2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)最新文献_第10页

An Efficient Accelerated Learning Algorithm For Tracking Of Unknown, Spatially Correlated Signals In Ad-Hoc Wireless Sensor Networks 一种用于自组织无线传感器网络中未知空间相关信号跟踪的高效加速学习算法

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298182

H. Alasti

{"title":"An Efficient Accelerated Learning Algorithm For Tracking Of Unknown, Spatially Correlated Signals In Ad-Hoc Wireless Sensor Networks","authors":"H. Alasti","doi":"10.1109/UEMCON51285.2020.9298182","DOIUrl":"https://doi.org/10.1109/UEMCON51285.2020.9298182","url":null,"abstract":"An efficient accelerated learning algorithm is proposed and discussed for tracking of spatially correlated signals in ad-hoc wireless sensor networks. The proposed algorithm is low-cost and computationally efficient. It models an unknown, spatially correlated signal using a number of its contour lines at equally spaced levels. In the proposed algorithm, each sensor is modeled as one neuron in a neural network. The accelerated learning’s agent is implemented at the fusion center (FC). The algorithm is performed in two phases of spatial modeling and spatial tracking. In spatial modeling phase that accelerated learning is implemented, the algorithm discovers the model parameters. In spatial tracking phase, the model parameters are updated to track the varying, unknown spatial signal. Those sensors (neurons) that their observation are in a given margin of at least one of the contour levels, report their filtered observations to the FC. The FC updates the model parameters based on the reported observations and returns the model features to the sensor network for the next iteration step. The performance evaluation results show that the proposed accelerated learning is low cost and converges faster than single layer machine learning approach. The modeling performance, convergence speed and the cost of the proposed algorithm are compared with those of single layer machine learning algorithm. The algorithm is proposed for environmental monitoring.","PeriodicalId":433609,"journal":{"name":"2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131425337","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 250 MHz-to-1.6 GHz Phase Locked Loop Design in Hybrid FinFET-Memristor Technology 混合finfet -忆阻器技术中250mhz -1.6 GHz锁相环设计

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298155

Naheem Olakunle Adesina, A. Srivastava

{"title":"A 250 MHz-to-1.6 GHz Phase Locked Loop Design in Hybrid FinFET-Memristor Technology","authors":"Naheem Olakunle Adesina, A. Srivastava","doi":"10.1109/UEMCON51285.2020.9298155","DOIUrl":"https://doi.org/10.1109/UEMCON51285.2020.9298155","url":null,"abstract":"There are tremendous improvements in performance of transistor in CMOS technology by scaling down its size. However, there are various challenges, such as short channel effects (SCE), that are associated with miniaturization. FinFET technology is a promising technique to overcome these issues because it offers better electrostatic control of the channel than planar CMOS transistor as the technology scales down. In this work, we have proposed a phase locked loop (PLL) design with FinFET and memristor. The resistive and capacitive (R-C) components of loop filter are replaced with memristor and memcapacitor, respectively, in order to minimize the die area and reduce power consumption. The designed PLL produces a tuning range of 0.25 - 1.60 GHz at center frequency of 1 GHz with 2.05 mW average power consumption. The voltage-controlled oscillator (VCO), which contributes majorly to the total phase noise in phase locked loop, has a phase noise -135.2 dBc/Hz at 1 MHz offset frequency. In addition, the PLL shows high reliability with wide variations in temperature.","PeriodicalId":433609,"journal":{"name":"2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"248 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133002792","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

Performance Analysis of Cloud Radio Access Networks with Nakagami-m Fading Channel 具有Nakagami-m衰落信道的云无线接入网性能分析

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298112

Ayad N. Bihnam, Xian Liu

引用次数: 1

OPSCAN: Density-based Spatial Clustering in Opportunistic Networks 机会网络中基于密度的空间聚类

