2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)最新文献_第9页

Artificial Neural Network-based Estimation of Individual Localization Errors in Fingerprinting 基于人工神经网络的指纹个体定位误差估计

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045648

Filip Lemic, J. Famaey

{"title":"Artificial Neural Network-based Estimation of Individual Localization Errors in Fingerprinting","authors":"Filip Lemic, J. Famaey","doi":"10.1109/CCNC46108.2020.9045648","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045648","url":null,"abstract":"Location information is among the main enablers of context-aware applications and wireless networks. Practical localization services are able to generate location estimates that are generally erroneous. To maximize its usability and benefits, each location estimate should be leveraged jointly with the corresponding estimate of its localization error. Hence, we propose an Artificial Neural Network (ANN)-based method for the estimation of individual localization errors. We do that for fingerprinting, one of the most prominent localization solutions for GPS-constrained environments. First, we provide insights on how to optimally hyperparameterize the proposed method. We do that by exploring its hyperparameter’ space in order to find its close-to-optimal hyperparameterization for different environments and fingerprinting technologies. We believe the provided insights can serve to reduce the overhead of deploying the method in new environments. Second, we demonstrate that the method, when hyperparameterized according to the provided insights, substantially outperforms the current state-of-the-art. The improvement is more than 25% in the best case scenario.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115997426","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: 6

Cooperative Drone Positioning Measuring in Internet-of-Drones 无人机互联网中的协同无人机定位测量

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045111

Chao-Yang Lee

{"title":"Cooperative Drone Positioning Measuring in Internet-of-Drones","authors":"Chao-Yang Lee","doi":"10.1109/CCNC46108.2020.9045111","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045111","url":null,"abstract":"Recently, an unmanned aerial vehicles (UAVs) known as drones which offer advantages in mobility purposes due to its convenience, flexibility, and utility above other platforms. Several sensors, such as GPS receiver combining with the control module, attached to the autopilot system which enables navigation and autonomic flighting. However, due to its notoriously poor-quality positioning acquisition from a low-cost GPS device. For autonomic flighting tasks, UAV must have precise localization information while flighting. Recently, smart cities have become an important technology, and the Internet of Drones (IoD) is one of the popular technologies in smart cities, which is a combination of the Internet of Things (IoT) and drones. Therefore, communication technologies may be a satisfactory localization solution for the real-time and the cost that it requires. This study proposes a cooperative drone positioning measuring in internet-of-drones. Every drone connected, share their localization information, distance measuring information to other drones to obtain both of ego-drone's and obstacles' high accuracy position. Finally, the simulation result reveals the proposed method could increase the positioning accuracy through the IoD.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"32 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116384697","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: 7

Hardware Root Of Trust for IoT Security In Smart Home Systems 智能家居系统中物联网安全的硬件信任根

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045412

Samah S. Mansour, Adrian P. Lauf

引用次数: 2

Wireless Smart Ubiquitous Network by CSL-based Low Power MAC Protocol 基于csl的低功耗MAC协议的无线智能泛在网络

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045735

Kai Samejima, Ryota Okumura, K. Mizutani, H. Harada

引用次数: 0

Novel System Design for Reducing Cost and Power Consumption in a Multi-SIM User Equipment 降低多sim卡用户设备成本和功耗的新型系统设计

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045345

Kumud Sinha, T. Vrind, Lalit Pathak, D. Das

引用次数: 2

Cuttlefish: A Flexible and Lightweight Middleware for Combining Heterogeneous IoT Devices 墨鱼:用于组合异构物联网设备的灵活轻量级中间件

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045316

Andreas Pamboris, Charalampos Kozis, H. Herodotou

{"title":"Cuttlefish: A Flexible and Lightweight Middleware for Combining Heterogeneous IoT Devices","authors":"Andreas Pamboris, Charalampos Kozis, H. Herodotou","doi":"10.1109/CCNC46108.2020.9045316","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045316","url":null,"abstract":"The Internet of Things (IoT) extends connectivity beyond traditional computing devices to different types of smart objects, equipped with various sensors and actuators. These objects range from smart lightbulbs and thermostats to smart watches and fitness trackers, or even heavy machinery used in various industrial sectors. Due to device heterogeneity, the complexity of developing applications that require the collection and sharing of data across multiple IoT devices is high, as developers need to be familiar with a diverse set of supported services and APIs. While existing approaches have proposed solutions to this challenge, they rely on the use of resource-intensive cloud-based components, they do not offer the degree of extensibility desired by developers, and they often trade off some of the richness of real-time data for ease of use. Cuttlefish is a flexible and lightweight middleware that offers a unified API to help with the development of applications that utilize multiple heterogeneous IoT devices. It abstracts away much of the complexity involved with orchestrating different devices at runtime. At the same time, it avoids the aforementioned caveats of existing approaches through a simple and efficient design, yet one that offers a rich set of capabilities to developers.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"50 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116530527","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: 6

Mobile Vehicular Edge Computing Architecture using Rideshare Taxis as a Mobile Edge Server 以拼车出租车为移动边缘服务器的移动车辆边缘计算架构

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045741

Mohammed Laroui, Boubakr Nour, Hassine Moungla, H. Afifi, M. A. Cherif

引用次数: 5

Towards the quest for 5G Network Slicing 对5G网络切片的探索

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045327

Farouk Messaoudi, P. Bertin, A. Ksentini

引用次数: 4

Detouring Skip Graph: A Structured Overlay Utilizing Detour Routes 绕行跳跃图:利用绕行路线的结构化叠加

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045594

Takeshi Kaneko, Ryohei Banno, Kazuyuki Shudo, Yusuke Aoki, K. Abe, Y. Teranishi

引用次数: 0

Game theoretic approach applied in cybersecurity information exchange framework 博弈论在网络安全信息交换框架中的应用

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045430

Ankit Thakkar, S. Badsha, S. Sengupta

{"title":"Game theoretic approach applied in cybersecurity information exchange framework","authors":"Ankit Thakkar, S. Badsha, S. Sengupta","doi":"10.1109/CCNC46108.2020.9045430","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045430","url":null,"abstract":"In CYBersecurity information EXchange (CYBEX) framework, Cyber Threat Intelligence (CTI) is shared among multiple organizations with a view of creating situational awareness. But there is a possibility that malicious organizations coexist with regular ones in this framework, which can get hold of the threat data shared by other organizations and can use it for carrying out malicious activities. We formulate the aforementioned problem as an incomplete information game assuming that whenever CYBEX receives any information, it processes the information for anomaly detection. We find the mixed strategy Nash equilibrium probabilities and corresponding Bayesian belief updates. We simulate the game to find the best response strategies with which regular and malicious organizations can play to increase their payoffs. Based on the best response strategies of organizations, we analyze that achieving more anomaly detection rate while keeping the processing rate minimum is the best action strategy with which CYBEX can play to increase the gain of both CYBEX and regular organizations over malicious organizations. We also find the approximate average minimum processing rate and anomaly detection rate with which CYBEX can play in order to maintain the payoff of itself and regular organizations higher than the malicious ones.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129390435","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