2022 IEEE 8th World Forum on Internet of Things (WF-IoT)最新文献

Towards a Threat Model and Security Analysis for Contact Tracing Applications 接触追踪应用的威胁模型与安全性分析

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152080

Raiful Hasan, Mohammad Aminul Hoque, Ragib Hasan

引用次数: 0

Enhancing LwM2M for Operational Cybersecurity and Situational Awareness in Industrial IoT 增强LwM2M在工业物联网中的运营网络安全和态势感知

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152151

Hanning Zhao, B. Silverajan

引用次数: 0

Timely Anomalous Behavior Detection in Fog-IoT Systems using Unsupervised Federated Learning 使用无监督联邦学习的Fog-IoT系统中的及时异常行为检测

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152055

Franklin Magalhães Ribeiro Junior, C. Kamienski

引用次数: 0

MIPS and RISC-V: Evaluating Virtualization Trade-off for Edge Devices MIPS和RISC-V:评估边缘设备的虚拟化权衡

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152084

C. Moratelli, R. Tiburski, S. J. Filho, Emanuel Moura, Everton de Matos, Fabiano Hessel

引用次数: 0

UNITE: Integrated IoT-Edge-Cloud Continuum UNITE:集成物联网边缘云连续体

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152292

M. Brzozowski, Peter Langendoerfer, A. Casaca, A. Grilo, Manuel Díaz, Cristian Martín, Jose Camacho, G. Landi

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A Proposal for Standardization of Internet of Musical Things (IoMusT) Environments 音乐物联网环境标准化的建议

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152123

Rômulo Vieira, F. Schiavoni, D. Muchaluat-Saade

引用次数: 0

A Reinforcement Learning-based Multipath Scheduling for Heterogeneous Wireless Networks 基于强化学习的异构无线网络多路径调度

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152217

Thanh Trung Nguyen, Minh Hai Vu, Phi-Le Nguyen, Phan-Thuan Do, Kien Nguyen

{"title":"A Reinforcement Learning-based Multipath Scheduling for Heterogeneous Wireless Networks","authors":"Thanh Trung Nguyen, Minh Hai Vu, Phi-Le Nguyen, Phan-Thuan Do, Kien Nguyen","doi":"10.1109/WF-IoT54382.2022.10152217","DOIUrl":"https://doi.org/10.1109/WF-IoT54382.2022.10152217","url":null,"abstract":"With the development and commercialization of new mobile network generations such as 5G and beyond, future communications are shifting from the traditional single-path paradigm to multipath transport protocols such as MPTCP and MPQUIC. One of the most critical issues in dealing with the multipath transmission is appropriately scheduling the pathways in order to guarantee QoS. Despite the fact that tremendous effort has been put into developing multipath scheduling algorithms, existing approaches suffer from several limitations when dealing with the network's dynamicity, including congestion and packet loss. In this paper, we propose a novel Reinforcement learning-based multipath transport protocol named SATO, which efficiently schedules multipath communication in heterogeneous wireless networks. By leveraging the self-learning ability of reinforcement learning, a node equipped with SATO can capture the environmental changes and select transmission paths based on an appropriate policy to optimize QoS. Our evaluation results show that SATO improves the QoS by 10%-15% in simulation and 12% in a real deployment compared to the state-of-the-art algorithm.","PeriodicalId":176605,"journal":{"name":"2022 IEEE 8th World Forum on Internet of Things (WF-IoT)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122122516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantifying the Trade-off Between Latency and Power Consumption in Bluetooth Low Energy and Its Mitigation by Using a Wake-Up Receiver 使用唤醒接收器量化低功耗蓝牙延迟与功耗之间的权衡

