Pub Date : 2020-08-01DOI: 10.1109/SmartIoT49966.2020.00033
Rui Yang, Xiangzhu Meng, Lin Feng
Dimensionality reduction is an important research direction for machine learning. In recent years, semi-supervised learning has become a hot issue. Especially, SDA and SMMC are two representative semi-supervised dimensionality reduction methods, which mainly focus on the combination of local geometry structure and label information. For this reason, SDA and SMMC are deeply analyzed in this paper. However, the subspaces generated by these two methods only focus on within-class scatter or between-class scatter. Here we propose a new semi-supervised dimensionality reduction method that can balance them through the co-angle method. The experiment on real-world datasets can illustrate the efficiency of our method.
{"title":"Scatter Balance based Semi-supervised Dimensional Reduction","authors":"Rui Yang, Xiangzhu Meng, Lin Feng","doi":"10.1109/SmartIoT49966.2020.00033","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00033","url":null,"abstract":"Dimensionality reduction is an important research direction for machine learning. In recent years, semi-supervised learning has become a hot issue. Especially, SDA and SMMC are two representative semi-supervised dimensionality reduction methods, which mainly focus on the combination of local geometry structure and label information. For this reason, SDA and SMMC are deeply analyzed in this paper. However, the subspaces generated by these two methods only focus on within-class scatter or between-class scatter. Here we propose a new semi-supervised dimensionality reduction method that can balance them through the co-angle method. The experiment on real-world datasets can illustrate the efficiency of our method.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127664159","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}
Pub Date : 2020-08-01DOI: 10.1109/smartiot49966.2020.00069
{"title":"SmartIoT 2020 Index","authors":"","doi":"10.1109/smartiot49966.2020.00069","DOIUrl":"https://doi.org/10.1109/smartiot49966.2020.00069","url":null,"abstract":"","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132435987","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}
Pub Date : 2020-08-01DOI: 10.1109/SmartIoT49966.2020.00059
Fengxin Cheng, Caixing Shao
Internet of Vehicles(IoV) is a typical application of Mobile Ad Hoc Networks(MANET). Due to the high speed of vehicles and frequent network topology changing in IoV, vehicle communication becomes extremely difficult. Especially in the urban environment, the complex road conditions and large numbers of vehicles put forward higher requirements for the communication performance of IoV in a dense network environment. Vehicle clustering is an effective method to improve communication capability. However, one of the key challenges is to minimize the number of clusters and reduce traffic congestion at the city intersection with the increasing number of vehicle nodes. In this paper, A cluster head capability parameter that considers the characteristics of IoV in an urban intersection scenario is designed, and a novel artificial fish swarm vehicle(AFSA-V) clustering algorithm in IoV is proposed. The simulation results show that the AFSA-V algorithm presented can generate fewer vehicle clusters than the famous CLPSO clustering algorithm, that is expected to reduce communication delay and improve IoV communication performance.
{"title":"Research on Artificial Fish Swarm Clustering Algorithm in Urban Internet of Vehicles","authors":"Fengxin Cheng, Caixing Shao","doi":"10.1109/SmartIoT49966.2020.00059","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00059","url":null,"abstract":"Internet of Vehicles(IoV) is a typical application of Mobile Ad Hoc Networks(MANET). Due to the high speed of vehicles and frequent network topology changing in IoV, vehicle communication becomes extremely difficult. Especially in the urban environment, the complex road conditions and large numbers of vehicles put forward higher requirements for the communication performance of IoV in a dense network environment. Vehicle clustering is an effective method to improve communication capability. However, one of the key challenges is to minimize the number of clusters and reduce traffic congestion at the city intersection with the increasing number of vehicle nodes. In this paper, A cluster head capability parameter that considers the characteristics of IoV in an urban intersection scenario is designed, and a novel artificial fish swarm vehicle(AFSA-V) clustering algorithm in IoV is proposed. The simulation results show that the AFSA-V algorithm presented can generate fewer vehicle clusters than the famous CLPSO clustering algorithm, that is expected to reduce communication delay and improve IoV communication performance.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120991558","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}
Pub Date : 2020-08-01DOI: 10.1109/SmartIoT49966.2020.00020
Yangguang Lu, Xin Chen, Ranran Xi, Ying Chen
The next-generation mobile communication network (5G) has alleviated the problems of increasing network business traffic and changed service requirements with new telecommunication business model. Network slicing based on Network Function Virtualization (NFV) and Software Defined Network (SDN) technologies provides key functions in 5G network. In this paper, we consider a problem of network slicing switching for mobile users in a wireless access environment. In the Radio Access Network (RAN), the mobile users’ locations need to be re-accessed resource allocation sectors of the appropriate slicing. The performance of the resource sectors will directly affect the users’ service experience. In order to solve the problem of response delay that may be caused by the network slicing switching process, we establish a general heterogeneous scenario model, and propose a slicing access mechanism based on the goal of maximizing throughput to optimize the slicing access selection problem. At the same time, we propose a slicing selection access algorithm based on genetic algorithm, designing a specific implementation scheme in actual network deployment, and we also simulate experiment on related algorithm. The result shows that the slicing selection access algorithm designed in this paper has considerable effectiveness and practicability. Under the premise of ensuring user service experience, the overall performance of the system is improved as much as possible.
