2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)最新文献

A Reliability Analysis of TSCH Protocol in a Mobile Scenario 移动场景下TSCH协议的可靠性分析

2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2019-02-25 DOI: 10.1109/CCNC.2019.8651793

S. Raza, T. Lee, Georgios Exarchakos, M. Günes

{"title":"A Reliability Analysis of TSCH Protocol in a Mobile Scenario","authors":"S. Raza, T. Lee, Georgios Exarchakos, M. Günes","doi":"10.1109/CCNC.2019.8651793","DOIUrl":"https://doi.org/10.1109/CCNC.2019.8651793","url":null,"abstract":"Future industrial low-power wireless networks together with cyber-physical systems demand mobile nodes to support diverse applications so as to increase operational efficiency and ensure autonomy. Mobility induces several challenges for low-power lossy networks due to dynamic topology, RF link instability, synchronization loss, signaling overhead, which lead to significant packet loss, more energy consumption, and higher latency. In this paper, we study a widely adopted time-slotted channel hopping (TSCH) MAC protocol in the presence of mobile nodes. We analyze how mobility impacts its reliability in terms of synchronization, message overhead, latency, and energy. The evaluation is performed through simulation and the results show that mobility may cause significant network downtime where nodes are unable to associate to the network for long period of time because of synchronization loss, especially if the environment is not fully covered by static nodes. Association and disassociation issues, induced by mobility, cause frequent disruptions in the network. Although, TSCH can handle mobility if the network space in which mobile nodes are evolving is fully covered by static nodes or there are enough mobile nodes to maintain a consistent coverage. However, the amount of message overhead to maintain synchronization is higher which impacts the reliability of the protocol in terms of energy and latency.","PeriodicalId":285899,"journal":{"name":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129802302","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

5G K-SimSys for System-level Evaluation of Massive MIMO 大规模MIMO系统级评估的5G K-SimSys

2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2019-02-25 DOI: 10.1109/CCNC.2019.8651802

J. W. Lee, Minsig Han, C. Kang, M. Rim

引用次数: 2

Location corroboration using passive observations of IEEE 802.11 Access Points 使用IEEE 802.11接入点的被动观测进行位置确证

2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2019-01-12 DOI: 10.1109/CCNC.2019.8651873

P. Couderc, Y. Maurel

引用次数: 3

A Fuzzy Logic Based Electric Vehicle Scheduling in Smart Charging Network 基于模糊逻辑的智能充电网络电动汽车调度

2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2019-01-12 DOI: 10.1109/CCNC.2019.8651730

Jinsol Park, Yujin Sim, Gangminh Lee, D. Cho

{"title":"A Fuzzy Logic Based Electric Vehicle Scheduling in Smart Charging Network","authors":"Jinsol Park, Yujin Sim, Gangminh Lee, D. Cho","doi":"10.1109/CCNC.2019.8651730","DOIUrl":"https://doi.org/10.1109/CCNC.2019.8651730","url":null,"abstract":"This paper proposes an electric vehicle (EV) scheduling algorithm with fuzzy logic control in smart charging network in order to improve the charging performance of the network significantly. The fuzzy logic control helps that the EV scheduling algorithm determines the proper pair of charging station (CS) and EV logically. The fuzzy inference system determines a weight value by reflecting the multiple charging requirements such as distance between EV and CS, charging time, and charging speed. The weight value describes an EV charging priority, and is used in the scheduling algorithm. The proposed scheduling algorithm focuses on avoiding EV congestion at the CS by reducing the waiting time for charging and balancing charging request rate, which shows how the EV is distributed to the CS with balancing the number of available charging pads. In order to compare the performance of the proposed scheduling algorithm with that of conventional algorithms, the random and max weight scheduling algorithm are also considered. The simulation results show that the proposed scheduling algorithm can improve the performance of the smart charging network in view of waiting time for charging and balancing of charging request rate.","PeriodicalId":285899,"journal":{"name":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129963619","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

Crypto Terminal Based On Secure Element For Consumer Trusted Blockchain Transactions 基于安全元素的消费者可信区块链交易加密终端

2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2019-01-11 DOI: 10.1109/CCNC.2019.8651788

P. Urien

引用次数: 6

Experimental Evaluation of the Poissoness of Real Sensor Data Traffic in the Internet of Things 物联网中真实传感器数据流量泊度的实验评估

2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2019-01-11 DOI: 10.1109/CCNC.2019.8651702

