2020 IEEE International Conference on Communications Workshops (ICC Workshops)最新文献_第10页

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2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/iccworkshops49005.2020.9145360

引用次数: 0

Experimental Results for Energy Harvesting by Exploiting Inherent Inadequacies of Sampling Process for IoT Applications 利用物联网应用中采样过程固有缺陷进行能量收集的实验结果

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145405

N. Jain, N. A. Sah, V. Bohara, Anubha Gupta

{"title":"Experimental Results for Energy Harvesting by Exploiting Inherent Inadequacies of Sampling Process for IoT Applications","authors":"N. Jain, N. A. Sah, V. Bohara, Anubha Gupta","doi":"10.1109/ICCWorkshops49005.2020.9145405","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145405","url":null,"abstract":"Senor nodes either deployed for environment monitoring or health monitoring are battery operated, and thus energy constrained. This paper proposes a novel method for energy harvesting for the Internet of things (IoT) based applications by exploiting the inherent inadequacies of the sampling process. The sensor nodes generate a continuous-time signal corresponding to the sensed parameters, which sampled and digitized for further processing. However, the traditional sampling process discarded most of the input signal energy, which could be harvested to supplement the sensor node itself. The sampling interval (i.e., the duration between two samples) of the sampling process, is composed of acquisition and hold time. During acquisition time, the continuous-time input signal is connected to a capacitor for acquiring the input signal value, while in hold time, the capacitor holds the acquired value and disconnects from the input signal. Therefore, during the hold time, the input signal energy is wasted, making the overall sampling process inadequate. This paper overcomes these inadequacies by modifying the circuitry of the sampling process during the hold time. It thus harvests the energy from the input signal obtained through a sensing element without affecting the overall performance of the system. To validate the proposed method, a hardware setup has been designed to sample and harvest the energy for both the environment as well as health monitoring application.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114461204","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

Subband Scheduling for NOMA with Probabilistic QoS and Aligned Transmission Constraints 具有概率QoS和对齐传输约束的NOMA子带调度

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145281

Quang-Tuan Thieu, Hung-Yun Hsieh

引用次数: 0

Data Quality and Trust : A Perception from Shared Data in IoT 数据质量与信任:来自物联网共享数据的感知

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145071

John Byabazaire, G. O’hare, D. Delaney

{"title":"Data Quality and Trust : A Perception from Shared Data in IoT","authors":"John Byabazaire, G. O’hare, D. Delaney","doi":"10.1109/ICCWorkshops49005.2020.9145071","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145071","url":null,"abstract":"Internet of Things devices and data sources areseeing increased use in various application areas. The pro-liferation of cheaper sensor hardware has allowed for widerscale data collection deployments. With increased numbers ofdeployed sensors and the use of heterogeneous sensor typesthere is increased scope for collecting erroneous, inaccurate orinconsistent data. This in turn may lead to inaccurate modelsbuilt from this data. It is important to evaluate this data asit is collected to determine its validity. This paper presents ananalysis of data quality as it is represented in Internet of Things(IoT) systems and some of the limitations of this representation. The paper discusses the use of trust as a heuristic to drive dataquality measurements. Trust is a well-established metric that hasbeen used to determine the validity of a piece or source of datain crowd sourced or other unreliable data collection techniques. The analysis extends to detail an appropriate framework forrepresenting data quality effectively within the big data modeland why a trust backed framework is important especially inheterogeneously sourced IoT data streams.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115276682","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: 9

Priority-Oriented Trajectory Planning for UAV-Aided Time-Sensitive IoT Networks 面向优先级的无人机辅助时敏物联网网络轨迹规划

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145119

Nanxin Wang, Yifei Xin, Jingheng Zheng, Jingjing Wang, Xiao Liu, Xiangwang Hou, Yuanwei Liu

{"title":"Priority-Oriented Trajectory Planning for UAV-Aided Time-Sensitive IoT Networks","authors":"Nanxin Wang, Yifei Xin, Jingheng Zheng, Jingjing Wang, Xiao Liu, Xiangwang Hou, Yuanwei Liu","doi":"10.1109/ICCWorkshops49005.2020.9145119","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145119","url":null,"abstract":"Unmanned Aerial Vehicles (UAVs) have been widely employed in the Internet of Things (IoT) networks due to their high mobility and high probability of line-of-sight (LoS) propagation. Equipped with certain payloads, UAVs are able to gather data from sensors located in a particular area where no ground base station is available for transmitting data, such as oceans and mountains. However, for a time-sensitive network, the latency has to be minimized, especially in heterogeneous scenarios where each sensor has its own latency tolerance, which emphasizes the importance of trajectory design of UAVs. In this paper, we propose a priority-oriented trajectory planning problem for a UAV-aided time-sensitive heterogeneous IoT network, based on which we provide a solution for satisfying the latency tolerance of the network within a given period of time. Aiming at optimizing trajectories, we employ continuous Deep Q-Learning Network (DQN) which is proven to be capable of identifying a relatively optimal trajectory compared to the benchmarks through a large number of experiments. Simulation results are provided for demonstrating that the proposed DQN-based algorithm outperforms the benchmarks. More particularly, the proposed DQN-based algorithm is capable of achieving in excess of 49% and 10% improvements in system costs over the greedy algorithm and Q-Learning algorithm, respectively.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"417 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116260029","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: 10

