2021 IEEE 7th World Forum on Internet of Things (WF-IoT)最新文献

Energy Prediction in Edge Environment for Smart Cities 智慧城市边缘环境下的能源预测

2021 IEEE 7th World Forum on Internet of Things (WF-IoT) Pub Date : 2021-06-14 DOI: 10.1109/WF-IoT51360.2021.9595460

Oluwatobi Oyinlola

{"title":"Energy Prediction in Edge Environment for Smart Cities","authors":"Oluwatobi Oyinlola","doi":"10.1109/WF-IoT51360.2021.9595460","DOIUrl":"https://doi.org/10.1109/WF-IoT51360.2021.9595460","url":null,"abstract":"People around the world are trending to the Internet of Things (IoT) technologies. A large number of IoT devices are installed every day to enhance the sophistication and sustainability of smart cities. Besides, a smart city needs a smart energy management system including a smart grid, smart building. Also, a smart energy distribution system is important to reduce energy and manage it efficiently. The IoT devices are installed in various buildings in the city, they use a lot of energy, and produce energy usage information. In the existing cloud system, it is difficult to analyze and transfer the data quickly, similarly impossible to receive the analysis result immediately. However, edge computing has the advantage of fast data analysis and supply analyzed results to the field. In this process, data is processed in the edge environment, where data has been collected, analyzed, and processed in the edge nodes. In this study, we presented an energy prediction model based on the edge computing technique. We used a dataset where various environmental and energy use information has been considered. Also, we have used five different Machine Learning (ML) classifiers to classify the prediction model and assess the prediction performance. This study presents an energy prediction model using various ML classifiers in an edge computing environment.","PeriodicalId":184138,"journal":{"name":"2021 IEEE 7th World Forum on Internet of Things (WF-IoT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123081348","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

Statistical Characterization of Path-Loss for 900 MHz LoRa Using a Bike-Share IoT Network 基于共享单车物联网网络的900mhz LoRa路径损耗统计特性

2021 IEEE 7th World Forum on Internet of Things (WF-IoT) Pub Date : 2021-06-14 DOI: 10.1109/WF-IoT51360.2021.9595396

Sebastián Eraso-Misnaza, Juan G. Eraso-Trejo, Darío F. Fajardo-Fajardo, C. A. Viteri-Mera

{"title":"Statistical Characterization of Path-Loss for 900 MHz LoRa Using a Bike-Share IoT Network","authors":"Sebastián Eraso-Misnaza, Juan G. Eraso-Trejo, Darío F. Fajardo-Fajardo, C. A. Viteri-Mera","doi":"10.1109/WF-IoT51360.2021.9595396","DOIUrl":"https://doi.org/10.1109/WF-IoT51360.2021.9595396","url":null,"abstract":"The Internet of Things (IoT) has evolved over the past decade and is now deployed in a myriad of applications such as environmental variable sensing, agriculture, healthcare, smart homes, and smart cities, to name just a few. In this paper, we leverage a bike-share IoT network to measure RF path-loss over a wide area within a city. Compact sensors are attached to the bikes, providing real-time measurements of several variables, including received RF power. Our methodology can be replicated to measure air quality indicators, traffic, or any other variables that can be sensed in compact modules mounted on bikes. Using this system, we perform a statistical characterization of path-loss for LoRa at a frequency of 905.3 MHz. The measurement campaign took place in Pasto, Colombia, a mountainous city in the Andes mountains with medium-size buildings and narrow streets. We found that the path-loss exponent in this environment is 2.4, with a standard deviation of 7.9 dB. Cell radius for LoRa gateways under this propagation conditions is 410 m for 5% outage and 729 m for 10% outage. This path-loss characterization can be used for initial design and for optimization of LoRa IoT networks.","PeriodicalId":184138,"journal":{"name":"2021 IEEE 7th World Forum on Internet of Things (WF-IoT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115211663","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

System-Level, Model-Based Power Estimation of IoT Nodes 系统级，基于模型的物联网节点功率估计

2021 IEEE 7th World Forum on Internet of Things (WF-IoT) Pub Date : 2021-06-14 DOI: 10.1109/wf-iot51360.2021.9595622

Ozen Ozkaya, Berna Ors

引用次数: 0

Time-Distributed Feature Learning in Network Traffic Classification for Internet of Things 物联网网络流量分类中的时间分布特征学习

2021 IEEE 7th World Forum on Internet of Things (WF-IoT) Pub Date : 2021-06-14 DOI: 10.1109/WF-IoT51360.2021.9595307

Yoga Suhas Kuruba Manjunath, Sihao Zhao, Xiao-Ping Zhang

引用次数: 4

NFC Key Exchange - A light-weight approach to authentic Public Key Exchange for IoT devices NFC密钥交换——一种轻量级的方法，用于物联网设备的真实公钥交换