Chitradeep Majumdar, M. López-Benítez, S. Merchant

{"title":"Experimental Evaluation of the Poissoness of Real Sensor Data Traffic in the Internet of Things","authors":"Chitradeep Majumdar, M. López-Benítez, S. Merchant","doi":"10.1109/CCNC.2019.8651702","DOIUrl":"https://doi.org/10.1109/CCNC.2019.8651702","url":null,"abstract":"This work proposes a novel experimental and mathematical framework to determine the statistical models for the Internet of Things (IoT) data traffic. Conventionally, it is assumed that the data packet generation for IoT based applications follows a Poisson process with exponentially distributed packet inter-arrival time. Based on such generalized premise, majority of the network related theoretical and practical analysis of the IoT platforms are carried out. Based on empirical data for a smart home application recorded for over 10 weeks duration using proposed IoT subsystem, in this paper we estimate the empirical statistical distribution of the IoT data traffic generated by temperature, light intensity and motion sensors. The inter-arrival between the data packets generated from different sensing modules of the IoT smart home application subsystem is determined. The Empirical Cumulative Distribution Function (ECDF) of the estimated time duration is fitted with few of the well-established classical statistical distributions using Method of Moments (MoM) and Maximum Likelihood (ML) estimation techniques. The goodness of fit is quantified using Kolmogrov-Smirnov (KS) test. The parameters of the fitted distributions are determined as a function of the physical input parameters. The results reveal source IoT traffic does not follow a Poisson process which is conventionally assumed in the literature, but rather depends on the type of application.","PeriodicalId":285899,"journal":{"name":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126573376","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

Efficient Interest Satisfaction in Content Centric Wireless Sensor Networks 以内容为中心的无线传感器网络的有效兴趣满足

2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2019-01-11 DOI: 10.1109/CCNC.2019.8651843

Ghada Jaber, Rahim Kacimi, T. Gayraud

引用次数: 1

Analysis of Small-World Features in Vehicular Social Networks 汽车社交网络的小世界特征分析

2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2019-01-11 DOI: 10.1109/CCNC.2019.8651774

A. Vegni, V. Loscrí, P. Manzoni

引用次数: 4

FogFS: A Fog File System For Hyper-Responsive Mobile Applications FogFS:一个用于超响应移动应用程序的雾文件系统

2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2019-01-01 DOI: 10.1109/CCNC.2019.8651807

Andreas Pamboris, P. Andreou, I. Polycarpou, G. Samaras

{"title":"FogFS: A Fog File System For Hyper-Responsive Mobile Applications","authors":"Andreas Pamboris, P. Andreou, I. Polycarpou, G. Samaras","doi":"10.1109/CCNC.2019.8651807","DOIUrl":"https://doi.org/10.1109/CCNC.2019.8651807","url":null,"abstract":"Hyper-responsive mobile applications}, such as augmented reality and online games, require ultra-low latency access to back-end services and data at runtime. While fog computing tries to meet such latency requirements by placing corresponding back-end services and data closer to clients, for e.g., within an access network, assuming a fixed back-end server throughout execution is problematic due to user mobility. A more flexible approach is thus required to allow for adapting to changes in network conditions when users roam, by relocating back-end services and data to closer available infrastructure. Support for real-time migration of software services exists, however, migrating associated disk state remains a bottleneck. This paper presents FOGFS, a fog file system that employs intelligent snapshotting, migration and synchronization mechanisms to speed up the migration of an application‘s disk state between different edge locations at runtime. The experimental evaluation of our prototype implementation reveals that the attainable speed-up is as much as 3. 3 x compared to conventional migration approaches.","PeriodicalId":285899,"journal":{"name":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125775082","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: 4

Battery Optimal Configuration of Transmission Settings in LoRa Moving Nodes LoRa移动节点中传输设置的电池优化配置

2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2019-01-01 DOI: 10.1109/CCNC.2019.8651707

Ashirwad Gupta, M. Fujinami

{"title":"Battery Optimal Configuration of Transmission Settings in LoRa Moving Nodes","authors":"Ashirwad Gupta, M. Fujinami","doi":"10.1109/CCNC.2019.8651707","DOIUrl":"https://doi.org/10.1109/CCNC.2019.8651707","url":null,"abstract":"This paper proposes a novel method of selecting battery-optimal transmission settings for moving nodes in Long Range (LoRa) system. In LoRa communication, transmission setting plays an important role as it affects coverage range, data rate, and battery consumption. Therefore, its optimal configuration is required to ensure successful communication with long battery life. However, with small data rate and resource-limited LoRa nodes, configuration of optimal settings becomes challenging. Current solutions require multiple transmissions for fixed distance between nodes and gateways to achieve the optimal settings. The existing methods become unsuitable for moving nodes because of continuous change in distance between the nodes and the gateways. Thus, each transmission would require different optimal setting. Due to lack of such configuration method, conventional method uses same fixed high energy setting for all transmissions to ensure high reliability, which results in shorter battery life. To minimize energy consumption without affecting reliability, the proposed method dynamically configures the optimal setting for each transmission depending on the distance between current location of the moving node and the nearest gateway, using path loss estimation. The simulation result shows that, for 95% reliability, the proposed method achieves 47% reduction in energy consumption as compared with conventional method.","PeriodicalId":285899,"journal":{"name":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125872181","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