Secure Distributed Data Management for Fog Computing in Large-Scale IoT Application: A Blockchain-Based Solution 大规模物联网应用中雾计算的安全分布式数据管理:基于区块链的解决方案

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145381

Zunming Chen, Hongyan Cui, Ensen Wu, Yuan-Xing Li, Yu Xi

{"title":"Secure Distributed Data Management for Fog Computing in Large-Scale IoT Application: A Blockchain-Based Solution","authors":"Zunming Chen, Hongyan Cui, Ensen Wu, Yuan-Xing Li, Yu Xi","doi":"10.1109/ICCWorkshops49005.2020.9145381","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145381","url":null,"abstract":"Fog computing, a novel computing paradigm, migrates cloud computing to the edge of network and consequently decrease the overhead of process and movement of the large-scale big data. Fog computing is promising to lower communication delay and offload network traffic with the scale of big data increasing in large-scale IoT application, which brings micro-data centers to the network edge, enabling the network edge to perceive, process, storage and calculate the massive data, reducing the amount of transferred data. However, numerous fog nodes at the network edge face an external attack resulting in serious security threats arising from the trusting relationship vulnerability because of the lack of the consideration of the properties of the fog computing system. This paper addresses the design for developing secure distributed data management platform for fog computing in large-scale IoT application, along with a blockchain-based data management implementation of the platform, which approaches the major challenges: how to realize the integration of data security and storage management for fog computing in large-scale IoT application and enrich rational interoperability for interconnected things. Experimental results show that the system works well to empower data provenance and transparency and defend against unauthorized access effectively in fog computing, scales well with loss of the performance of communication and computing maintaining in acceptable range, verifying the efficiency and feasibility of our design to provide privacy, integrity and fine-grained data management for fog computing in large-scale IoT application by introducing the data management platform based upon the blockchain network and smart contracts therein.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114927619","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: 8

Information-Theoretic Evaluation of Orbital Angular Momentum Transmission 轨道角动量传输的信息论评价

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145357

Xuefeng Jiang, Chao Zhang

引用次数: 1

LoMM: A Monitoring and Management Platform for LoRaWAN Experimentation LoRaWAN实验监测与管理平台

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145274

C. Costa, Marco Centenaro, R. Riggio

引用次数: 2

Pre-Distorted ADO-OFDM for Mutual Interference Eliminating with Low Complexity and Low Latency 低复杂度、低时延的预失真ADO-OFDM相互干扰消除技术

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145474

Xuan Huang, Fang Yang, Changyong Pan, Jian Song

{"title":"Pre-Distorted ADO-OFDM for Mutual Interference Eliminating with Low Complexity and Low Latency","authors":"Xuan Huang, Fang Yang, Changyong Pan, Jian Song","doi":"10.1109/ICCWorkshops49005.2020.9145474","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145474","url":null,"abstract":"Although the conventional asymmetrically clipped direct current biased optical OFDM (ADO-OFDM) scheme shows a tradeoff of the optical power efficiency and spectrum efficiency compared with the asymmetrically clipped optical OFDM (ACO-OFDM) and DC biased optical OFDM (DCO-OFDM) schemes, it will face the problem of mutual interference, leading to the high complexity, extra latency, and error propagation issues. Thus, in this paper, a pre-distorted ADO-OFDM (PADO-OFDM) scheme is proposed to eliminate the mutual interference between ACO-OFDM and DCO-OFDM signals, which means the demodulation of ACO-OFDM and DCO-OFDM signals can be processed simultaneously, and the conventional error propagation from the previous subtraction method can be avoided. Moreover, the corresponding characteristic of PADO-OFDM is also derived, while the formula of probability density function is investigated. Through the complexity analysis, the computational complexity of PADO-OFDM at the receiver is much lower than that of the conventional ADO-OFDM. Moreover, simulation results show that compared with the conventional ADO-OFDM scheme, the proposed PADO-OFDM scheme has the advantages of low process latency.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125930579","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

Parameter Estimation and Signal Optimization for Joint Communication and Radar Sensing 联合通信与雷达传感的参数估计与信号优化

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145109

Zhitong Ni, J. A. Zhang, Xiaojing Huang, Kai Yang, Fei Gao

引用次数: 9