下一代移动通信网络(5G)以新的电信业务模式缓解了网络业务流量增加和业务需求变化的问题。基于NFV (Network Function Virtualization)和SDN (Software Defined Network)技术的网络切片提供了5G网络的关键功能。本文研究了无线接入环境下移动用户的网络切片交换问题。在无线接入网(RAN)中，移动用户的位置需要对重新访问的扇区进行适当的资源分配切片。资源板块的表现将直接影响用户的服务体验。为了解决网络切片交换过程可能造成的响应延迟问题，建立了通用异构场景模型，提出了基于吞吐量最大化目标的切片访问机制，以优化切片访问选择问题。同时，提出了一种基于遗传算法的切片选择接入算法，在实际网络部署中设计了具体的实现方案，并对相关算法进行了仿真实验。结果表明，本文设计的切片选择访问算法具有相当的有效性和实用性。在保证用户服务体验的前提下，尽可能提高系统的整体性能。
{"title":"An access selection mechanism in 5G network slicing","authors":"Yangguang Lu, Xin Chen, Ranran Xi, Ying Chen","doi":"10.1109/SmartIoT49966.2020.00020","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00020","url":null,"abstract":"The next-generation mobile communication network (5G) has alleviated the problems of increasing network business traffic and changed service requirements with new telecommunication business model. Network slicing based on Network Function Virtualization (NFV) and Software Defined Network (SDN) technologies provides key functions in 5G network. In this paper, we consider a problem of network slicing switching for mobile users in a wireless access environment. In the Radio Access Network (RAN), the mobile users’ locations need to be re-accessed resource allocation sectors of the appropriate slicing. The performance of the resource sectors will directly affect the users’ service experience. In order to solve the problem of response delay that may be caused by the network slicing switching process, we establish a general heterogeneous scenario model, and propose a slicing access mechanism based on the goal of maximizing throughput to optimize the slicing access selection problem. At the same time, we propose a slicing selection access algorithm based on genetic algorithm, designing a specific implementation scheme in actual network deployment, and we also simulate experiment on related algorithm. The result shows that the slicing selection access algorithm designed in this paper has considerable effectiveness and practicability. Under the premise of ensuring user service experience, the overall performance of the system is improved as much as possible.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"96 2 Pt 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129619868","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}
Pub Date : 2020-06-27DOI: 10.1109/SmartIoT49966.2020.00039
Ali Alzubaidi, Karan Mitra, Pankesh Patel, E. Solaiman
Within cloud-based internet of things (IoT) applications, typically cloud providers employ Service Level Agreements (SLAs) to ensure the quality of their provisioned services. Similar to any other contractual method, an SLA is not immune to breaches. Ideally, an SLA stipulates consequences (e.g. penalties) imposed on cloud providers when they fail to conform to SLA terms. The current practice assumes trust in service providers to acknowledge SLA breach incidents and executing associated consequences. Recently, the Blockchain paradigm has introduced compelling capabilities that may enable us to address SLA enforcement more elegantly. This paper proposes and implements a blockchain-based approach for assessing SLA compliance and enforcing consequences. It employs a diagnostic accuracy method for validating the dependability of the proposed solution. The paper also benchmarks Hyperledger Fabric to investigate its feasibility as an underlying blockchain infrastructure concerning latency and transaction success/fail rates.