2021 IEEE 7th World Forum on Internet of Things (WF-IoT) Pub Date : 2021-06-14 DOI: 10.1109/WF-IoT51360.2021.9595145

Julian Dreyer, Marten Fischer, R. Tönjes

{"title":"NFC Key Exchange - A light-weight approach to authentic Public Key Exchange for IoT devices","authors":"Julian Dreyer, Marten Fischer, R. Tönjes","doi":"10.1109/WF-IoT51360.2021.9595145","DOIUrl":"https://doi.org/10.1109/WF-IoT51360.2021.9595145","url":null,"abstract":"The Near Field Communication (NFC) technology has experienced a steep rise in popularity due to new advances in contactless payment or virtual public transport tickets on mobile devices. Though, NFC can also be used to exchange arbitrary data between two devices within close distance. This aspect is inherently useful to prove physical access, e.g. during authentication. Modern wireless technologies such as Wi-Fi or Bluetooth 5.0 also use NFC for their pairing schemes. However, there does not exist any approach towards an NFC supported authentication scheme for digital signatures. This paper proposes a novel approach to authentically exchange public keys with the aid of NFC. Using said technique allows the key exchanging parties to prove their authenticity to each other, by exploiting the close and limited wireless communication distance of NFC. Using the proposed algorithm scalable, authentic and cost-effective sensor networks can be built, without compromising the security of the exchanged keys. With the proposed NFC challenge-response scheme, the public key of the sender can be transferred without any third party being able to smuggle in their own public key. Following the proposed scheme, any attempts to exchange unauthentic keys can be directly identified and consequently rejected. The proof-of-concept example shows, that the algorithm allows for dynamically adding of new sensors as well as an authentic communication between the gateway and the sensor devices.","PeriodicalId":184138,"journal":{"name":"2021 IEEE 7th World Forum on Internet of Things (WF-IoT)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122817268","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

Enabling Energy-Efficient IoT via Learning Assisted Header-Free Communication 通过学习辅助的无标头通信实现节能物联网

2021 IEEE 7th World Forum on Internet of Things (WF-IoT) Pub Date : 2021-06-14 DOI: 10.1109/WF-IoT51360.2021.9595651

Dylan Wheeler, B. Natarajan

引用次数: 0

Reverse Sequence Hash Chain based Multicast Authentication for IoT Firmware Updates 基于反向序列哈希链的IoT固件更新组播认证

2021 IEEE 7th World Forum on Internet of Things (WF-IoT) Pub Date : 2021-06-14 DOI: 10.1109/WF-IoT51360.2021.9596024

Jiye Park, Dongha Lee, G. Maierbacher

引用次数: 0

RPL-RP: RPL with Route Projection for Transversal Routing RPL- rp:具有横向路由投影的RPL

2021 IEEE 7th World Forum on Internet of Things (WF-IoT) Pub Date : 2021-06-14 DOI: 10.1109/WF-IoT51360.2021.9595575

Iliar Rabet, H. Fotouhi, M. Vahabi, M. Alves, M. Björkman

{"title":"RPL-RP: RPL with Route Projection for Transversal Routing","authors":"Iliar Rabet, H. Fotouhi, M. Vahabi, M. Alves, M. Björkman","doi":"10.1109/WF-IoT51360.2021.9595575","DOIUrl":"https://doi.org/10.1109/WF-IoT51360.2021.9595575","url":null,"abstract":"Routing Protocol for Low-Power and Lossy Networks (RPL) as the most widely used routing protocol for constrained Internet of Things (IoT) devices optimizes the number of routing states that nodes maintain to minimize resource consumption. Given that the routes are optimized for data collection, this leads to selecting sub-optimal routes, particularly in case of east-west or ”transversal” traffic. Additionally, RPL neglects interactions with a central entity in the network for monitoring or managing routes and enabling more flexibility and responsiveness to the system.In this paper, we present RPL with Route Projection (RPL-RP) that enables collecting siblings’ relations at the root node in order to inject routing states to the routers. This backward-compatible RPL extension still favors collection-based traffic patterns but it enriches the way routing protocol handles other flow directions. We address different advantages of RPL-RP in contrast to standard RPL and evaluate its overhead and improvements in terms of end-to-end delay, control overhead and packet delivery ratio. Overall, RPL-RP halves the end-to-end delay and increases network reliability by 5% while increasing network overhead by only 3%.","PeriodicalId":184138,"journal":{"name":"2021 IEEE 7th World Forum on Internet of Things (WF-IoT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129768630","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

A Bayesian Linear Regression Approach to Predict Traffic Congestion 交通拥堵预测的贝叶斯线性回归方法

2021 IEEE 7th World Forum on Internet of Things (WF-IoT) Pub Date : 2021-06-14 DOI: 10.1109/WF-IoT51360.2021.9595298

Sifatul Mostafi, Taghreed Alghamdi, Khalid Elgazzar

{"title":"A Bayesian Linear Regression Approach to Predict Traffic Congestion","authors":"Sifatul Mostafi, Taghreed Alghamdi, Khalid Elgazzar","doi":"10.1109/WF-IoT51360.2021.9595298","DOIUrl":"https://doi.org/10.1109/WF-IoT51360.2021.9595298","url":null,"abstract":"Regression-based traffic modelling can estimate traffic congestion as a response variable by incorporating explanatory spatiotemporal components. Bayesian inference is widely used in traffic modelling as it has advantages over a frequentist approach. Previous approaches mainly focused on offsetting Bayesian inference by incorporating supervised feature extraction, data redistribution and competitive expectation-maximization techniques to achieve better accuracy in traffic forecasting. Unlike the frequentist approach, these combined Bayesian inference approaches lack interpretability. This paper proposes a simple Bayesian Linear Regression approach for spatiotemporal traffic congestion prediction that leverages Bayesian inference to facilitate model interpretability and quantify model uncertainty. The model is evaluated in terms of mean absolute error (MAE) and root mean squared error (RMSE). The experiment shows that Bayesian linear regression modelling can be trained on small data observations to quantify model uncertainty and predict traffic congestion without sacrificing interpretability and accuracy in comparison with the frequentist approach.","PeriodicalId":184138,"journal":{"name":"2021 IEEE 7th World Forum on Internet of Things (WF-IoT)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124683014","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

Energy Harvesting-Assisted Cognitive Sensor Nodes in Wireless Body Area Networks 无线体域网络中能量收集辅助认知传感器节点

2021 IEEE 7th World Forum on Internet of Things (WF-IoT) Pub Date : 2021-06-14 DOI: 10.1109/WF-IoT51360.2021.9595931

A. Shukla, P. K. Upadhyay, Abhishek Srivastava, J. M. Moualeu

引用次数: 0