2021 5th International Conference on Internet of Things and Applications (IoT)最新文献_第2页

Using the Cuckoo Algorithm to Optimizing the Response Time and Energy Consumption Cost of Fog Nodes by Considering Collaboration in the Fog Layer 考虑雾层协同的布谷鸟算法优化雾节点的响应时间和能耗成本

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469722

Shakoor Vakilian, Seyed Vahid Moravvej, A. Fanian

{"title":"Using the Cuckoo Algorithm to Optimizing the Response Time and Energy Consumption Cost of Fog Nodes by Considering Collaboration in the Fog Layer","authors":"Shakoor Vakilian, Seyed Vahid Moravvej, A. Fanian","doi":"10.1109/IoT52625.2021.9469722","DOIUrl":"https://doi.org/10.1109/IoT52625.2021.9469722","url":null,"abstract":"With the growth of the Internet of Things (IoT) technology, Fog computing has moved the processing capability of generated data near IoT devices and objects. Therefore, fog nodes able to reduce the response time to high volumes of generated data. As fog nodes extend from the edge of the network to the cloud, their cooperation in workload processing can lighten processing queues and further reduce response time. On the other hand, by increasing processing data in fog nodes, the fog layer’s energy consumption cost is increased. Therefore, to investigate this issue, in this paper, an optimization problem for collaboration between fog nodes is presented to reduce the response time and energy consumption cost. In this work, the goal is to make a balance between these two parameters. Then, the proposed problem is solved using the Cuckoo evolutionary algorithm. The evaluation results show that the proposed solution in solving the problem has been able to have significant impacts in reducing response time and energy consumption cost compared to competing works.","PeriodicalId":192646,"journal":{"name":"2021 5th International Conference on Internet of Things and Applications (IoT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129014600","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: 22

A Survey on Deep Learning Applications for Electric Vehicles in Micro Grids 深度学习在微电网电动汽车中的应用综述

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469715

Pooya Tahmasebi Zadeh, Maryam Joudaki, Alireza Ansari

{"title":"A Survey on Deep Learning Applications for Electric Vehicles in Micro Grids","authors":"Pooya Tahmasebi Zadeh, Maryam Joudaki, Alireza Ansari","doi":"10.1109/IoT52625.2021.9469715","DOIUrl":"https://doi.org/10.1109/IoT52625.2021.9469715","url":null,"abstract":"Due to the increasing demand for energy and the environmental and economic challenges of reducing air pollution, while a large portion of the energy required comes from fossil fuels, distributed renewable energy generation systems seem to be viable solutions to this problem. Micro Grids are considered as the central part of the distributed generation system’s body, while their management and control are of great importance. In recent years, the management and control of Micro Grids, their connection time to the leading network, and their disconnection time have been considered by many researchers since the optimization of these materials directly impacts economic benefits and consumer costs. In the interest of electric vehicles’ nature and characteristics, they are connected to the power grid at the distribution level. The set of electric vehicles that are connected to the Micro Grids can cause problems for the grid to operate, such as voltage drops, increased losses, and unwanted clockwork during off-peak hours. In the last two years, deep learning methods have been used to address these challenges and other security and management challenges. This article surveys the applications of Deep Learning-based methods in Electric vehicles as a part of the Micro Grid.","PeriodicalId":192646,"journal":{"name":"2021 5th International Conference on Internet of Things and Applications (IoT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123203161","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

Smart Urban Management and IoT; Paradigm of E-Governance and Technologies in Developing Communities 智慧城市管理与物联网;发展中社区的电子政务范式与技术

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469713

Mahdi Suleimany

{"title":"Smart Urban Management and IoT; Paradigm of E-Governance and Technologies in Developing Communities","authors":"Mahdi Suleimany","doi":"10.1109/IoT52625.2021.9469713","DOIUrl":"https://doi.org/10.1109/IoT52625.2021.9469713","url":null,"abstract":"Technologies as one of the factors of smart urban governance have a critical role in the accomplishment and development of smart cities. IoT and ICTs as an evolving technology can assist governmental agencies in integrated urban management. Therefore, this study was designed to answer two research questions of what application does IoT and generally ICT have in smart urban governance? and what is their impact on citizens’ participation? For comprehensive analysis of scientific documents and empirical evidence, two methods of review study and survey study on 400 residents of Isfahan city were used. The results of the review study show that online services, monitoring, data gathering, public e-participation, and cooperation enhancement are the five potential uses of IoT and ICTs in smart urban administration. While survey outputs depict that for efficient use of technology in management, the simultaneous development of technical and social infrastructure is essential. In conclusion, the promotion of the IoT, like other technologies in smart urban governance, needs the proper association with management, social, cultural, economic, and environmental systems. Hence, the present study provides recommendations to develop this alignment and to facilitate the use of IoT in urban governance.","PeriodicalId":192646,"journal":{"name":"2021 5th International Conference on Internet of Things and Applications (IoT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128566178","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: 2

Filter Based Time-Series Anomaly Detection in AMI using AI Approaches 基于滤波的AMI时间序列异常检测

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469717

Alireza Rahimi, Afshin Shahrestani, Sina Ramezani, P. Zamani, Soroush Omidvar Tehrani, M. Moghaddam