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298179

Ahmed E. Elshafey, Soumaia Ahmed Al Ayyat, S. Aly

{"title":"OPSCAN: Density-based Spatial Clustering in Opportunistic Networks","authors":"Ahmed E. Elshafey, Soumaia Ahmed Al Ayyat, S. Aly","doi":"10.1109/UEMCON51285.2020.9298179","DOIUrl":"https://doi.org/10.1109/UEMCON51285.2020.9298179","url":null,"abstract":"In modern opportunistic networks, network operations can be improved through knowledge of spatial information of low and high density areas, predictions of the mobility of nodes in the space, as well as the spatial distribution of nodes. Such information can be used to adapt forwarding decisions. In this paper, we introduce an efficient opportunistic spatial clustering algorithm, OPSCAN (Opportunistic Spatial Clustering of Applications with Noise). Based on DBSCAN (Density-Based Spatial Clustering of Applications with Noise), a density-based clustering algorithm that discovers arbitrary-shaped clusters in a dataset and distinguishes noise points. OPSCAN is capable of clustering network nodes into high density clusters, while maintaining sparse areas of nodes between clusters. Clusters share spatial information of the network such as area density, mobility statistics and information about other clusters and their nodes. Knowledge of edge nodes in the clusters is also made available for utilization in more efficient forwarding decisions. Simulations show that our algorithm is capable of producing dense, homogeneous clusters and accurately outlining cluster edges. We have used the Silhouette Coefficient to measure cluster homogeneity against density-based clustering algorithms DBSCAN and ST-DBSCAN (Spatial-Temporal DBSCAN), a DBSCAN-based spatial-temporal variant on \"GeoLife\" dataset. We have found OPSCAN outperforms DBSCAN by a coefficient of 0.81 to 0.73 for the same minimum distance, under-performing ST-DBSCAN by 0.87 to 0.81 for that distance. OPSCAN requires only two inputs as compared to four for ST-DBSCAN. As the distance parameter is increased, OPSCAN produces homogeneous clusters more closely to ST-DBSCAN.","PeriodicalId":433609,"journal":{"name":"2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115558992","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

Mitigation of Odometer Fraud for In-Vehicle Security Using the Discrete Hartley Transform 利用离散Hartley变换缓解车载安全中的里程表欺诈

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298039

G. Baldini, Raimondo Giuliani, M. Gemo

{"title":"Mitigation of Odometer Fraud for In-Vehicle Security Using the Discrete Hartley Transform","authors":"G. Baldini, Raimondo Giuliani, M. Gemo","doi":"10.1109/UEMCON51285.2020.9298039","DOIUrl":"https://doi.org/10.1109/UEMCON51285.2020.9298039","url":null,"abstract":"Odometer fraud is a serious offense in the automotive sector and indicates the disconnection, resetting, or alteration of a vehicle’s odometer and the related sensor with the intent to change the number of miles/Kms indicated or recorded to report false information. This paper focuses specifically on the threat scenario where the odometer sensor (i.e., Hall Sensor) is manipulated or replaced to implement an odometer fraud. This paper proposes a technique to mitigate odometer fraud by performing a physical layer authentication of the Hall Sensor, which takes in consideration the limitation of the in-vehicle networks and microprocessors. In particular, the Discrete Hartley Transform (DHT) in combination with machine learning algorithms is used to perform the authentication on an experimental data set of 12 Hall Sensors, which has been collected by the authors. The results shows that features extracted with DHT have more discriminating power than the original time domain and the frequency domain representations based on the Fast Fourier Transform (FFT) especially in presence of noise.","PeriodicalId":433609,"journal":{"name":"2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115580345","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

A 1.2-V 6-GHz Dual-Path Charge-Pump PLL Frequency Synthesizer for Quantum Control and Readout in CMOS 65-nm Process 一种用于量子控制和读出的1.2 v 6ghz双路电荷泵锁相环频率合成器

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298160

V. Manthena, S. Miryala, G. Deptuch, G. Carini

引用次数: 1

Adaptive Modulation Regenerator and Distance Aware Algorithm for Dynamic Routing in Elastic Optical Networks 弹性光网络中动态路由的自适应调制再生器和距离感知算法

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298105

Siwei Zhao, Sanyami Shah, Kishan N. Patel, Nickyta Patel, Vachana Shetty, Michal Aibin

引用次数: 0

Estimating Attack Risk of Network Activities in Temporal Domain: A Wavelet Transform Approach 时域网络活动攻击风险估计:小波变换方法

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298153

Soo-Yeon Ji, Bong-Keun Jeong, C. Kamhoua, Nandi O. Leslie, D. Jeong

引用次数: 2

Radio-Factor Authentication: Identity Management over the 900MHz Band 无线电因素认证:900MHz频段上的身份管理

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298110

Daniel DeBruno, Kyle Moissinac, Joseph Severt, Abdelrahman Elleithy

引用次数: 0

Secure Digital Service as a Utility and the Unit of Measure 作为实用工具和度量单位的安全数字服务

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298151

Salam Ismaeel, M. Kamaludeen, A. Miri

引用次数: 0