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152115

Maryam Dodangeh, M. S. O. Alink, B. Nauta

{"title":"Quantifying the Trade-off Between Latency and Power Consumption in Bluetooth Low Energy and Its Mitigation by Using a Wake-Up Receiver","authors":"Maryam Dodangeh, M. S. O. Alink, B. Nauta","doi":"10.1109/WF-IoT54382.2022.10152115","DOIUrl":"https://doi.org/10.1109/WF-IoT54382.2022.10152115","url":null,"abstract":"Bluetooth Low Energy (BLE) is one of the primary wireless communication protocols for Internet of Things (IoT) devices due to its inherently low energy consumption. BLE's duty-cycled scheme reduces energy consumption, but at the cost of latency. Wake-Up Receivers (WuRXs) have been proposed to mitigate this trade-off, but most attention seems to have been paid to the circuit design rather than assessing exactly how beneficial a WuRX could be. In this paper, we analyze the power consumption and latency impact of a $boldsymbol{200mu text{W WuRX}}$ added to a state-of-the-art commercial BLE transceiver for relevant IoT scenarios. The results show that the latency/power trade-off can be significantly relaxed for both peripheral and central devices in initiating a connection. Furthermore, if the role of central and peripherals can be changed (peripherals scan instead of advertise), the power consumption of the most energy-constrained devices can be further reduced in scenarios that require less than 200ms latency to initiate a connection. Also, for a maximum latency of 4s, a duty-cycled WuRX enables equal $boldsymbol{60}mu mathbf{W}$ average power consumption for both the central and peripheral devices. This is extremely useful when both ends of the link face similar battery constraints, as would be the case in many IoT scenarios.","PeriodicalId":176605,"journal":{"name":"2022 IEEE 8th World Forum on Internet of Things (WF-IoT)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117282792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mobile Energy Transmitter Scheduling in Energy Harvesting IoT Networks using Deep Reinforcement Learning 使用深度强化学习的能量收集物联网网络中的移动能量发射器调度

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152078

Aditya Singh, Rahul Rustagi, Surender Redhu, R. Hegde

{"title":"Mobile Energy Transmitter Scheduling in Energy Harvesting IoT Networks using Deep Reinforcement Learning","authors":"Aditya Singh, Rahul Rustagi, Surender Redhu, R. Hegde","doi":"10.1109/WF-IoT54382.2022.10152078","DOIUrl":"https://doi.org/10.1109/WF-IoT54382.2022.10152078","url":null,"abstract":"Maintaining adequate energy in low-powered Internet of Things (IoT) nodes is crucial for the development of several applications like smart homes, autonomous industries, etc. These IoT nodes exploit adaptive duty cycling techniques for the efficient utilization of energy resources. However, such adaptive duty cycling of IoT nodes results in their asynchronous operations thereby inducing energy holes in the network. These energy holes lead to information loss and poor quality of services of IoT networks. In this regard, energy harvesting using Mobile Energy Transmitters (MET) can improve the lifetime of an IoT network. In this work, we are introducing a metric named Age of Charging (AoC) metric to quantify the repetitive charging of power deficit IoT nodes. Energy-efficient scheduling of MET is proposed to minimize the expected average AoC such that the energy harvested by IoT nodes is maximized. In this regard, the optimization problem is first remodeled into a Markov decision process. Subsequently, a deep reinforcement learning algorithm is developed based upon the twin delayed deep deterministic policy gradient scheme for energy-efficient scheduling of MET in asynchronous IoT networks. The simulation results indicate that the proposed algorithm outperforms the conventional Deep Q-networks and soft-actor-critic algorithms. These results motivate the usage of MET-aided energy harvesting in self-sustaining IoT networks.","PeriodicalId":176605,"journal":{"name":"2022 IEEE 8th World Forum on Internet of Things (WF-IoT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128742549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Decentralized Identifier and Access Control Based Architecture for Privacy-Sensitive Data Distribution Service 基于分散标识符和访问控制的隐私敏感数据分发服务体系结构

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152128

Reiya Oku, K. Shiomoto, Y. Ohba

{"title":"Decentralized Identifier and Access Control Based Architecture for Privacy-Sensitive Data Distribution Service","authors":"Reiya Oku, K. Shiomoto, Y. Ohba","doi":"10.1109/WF-IoT54382.2022.10152128","DOIUrl":"https://doi.org/10.1109/WF-IoT54382.2022.10152128","url":null,"abstract":"In today's world, users' privacy-sensitive information is collected and managed by organizations and businesses. However, users do not have the option to choose the information that can be shared, nor can they track the sharing process. To address this limitation, we propose a privacy-sensitive information protection and management architecture that incorporates two emerging technologies: (1) Self-Sovereign Decentralized Identifier (DID), and (2) a policy description language to implement an automated access policy control. The proposed architecture defines a schema for privacy-sensitive information and leverages a policy description language to describe policies for handling the privacy-sensitive information to implement automated distribution of information. Users can prove the authenticity of their personal information without the need for centralized control, such as a public key infrastructure. The transaction records of accessing privacy-sensitive information can be tracked while keeping anonymization; no one can identify the real entity of the transacting party. We implemented a prototype system using Hyperledger Aries, Indy, and Sawtooth Projects for the DID management mechanisms, and Open Policy Agent for an automated access policy control.","PeriodicalId":176605,"journal":{"name":"2022 IEEE 8th World Forum on Internet of Things (WF-IoT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123813968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0