critical to meet the high availability requirements of mobile networks.Our paper presents an analytical model, using continuous time Markov chains, tostudy the impact of virtualization and disaggregation on RAN availability. Ourevaluation, assuming typical parameter value ranges for failure and recoveryrates, points to containerized platform reliability as a constraint on vRANavailability. We also find that with active-passive replication, increasinghardware replication factor beyond 2 may not bring any benefits unless failovertimes are reduced. We also compare the reliability of centralized anddistributed virtualized central units.
随着无线接入网(RAN)虚拟化的发展,了解硬件和软件分解对弹性的影响对于满足移动网络的高可用性要求至关重要。我们的论文提出了一个分析模型,利用连续时间马尔可夫链研究虚拟化和分解对 RAN 可用性的影响。假定故障和恢复速率的典型参数值范围,结果表明容器化平台的可靠性是对 vRAN 可用性的限制。我们还发现,在主动-被动复制的情况下,将硬件复制系数提高到 2 以上可能不会带来任何好处,除非故障切换时间缩短。我们还比较了集中式和分布式虚拟化中央单元的可靠性。
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引用次数: 0
Security, Trust and Privacy challenges in AI-driven 6G Networks 人工智能驱动的 6G 网络面临的安全、信任和隐私挑战
Pub Date : 2024-09-16 DOI: arxiv-2409.10337
Helena Rifa-Pous, Victor Garcia-Font, Carlos Nunez-Gomez, Julian Salas
The advent of 6G networks promises unprecedented advancements in wirelesscommunication, offering wider bandwidth and lower latency compared to itspredecessors. This article explores the evolving infrastructure of 6G networks,emphasizing the transition towards a more disaggregated structure and theintegration of artificial intelligence (AI) technologies. Furthermore, itexplores the security, trust and privacy challenges and attacks in 6G networks,particularly those related to the use of AI. It presents a classification ofnetwork attacks stemming from its AI-centric architecture and explorestechnologies designed to detect or mitigate these emerging threats. The paperconcludes by examining the implications and risks linked to the utilization ofAI in ensuring a robust network.
6G 网络的出现有望为无线通信带来前所未有的进步,与前代网络相比,它能提供更宽的带宽和更低的延迟。本文探讨了 6G 网络不断发展的基础设施,强调了向更分散结构的过渡以及人工智能 (AI) 技术的集成。此外,文章还探讨了 6G 网络中的安全、信任和隐私挑战与攻击,特别是与使用人工智能有关的挑战与攻击。论文对源自以人工智能为中心的架构的网络攻击进行了分类,并探索了旨在检测或缓解这些新兴威胁的技术。论文最后探讨了利用人工智能确保网络稳健所带来的影响和风险。
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引用次数: 0
Li-MSD: A lightweight mitigation solution for DAO insider attack in RPL-based IoT Li-MSD:基于 RPL 的物联网中 DAO 内部攻击的轻量级缓解方案
Pub Date : 2024-09-16 DOI: arxiv-2409.10020
Abhishek Verma, Sachin Kumar Verma, Avinash Chandra Pandey, Jyoti Grover, Girish Sharma
Many IoT applications run on a wireless infrastructure supported byresource-constrained nodes which is popularly known as Low-Power and LossyNetworks (LLNs). Currently, LLNs play a vital role in digital transformation ofindustries. The resource limitations of LLNs restrict the usage of traditionalrouting protocols and therefore require an energy-efficient routing solution.IETF's Routing Protocol for Low-power Lossy Networks (RPL, pronounced 'ripple')is one of the most popular energy-efficient protocols for LLNs, specified inRFC 6550. In RPL, Destination Advertisement Object (DAO) control message istransmitted by a child node to pass on its reachability information to itsimmediate parent or root node. An attacker may exploit the insecure DAO sendingmechanism of RPL to perform 'DAO insider attack' by transmitting DAO multipletimes. This paper shows that an aggressive DAO insider attacker can drasticallydegrade network performance. We propose a Lightweight Mitigation Solution forDAO insider attack, which is termed as 'Li-MSD'. Li-MSD uses a blacklistingstrategy to mitigate the attack and restore RPL performance, significantly. Byusing simulations, it is shown that Li-MSD outperforms the existing solution inthe literature.
许多物联网应用都运行在由资源受限节点支持的无线基础设施上,这就是俗称的低功耗和低损耗网络(LLN)。目前,LLN 在各行业的数字化转型中发挥着至关重要的作用。IETF 的低功耗有损网络路由协议(RPL,读作 "涟漪")是最流行的低功耗有损网络节能协议之一,由 RFC 6550 规定。在 RPL 中,子节点会发送目的地广告对象(DAO)控制消息,将其可达性信息传递给其父节点或根节点。攻击者可能会利用 RPL 不安全的 DAO 发送机制,通过多次发送 DAO 来实施 "DAO 内部攻击"。本文表明,攻击性 DAO 内部攻击者会大幅降低网络性能。我们提出了一种针对 DAO 内部攻击的轻量级缓解方案,称为 "Li-MSD"。Li-MSD 使用黑名单策略来缓解攻击,并显著恢复 RPL 性能。模拟结果表明,Li-MSD 优于现有的文献解决方案。
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引用次数: 0
Resilient UAVs Location Sharing Service Based on Information Freshness and Opportunistic Deliveries 基于信息新鲜度和机会性投递的弹性无人机位置共享服务
Pub Date : 2024-09-16 DOI: arxiv-2409.10708
Agnaldo Batista, Aldri Santos
Unmanned aerial vehicles (UAV) have been recognized as a versatile platformfor a wide range of services. During the flight, these vehicles must avoidcollisions to operate safely. In this way, they demand to keep spatialawareness, i.e., to know others in their coverage area. However, mobility andpositioning aspects hamper building UAV network infrastructure to supportreliable basic services. Thus, such vehicles call for a location service withup-to-date information resilient to false location injection threats. This workproposes FlySafe, a resilient UAVs location sharing service that employsopportunistic approaches to deliver UAVs' location. FlySafe takes into accountthe freshness of UAVs' location to maintain their spatial awareness. Further,it counts on the age of the UAV's location information to trigger devicediscovery. Simulation results showed that FlySafe achieved spatial awareness upto 94.15% of UAV operations, being resilient to~false locations injected in thenetwork. Moreover, the accuracy in device discovery achieved 94.53% with alocation error of less than 2 m.
无人驾驶飞行器(UAV)已被公认为可提供多种服务的多功能平台。在飞行过程中,这些飞行器必须避免碰撞才能安全运行。因此,它们需要保持空间感知,即了解其覆盖区域内的其他飞行器。然而,移动性和定位问题阻碍了无人飞行器网络基础设施的建设,从而无法支持可靠的基本服务。因此,这类飞行器需要一种具有最新信息的定位服务,以抵御虚假位置注入的威胁。本研究提出的 FlySafe 是一种有弹性的无人机位置共享服务,它采用机会主义方法来提供无人机的位置。FlySafe 考虑了无人机位置的新鲜度,以保持其空间感知能力。此外,它还依靠无人机位置信息的年龄来触发设备发现。仿真结果表明,FlySafe 在高达 94.15% 的无人机操作中实现了空间感知,并能抵御网络中注入的虚假位置。此外,设备发现的准确率达到 94.53%,定位误差小于 2 米。
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引用次数: 0
期刊
arXiv - CS - Networking and Internet Architecture
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