IEEE Internet of Things Magazine最新文献_第6页

IEEE Internet of Things Magazine Pub Date : 2024-01-01 DOI: 10.1109/miot.2024.10397579

引用次数: 0

Edge Intelligence Empowered Vehicular Metaverse: Key Design Aspects and Future Directions 边缘智能驱动的车载元宇宙：关键设计和未来方向

IEEE Internet of Things Magazine Pub Date : 2024-01-01 DOI: 10.1109/IOTM.001.2300078

Latif U. Khan, Ahmed Elhagry, Mohsen Guizani, Abdulmotaleb El Saddik

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Mentor's Musings on Architectural & Standardization Imperatives for NTN to Enable Ubiquitous Global Connectivity Mentor 对 NTN 实现无处不在的全球连接所需的架构和标准化的思考

IEEE Internet of Things Magazine Pub Date : 2024-01-01 DOI: 10.1109/miot.2024.10397574

N. Narang

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Goal-Oriented Communications for the IoT: System Design and Adaptive Resource Optimization 面向物联网的目标导向型通信：系统设计与自适应资源优化

IEEE Internet of Things Magazine Pub Date : 2023-10-21 DOI: 10.1109/IOTM.001.2300163

P. Lorenzo, M. Merluzzi, Francesco Binucci, Claudio Battiloro, P. Banelli, E. Strinati, S. Barbarossa

{"title":"Goal-Oriented Communications for the IoT: System Design and Adaptive Resource Optimization","authors":"P. Lorenzo, M. Merluzzi, Francesco Binucci, Claudio Battiloro, P. Banelli, E. Strinati, S. Barbarossa","doi":"10.1109/IOTM.001.2300163","DOIUrl":"https://doi.org/10.1109/IOTM.001.2300163","url":null,"abstract":"Internet of Things (IoT) applications combine sensing, wireless communication, intelligence, and actuation, enabling the interaction among heterogeneous devices that collect and process considerable amounts of data. However, the effectiveness of IoT applications needs to face the limitation of available resources, including spectrum, energy, computing, learning and inference capabilities. This article challenges the prevailing approach to IoT communication, which prioritizes the usage of resources in order to guarantee perfect recovery, at the bit level, of the data transmitted by the sensors to the central unit. We propose a novel approach, called goal-oriented (GO) IoT system design, that transcends traditional bit-related metrics and focuses directly on the fulfillment of the goal motivating the exchange of data. The improve-ment is then achieved through a comprehensive system optimization, integrating sensing, communication, computation, learning, and control. We provide numerical results demonstrating the practical applications of our methodology in compelling use cases such as edge inference, cooperative sensing, and federated learning. These examples highlight the effectiveness and real-world implications of our pro-posed approach, with the potential to revolutionize IoT systems.","PeriodicalId":235472,"journal":{"name":"IEEE Internet of Things Magazine","volume":"72 1","pages":"26-32"},"PeriodicalIF":0.0,"publicationDate":"2023-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139315724","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

Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks 面向未来无线网络的多代理强化学习中的新兴通信

IEEE Internet of Things Magazine Pub Date : 2023-09-12 DOI: 10.1109/IOTM.001.2300102

Marwa Chafii, Salmane Naoumi, Réda Alami, Ebtesam Almazrouei, M. Bennis, M. Debbah

{"title":"Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks","authors":"Marwa Chafii, Salmane Naoumi, Réda Alami, Ebtesam Almazrouei, M. Bennis, M. Debbah","doi":"10.1109/IOTM.001.2300102","DOIUrl":"https://doi.org/10.1109/IOTM.001.2300102","url":null,"abstract":"In different wireless network scenarios, multiple network entities need to cooperate in order to achieve a common task with minimum delay and energy consumption. Future wireless networks mandate exchanging high dimensional data in dynamic and uncertain environments, therefore implementing communication control tasks becomes challenging and highly complex. Multi-agent reinforcement learning with emergent communication (EC-MARL) is a promising solution to address high dimensional continuous control problems with partially observable states in a cooperative fashion where agents build an emergent communication protocol to solve complex tasks. This article articulates the importance of EC-MARL within the context of future 6G wireless networks, which imbues autonomous decision-making capabilities into network entities to solve complex tasks such as autonomous driving, robot navigation, flying base stations network planning, and smart city applications. An overview of EC-MARL algorithms and their design criteria are provided while presenting use cases and research opportuni-ties on this emerging topic.","PeriodicalId":235472,"journal":{"name":"IEEE Internet of Things Magazine","volume":"53 1","pages":"18-24"},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139340963","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

