Pub Date : 2024-11-11DOI: 10.1109/jiot.2024.3496113
Chengzhang Li, Qingyu Liu, Shaoran Li, Yongce Chen, Y. Thomas Hou, Wenjing Lou, Sastry Kompella
{"title":"Scheduling With Soft Age of Information Deadlines","authors":"Chengzhang Li, Qingyu Liu, Shaoran Li, Yongce Chen, Y. Thomas Hou, Wenjing Lou, Sastry Kompella","doi":"10.1109/jiot.2024.3496113","DOIUrl":"https://doi.org/10.1109/jiot.2024.3496113","url":null,"abstract":"","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":null,"pages":null},"PeriodicalIF":10.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-11DOI: 10.1109/jiot.2024.3495537
Wajahat Ali, Ikram Ud Din, Ahmad Almogren, Joel J. P. C. Rodrigues
{"title":"GreenTrust: Trust Assessment Using Ensemble Learning in Internet of Microgrid Things","authors":"Wajahat Ali, Ikram Ud Din, Ahmad Almogren, Joel J. P. C. Rodrigues","doi":"10.1109/jiot.2024.3495537","DOIUrl":"https://doi.org/10.1109/jiot.2024.3495537","url":null,"abstract":"","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":null,"pages":null},"PeriodicalIF":10.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-11DOI: 10.1109/jiot.2024.3494035
Gaoyuan Zhang, Pengfei Wang, Weiguang Wang, Yu Mu, Yiwei Li, Jie Tang, Huanhuan Song, Hong Wen, Shahid Mumtaz
{"title":"An Information Theoretic Approach to Distributed Detection for Mobile Wireless Sensor Networks Under Byzantine Attack in Entirely Unknown or Complicated Environment: Design, Analysis, and Evaluation of the Attack Strategy","authors":"Gaoyuan Zhang, Pengfei Wang, Weiguang Wang, Yu Mu, Yiwei Li, Jie Tang, Huanhuan Song, Hong Wen, Shahid Mumtaz","doi":"10.1109/jiot.2024.3494035","DOIUrl":"https://doi.org/10.1109/jiot.2024.3494035","url":null,"abstract":"","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":null,"pages":null},"PeriodicalIF":10.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-11DOI: 10.1109/jiot.2024.3493611
Ruikang Zhong, Xidong Mu, Mona Jaber, Yuanwei Liu
{"title":"Enabling Distributed Generative Artificial Intelligence in 6G: Mobile Edge Generation","authors":"Ruikang Zhong, Xidong Mu, Mona Jaber, Yuanwei Liu","doi":"10.1109/jiot.2024.3493611","DOIUrl":"https://doi.org/10.1109/jiot.2024.3493611","url":null,"abstract":"","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":null,"pages":null},"PeriodicalIF":10.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-11DOI: 10.1109/jiot.2024.3486378
Yishan Chen, Jie Wu, Shumei Ye, Wei Li, Zhonghui Xu
{"title":"Budget-Constrained Resource Allocation and Pricing in VEC: A MSMLMF Stackelberg Game With Contract Incentive Mechanism","authors":"Yishan Chen, Jie Wu, Shumei Ye, Wei Li, Zhonghui Xu","doi":"10.1109/jiot.2024.3486378","DOIUrl":"https://doi.org/10.1109/jiot.2024.3486378","url":null,"abstract":"","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":null,"pages":null},"PeriodicalIF":10.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-11DOI: 10.1109/jiot.2024.3495212
Jiexin Zhang, Shu Xu, Zhengming Zhang, Chunguo Li, Luxi Yang
{"title":"A Denoising Diffusion Probabilistic Model-Based Digital Twinning of ISAC MIMO Channel","authors":"Jiexin Zhang, Shu Xu, Zhengming Zhang, Chunguo Li, Luxi Yang","doi":"10.1109/jiot.2024.3495212","DOIUrl":"https://doi.org/10.1109/jiot.2024.3495212","url":null,"abstract":"","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":null,"pages":null},"PeriodicalIF":10.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-11DOI: 10.1109/jiot.2024.3496298
Kiran Saleem, Lei Wang, Rana Zeeshan Ahmed, Ahmad Almadhor, Gautam Srivastava, Thippa Reddy Gadekallu
{"title":"Synergy Optimized Routing Protocol for Multi-Objective Optimization in Underwater Communication Networks","authors":"Kiran Saleem, Lei Wang, Rana Zeeshan Ahmed, Ahmad Almadhor, Gautam Srivastava, Thippa Reddy Gadekallu","doi":"10.1109/jiot.2024.3496298","DOIUrl":"https://doi.org/10.1109/jiot.2024.3496298","url":null,"abstract":"","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":null,"pages":null},"PeriodicalIF":10.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-07DOI: 10.1109/JIOT.2024.3409169
Jiaming Cheng;Ni Li;Ban Wang;Shuhui Bu;Ming Zhou