引用次数: 3

Distributed Rule Anomaly Detection in SDN-based IoT 基于sdn的物联网分布式规则异常检测

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469714

Rasool Kiani, Ali Bohlooli

{"title":"Distributed Rule Anomaly Detection in SDN-based IoT","authors":"Rasool Kiani, Ali Bohlooli","doi":"10.1109/IoT52625.2021.9469714","DOIUrl":"https://doi.org/10.1109/IoT52625.2021.9469714","url":null,"abstract":"The considerable growth of the number of networked devices in the world has led to the development of various and new programs in the field of IoT, which are often limited to the current network infrastructure, on the other hand, force the network administrator to implement complex network policies manually. Due to this congestion of equipment as well as the increasing complexity of traditional network configuration, Software-Defined Networks (SDNs) facilitate network management by separating the control and data layers and creating network rules. For these facilities, these networks appear to be a good infrastructure for IoT networks will enable network programming to develop new and more efficient services to meet real needs. In addition, the variety of IoT equipment can increase complex and inconsistent network rules in SDN-based switches, making network management difficult. Accordingly, in this paper, we will try to model the behavior of anomaly rules distributed in software-defined networks that have been created by different apps in the Internet of Things. It can identify their relationship with other rules in the network and avoid registering them.","PeriodicalId":192646,"journal":{"name":"2021 5th International Conference on Internet of Things and Applications (IoT)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134173605","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: 1

IoT Performance Improving for Indoor and Outdoor Environments 室内和室外环境的物联网性能改进

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469604

M.Shafiee Neyestanak, Ehsan Azizi, Elham Salarpour

引用次数: 0

Performance Analysis of Decoupled UL/DL User Association in Wireless-Powered Massive MIMO-Aided Heterogeneous Networks 无线供电大规模mimo辅助异构网络中解耦UL/DL用户关联的性能分析

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469603

Sepideh Haghgoy, M. Mohammadi, Z. Mobini

引用次数: 1

IoT based smart surveillance monitoring by using model-based human action recognition design 基于物联网的智能监控监控采用基于模型的人体动作识别设计

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469601

Amir Reza Ebrahimy, A. NaghshNilchi, A. Monadjemi, Mohmmad SaeidEhsani

{"title":"IoT based smart surveillance monitoring by using model-based human action recognition design","authors":"Amir Reza Ebrahimy, A. NaghshNilchi, A. Monadjemi, Mohmmad SaeidEhsani","doi":"10.1109/IoT52625.2021.9469601","DOIUrl":"https://doi.org/10.1109/IoT52625.2021.9469601","url":null,"abstract":"In recent years, with the rapid development in IP camera usage, massive video surveillance data are produced at an unprecedented speed. IP camera is one of the most important elements in In Internet of things (IoT) and smart cities, in this era. IoT Based Smart Surveillance provides resources over the Internet and allows a plethora of applications to be deployed to provide services for different applications. Traditional solutions to deal with the big video data would require a large amount of computing and storage resources. one of the major bottleneck being faced the computational cost of spatio-temporal deep neural networks making them run as fast as their 2D counterparts while preserving accuracy on video recognition benchmarks. To this end, we present the new model-based human action recognition design. In this method we use fixed dimensional representation for actions in video clips of varying lengths to decrees computational complexes. This representation, simplify clustering and comparing between videos. In addition, the methods based on CNN usually need manual annotation at the beginning and the meaning of characteristics is an abstract wonder and subjective phenomenon and hence a manual annotation of attributes is highly inconsistent [1]. Anyhow our proposed smart surveillance system is unsupervised and don’t need inconsistent manual annotation of video clips attributes. Many researchers believe smart surveillance system is a critical component of smart cities and can be a solid foundation for future applications in intelligent surveillance systems focuses on human action Recognition.","PeriodicalId":192646,"journal":{"name":"2021 5th International Conference on Internet of Things and Applications (IoT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132845629","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: 5

Ranking Resilience Events in IoT Industrial Networks 物联网工业网络弹性事件排名

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469607

M. Abadeh, Mansooreh Mirzaie

引用次数: 2

Provision of a Recommender Model for Blockchain-Based IoT with Deep Reinforcement Learning 基于深度强化学习的区块链物联网推荐模型的提供

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469708

Elnaz Rabieinejad, S. Mohammadi, M. Yadegari

{"title":"Provision of a Recommender Model for Blockchain-Based IoT with Deep Reinforcement Learning","authors":"Elnaz Rabieinejad, S. Mohammadi, M. Yadegari","doi":"10.1109/IoT52625.2021.9469708","DOIUrl":"https://doi.org/10.1109/IoT52625.2021.9469708","url":null,"abstract":"With developments in human societies and the information and communication technology, the Internet of Things (IoT) has penetrated various aspects of daily life and different industries. The newly emerging blockchain technology has become a viable solution to the IoT security due to its inherent characteristics such as distribution, security, immutability, and traceability. However, integrating the IoT with the blockchain technology faces certain challenges such as latency, throughput, device power limitation, and scalability. Recent studies have focused on the role of artificial intelligence methods in improving the IoT performance in a blockchain. According to their results, there are only a few effects on the improvement of IoT-based performance with limited power. This study proposes a conceptual model to improve the blockchain throughput in IoT-based devices with limited power through deep reinforcement learning. This model benefits from a recommender agent based on deep reinforcement learning in the mobile edge computing layer to improve the throughput and select the right mining method.","PeriodicalId":192646,"journal":{"name":"2021 5th International Conference on Internet of Things and Applications (IoT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116921622","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