{"title":"A Blockchain-based Approach for Assessing Compliance with SLA-guaranteed IoT Services","authors":"Ali Alzubaidi, Karan Mitra, Pankesh Patel, E. Solaiman","doi":"10.1109/SmartIoT49966.2020.00039","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00039","url":null,"abstract":"Within cloud-based internet of things (IoT) applications, typically cloud providers employ Service Level Agreements (SLAs) to ensure the quality of their provisioned services. Similar to any other contractual method, an SLA is not immune to breaches. Ideally, an SLA stipulates consequences (e.g. penalties) imposed on cloud providers when they fail to conform to SLA terms. The current practice assumes trust in service providers to acknowledge SLA breach incidents and executing associated consequences. Recently, the Blockchain paradigm has introduced compelling capabilities that may enable us to address SLA enforcement more elegantly. This paper proposes and implements a blockchain-based approach for assessing SLA compliance and enforcing consequences. It employs a diagnostic accuracy method for validating the dependability of the proposed solution. The paper also benchmarks Hyperledger Fabric to investigate its feasibility as an underlying blockchain infrastructure concerning latency and transaction success/fail rates.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126513615","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}
Pub Date : 2020-06-06DOI: 10.1109/SmartIoT49966.2020.00037
Y. Ge, Shuja Ansari, Amir M. Abdulghani, M. Imran, Q. Abbasi
Design of a smart home using Internet of Things (IoT) and Machine Learning technology has been presented in this paper. This design is primarily based on LoRaWAN protocol and the main objective of this work was to establish an IoT network that is based on integration of sensors, gateway, network server and data visualization system. More importantly, intelligent speech recognition system is designed and presented here in detail as part of this work to achieve a novel futuristic smart home system design framework with intelligent instruction-based operation mechanism. In the case of low noise, the success rate of speaker recognition is above 90% based on THCHS-30 dataset.
{"title":"Intelligent Instruction-Based IoT Framework for Smart Home Applications using Speech Recognition","authors":"Y. Ge, Shuja Ansari, Amir M. Abdulghani, M. Imran, Q. Abbasi","doi":"10.1109/SmartIoT49966.2020.00037","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00037","url":null,"abstract":"Design of a smart home using Internet of Things (IoT) and Machine Learning technology has been presented in this paper. This design is primarily based on LoRaWAN protocol and the main objective of this work was to establish an IoT network that is based on integration of sensors, gateway, network server and data visualization system. More importantly, intelligent speech recognition system is designed and presented here in detail as part of this work to achieve a novel futuristic smart home system design framework with intelligent instruction-based operation mechanism. In the case of low noise, the success rate of speaker recognition is above 90% based on THCHS-30 dataset.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"05 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128013763","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}
Pub Date : 2020-05-27DOI: 10.1109/SmartIoT49966.2020.00046
Milan Lukić, Srdjan Sobot, I. Mezei, Dragan Danilovic, D. Vukobratović
Narrowband Internet of Things (NB-IoT) is a recent addition to the 3GPP standards offering low power wide area networking (LP-WAN) for a massive amount of IoT devices communicating at low data rates in the licensed bands. As the number of deployed NB-IoT devices worldwide increases, the question of energy-efficient real-world NB-IoT device and network operation that would maximize the device battery lifetime becomes crucial for NB-IoT service popularity and adoption. In this paper, we present a detailed energy consumption of an NB-IoT module obtained from a custom-designed NB-IoT platform from which a large amount of high time-resolution data is collected. We perform a detailed energy consumption analysis of each NB-IoT data transfer phase and discuss both the device and the network-side configurations that may affect the module energy consumption in each of the phases. Preliminary results and conclusions are put forth along with the discussion of ongoing and future study plans.
{"title":"In-depth Real-World Evaluation of NB-IoT Module Energy Consumption","authors":"Milan Lukić, Srdjan Sobot, I. Mezei, Dragan Danilovic, D. Vukobratović","doi":"10.1109/SmartIoT49966.2020.00046","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00046","url":null,"abstract":"Narrowband Internet of Things (NB-IoT) is a recent addition to the 3GPP standards offering low power wide area networking (LP-WAN) for a massive amount of IoT devices communicating at low data rates in the licensed bands. As the number of deployed NB-IoT devices worldwide increases, the question of energy-efficient real-world NB-IoT device and network operation that would maximize the device battery lifetime becomes crucial for NB-IoT service popularity and adoption. In this paper, we present a detailed energy consumption of an NB-IoT module obtained from a custom-designed NB-IoT platform from which a large amount of high time-resolution data is collected. We perform a detailed energy consumption analysis of each NB-IoT data transfer phase and discuss both the device and the network-side configurations that may affect the module energy consumption in each of the phases. Preliminary results and conclusions are put forth along with the discussion of ongoing and future study plans.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115214132","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}
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