Comsoc Training Comsoc培训

IEEE Internet of Things Magazine Pub Date : 2023-09-01 DOI: 10.1109/miot.2023.10255790

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Comsoc Membership Comsoc会员

IEEE Internet of Things Magazine Pub Date : 2023-09-01 DOI: 10.1109/miot.2023.10255785

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DRL-Assisted Network Selection for Federated IoV 基于drl的联邦车联网网络选择

IEEE Internet of Things Magazine Pub Date : 2023-09-01 DOI: 10.1109/iotm.001.2300080

Ganggui Wang, Celimuge Wu, Zhaoyang Du, Tsutomu Yoshinaga, Rui Yin, Lei Zhong

引用次数: 0

Social Metaverse: Challenges and Solutions 社交虚拟世界:挑战与解决方案

IEEE Internet of Things Magazine Pub Date : 2023-09-01 DOI: 10.1109/iotm.001.2200266

Wang, Yuntao, Su, Zhou, Yan, Miao

{"title":"Social Metaverse: Challenges and Solutions","authors":"Wang, Yuntao, Su, Zhou, Yan, Miao","doi":"10.1109/iotm.001.2200266","DOIUrl":"https://doi.org/10.1109/iotm.001.2200266","url":null,"abstract":"Social metaverse is a shared digital space combining a series of interconnected virtual worlds for users to play, shop, work, and socialize. In parallel with the advances of artificial intelligence (AI) and growing awareness of data privacy concerns, federated learning (FL) is promoted as a paradigm shift towards privacy-preserving AI-empowered social metaverse. However, challenges including privacy-utility tradeoff, learning reliability, and AI model thefts hinder the deployment of FL in real metaverse applications. In this article, we exploit the pervasive social ties among users/avatars to advance a social-aware hierarchical FL framework, i.e., SocialFL for a better privacy-utility tradeoff in the social metaverse. Then, an aggregator-free robust FL mechanism based on blockchain is devised with a new block structure and an improved consensus protocol featured with on/off-chain collaboration. Furthermore, based on digital watermarks, an automatic federated AI (FedAI) model ownership provenance mechanism is designed to prevent AI model thefts and collusive avatars in social metaverse. Experimental findings validate the feasibility and effectiveness of proposed framework. Finally, we envision promising future research directions in this emerging area.","PeriodicalId":235472,"journal":{"name":"IEEE Internet of Things Magazine","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135895726","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: 3

Zero-Energy Devices Empowered 6G Networks: Opportunities, Key Technologies, and Challenges 零能耗设备支持6G网络:机遇、关键技术和挑战

IEEE Internet of Things Magazine Pub Date : 2023-09-01 DOI: 10.1109/iotm.001.2200235

Shimaa Naser, Lina Bariah, Sami Muhaidat, Ertugrul Basar

{"title":"Zero-Energy Devices Empowered 6G Networks: Opportunities, Key Technologies, and Challenges","authors":"Shimaa Naser, Lina Bariah, Sami Muhaidat, Ertugrul Basar","doi":"10.1109/iotm.001.2200235","DOIUrl":"https://doi.org/10.1109/iotm.001.2200235","url":null,"abstract":"The sixth generation (6G) of wireless networks are envisioned to support a plethora of human-centric applications and offer connectivity to a massive number of devices with diverse requirements. Nevertheless, with the rapid growth of the number of connected devices as well as the ever-increasing network traffic, network energy consumption has become a major challenge. Additionally, 6G is expected to catalyze the emergence of new applications that are characterized by their harsh environmental conditions, with ultra-small and low-cost wireless devices. Therefore, there is a pressing need for developing sustainable solutions that take into consideration all these requirements in order to realize the full potential of 6G networks. Within this context, zero-energy devices (ZEDs) have emerged as a prominent solution for the next generation green communication architecture. Such devices eliminate the need for recharging plugins and replacing batteries by integrating disruptive technologies, such as radio frequency energy harvesting, backscatter communications, low power computing, and ultra-low power receivers. Motivated by this, this article provides an in-depth review of the existing literature on the newly emerging ZEDs for future networks. We further identify different relevant use cases and provide an extensive overview on the key enabling technologies and their requirements for realizing ZEDs-empowered networks. Finally, we discuss potential future research directions and challenges that are envisioned to enhance the performance and efficiency of ZEDs-empowered networks.","PeriodicalId":235472,"journal":{"name":"IEEE Internet of Things Magazine","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135388229","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: 4