Multiagent reinforcement learning (MARL) algorithms have shown promise in the Internet of Things devices, such as unmanned aerial vehicle (UAV) swarms. However, the dynamic nature of large-scale swarm systems, with constantly changing numbers of agents and observed neighbors, poses challenges for MARL adaptation. Existing approaches struggle to extract meaningful features and require a substantial number of experience samples, resulting in low-sample efficiency and high-risk ratios. Moreover, these methods are effective in task-specific scenarios and fail to perform well in multitask settings. To overcome these challenges, this study proposes a high-sample efficient and scalable MARL approach for UAV swarms. The proposed approach incorporates a hypernetwork-based embedding attention (HEA) mechanism for the state representation of the policy network and a multiencoder gated transformer with a multilayer attention (MEGTrMA) mechanism for the value function. The HEA automatically generates weights for each agent to adapt to dynamic scenarios, enhancing representation ability and adaptability while reducing the cost of trial and error for improved learning efficiency. The MEGTrMA captures the contribution of each agent to the global observation, establishing long-term dependencies among them and facilitating stable policy learning in multitask scenarios. Simulation results demonstrate that the proposed method is scalable, generalizable, and high-sample efficient. Compared to learning from scratch, our method significantly reduces training time to less than one-fifth of the initial time by progressively increasing the number of UAVs and their corresponding neighbors. Additionally, the average number of collisions is reduced by an order of magnitude for large-scale UAV swarms.
{"title":"High-Sample-Efficient Multiagent Reinforcement Learning for Navigation and Collision Avoidance of UAV Swarms in Multitask Environments","authors":"Jiaming Cheng;Ni Li;Ban Wang;Shuhui Bu;Ming Zhou","doi":"10.1109/JIOT.2024.3409169","DOIUrl":"https://doi.org/10.1109/JIOT.2024.3409169","url":null,"abstract":"Multiagent reinforcement learning (MARL) algorithms have shown promise in the Internet of Things devices, such as unmanned aerial vehicle (UAV) swarms. However, the dynamic nature of large-scale swarm systems, with constantly changing numbers of agents and observed neighbors, poses challenges for MARL adaptation. Existing approaches struggle to extract meaningful features and require a substantial number of experience samples, resulting in low-sample efficiency and high-risk ratios. Moreover, these methods are effective in task-specific scenarios and fail to perform well in multitask settings. To overcome these challenges, this study proposes a high-sample efficient and scalable MARL approach for UAV swarms. The proposed approach incorporates a hypernetwork-based embedding attention (HEA) mechanism for the state representation of the policy network and a multiencoder gated transformer with a multilayer attention (MEGTrMA) mechanism for the value function. The HEA automatically generates weights for each agent to adapt to dynamic scenarios, enhancing representation ability and adaptability while reducing the cost of trial and error for improved learning efficiency. The MEGTrMA captures the contribution of each agent to the global observation, establishing long-term dependencies among them and facilitating stable policy learning in multitask scenarios. Simulation results demonstrate that the proposed method is scalable, generalizable, and high-sample efficient. Compared to learning from scratch, our method significantly reduces training time to less than one-fifth of the initial time by progressively increasing the number of UAVs and their corresponding neighbors. Additionally, the average number of collisions is reduced by an order of magnitude for large-scale UAV swarms.","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cooperative Resource Scheduling for Environment Sensing in Satellite-Terrestrial Vehicular Networks","authors":"Mingcheng He, Huaqing Wu, Xuemin Shen, Weihua Zhuang","doi":"10.1109/jiot.2024.3493613","DOIUrl":"https://doi.org/10.1109/jiot.2024.3493613","url":null,"abstract":"","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":null,"pages":null},"PeriodicalIF":10.6,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142598267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-07DOI: 10.1109/jiot.2024.3493208
Jiaqin Wang, Kai Liu, Hantao Li, Qiang Gao, Xiangfen Wang
{"title":"Vehicle Trajectory Prediction Using Hierarchical LSTM and Graph Attention Network","authors":"Jiaqin Wang, Kai Liu, Hantao Li, Qiang Gao, Xiangfen Wang","doi":"10.1109/jiot.2024.3493208","DOIUrl":"https://doi.org/10.1109/jiot.2024.3493208","url":null,"abstract":"","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":null,"pages":null},"PeriodicalIF":10.6,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：