2020 International Conference on Omni-layer Intelligent Systems (COINS)最新文献_第2页

Dynamic iFogSim: A Framework for Full-Stack Simulation of Dynamic Resource Management in IoT Systems 动态iFogSim:物联网系统动态资源管理全栈仿真框架

2020 International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2020-08-01 DOI: 10.1109/COINS49042.2020.9191663

Dongjoo Seo, Sina Shahhosseini, Milad Asgari Mehrabadi, Bryan Donyanavard, Sung-Soo Lim, A. Rahmani, N. Dutt

{"title":"Dynamic iFogSim: A Framework for Full-Stack Simulation of Dynamic Resource Management in IoT Systems","authors":"Dongjoo Seo, Sina Shahhosseini, Milad Asgari Mehrabadi, Bryan Donyanavard, Sung-Soo Lim, A. Rahmani, N. Dutt","doi":"10.1109/COINS49042.2020.9191663","DOIUrl":"https://doi.org/10.1109/COINS49042.2020.9191663","url":null,"abstract":"Complex Internet of Things (IoT) applications such as Healthcare IoT include a variety of compute, data, and communication kernel intensities and have diverse sensitivities of QoS requirements including latency, throughput, availability, accuracy, etc. Ensuring QoS requirements for the applications requires a comprehensive tool to perform efficient full-stack analysis. Per our observation, the literature lacks a simulator capable of supporting a full-stack communication-computation co-simulation of an IoT system. Furthermore, IoT system behavior can dramatically change during run-time due to variation in status and context. Therefore, such a system must be dynamically controlled over time. In this paper, for the first time, we propose a full-stack framework to co-simulate communication and computation aspects of an IoT system in a dynamic scenario. We integrate a Transmission Control Protocol (TCP) latency model with the iFogSim simulator. We conduct a health-care IoT-based case study to evaluate the framework. The framework is open-sourced and available on GitHub in the following repository: https://github.com/HealthSciTech/Dynamic iFogSim.","PeriodicalId":350108,"journal":{"name":"2020 International Conference on Omni-layer Intelligent Systems (COINS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127660319","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

Camera Based Barcode Localization and Decoding in Real-World Applications 基于相机的条码定位和解码在现实世界中的应用

2020 International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2020-08-01 DOI: 10.1109/COINS49042.2020.9191416

Robert Brylka, Ulrich Schwanecke, Benjamin Bierwirth

引用次数: 8

COINS 2020 Breaker Page 硬币2020决胜页

2020 International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2020-08-01 DOI: 10.1109/coins49042.2020.9191419

引用次数: 0

COINS 2020 Cover Page 硬币2020封面

2020 International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2020-08-01 DOI: 10.1109/coins49042.2020.9191424

引用次数: 0

COINS 2020 TOC

2020 International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2020-08-01 DOI: 10.1109/coins49042.2020.9191431

引用次数: 0

Blockchain, what time is it? Trustless Datetime Synchronization for IoT 区块链，现在几点了?物联网的无信任日期时间同步

2020 International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2020-08-01 DOI: 10.1109/COINS49042.2020.9191420

Emanuel Regnath, N. Shivaraman, Shanker Shreejith, A. Easwaran, S. Steinhorst

{"title":"Blockchain, what time is it? Trustless Datetime Synchronization for IoT","authors":"Emanuel Regnath, N. Shivaraman, Shanker Shreejith, A. Easwaran, S. Steinhorst","doi":"10.1109/COINS49042.2020.9191420","DOIUrl":"https://doi.org/10.1109/COINS49042.2020.9191420","url":null,"abstract":"Time synchronization among IoT devices is a fundamental requirement for efficient and reliable communication on a global scale. Common synchronization schemes such as NTP operate on a trust-based client-server model, which does not scale well in a decentralized network because single server failures can lead to a severe downtime before re-establishing synchronization. Public blockchains such as Ethereum provide a trustless network and tamper-proof time-stamped data that is freely available. In this paper, we leverage the availability of time information in the block headers, which are very small (several hundreds of bytes) compared to the full blocks and can be validated without participation in the mining process. Our approach uses two estimators that are fed with the timestamps from block headers as well as the elapsed time between consecutive block receptions to estimate the true time to an accuracy of one second. We evaluate our approach by extensive validation on blockchain data from different geographical locations across the globe and show that global synchronization can be established despite the non-deterministic behavior of blockchains such as mining difficulty, network latencies and forks.","PeriodicalId":350108,"journal":{"name":"2020 International Conference on Omni-layer Intelligent Systems (COINS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134537523","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

Trustworthiness in Sensor Networks A Reputation-Based Method for Weather Stations 传感器网络中的可信度——一种基于信誉的气象站方法

2020 International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2020-08-01 DOI: 10.1109/COINS49042.2020.9191382

Nuno Figueiredo, M. Caeiro

引用次数: 0

Multi-sensor data augmentation for robust sensing 多传感器数据增强鲁棒感测

2020 International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2020-08-01 DOI: 10.1109/COINS49042.2020.9191412

Aaqib Saeed, Ye Li, T. Ozcelebi, J. Lukkien

{"title":"Multi-sensor data augmentation for robust sensing","authors":"Aaqib Saeed, Ye Li, T. Ozcelebi, J. Lukkien","doi":"10.1109/COINS49042.2020.9191412","DOIUrl":"https://doi.org/10.1109/COINS49042.2020.9191412","url":null,"abstract":"Data augmentation is a crucial technique for effectively learning deep models and for improving their generalization. It has shown remarkable performance gains on complex sets of problems, such as object detection and image classification. However, for sensor (time-series) data, its potential is not thoroughly explored even though the acquisition of large annotated sensor datasets is prohibitively expensive and challenging in real-life. In this work, we propose Sensor Augment - a generalized framework for automatically discovering data-specific augmentation strategies with black-box optimization search algorithms. Our approach makes use of the user-defined transformations to discover an optimal combination of the operations that can be used to train deep networks for a wide variety of tasks. Besides, we propose several augmentation operations that can be used to generate synthetic data and enrich the search space while harnessing existing functions. We show the efficacy of learned augmentation strategies on 7 multi-sensor datasets for 4 complex tasks. In our experiments, we see a substantial performance gain ranging from 1.5 to 10 F-score points over the baseline. We also show that the strategies can be learned from smaller subsets, and they can transfer well between related datasets.","PeriodicalId":350108,"journal":{"name":"2020 International Conference on Omni-layer Intelligent Systems (COINS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125565206","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 Compiler Comparison in the RISC-V Ecosystem RISC-V生态系统中的编译器比较

2020 International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2020-08-01 DOI: 10.1109/COINS49042.2020.9191411

Mehrdad Poorhosseini, W. Nebel, Kim Grüttner

{"title":"A Compiler Comparison in the RISC-V Ecosystem","authors":"Mehrdad Poorhosseini, W. Nebel, Kim Grüttner","doi":"10.1109/COINS49042.2020.9191411","DOIUrl":"https://doi.org/10.1109/COINS49042.2020.9191411","url":null,"abstract":"The GNU Compiler Collection (GCC) is the traditional compiler for most embedded systems, since it supports many different instruction set architectures (ISA) in its back-end. GCC has also been the first compiler that supported the RISC-V ISA. Since a while Clang/LLVM has gained more and more interest in the embedded software community. Recently, RISC-V is also supported in the LLVM back-end and maintained in the official LLVM release. In this paper we propose a benchmark environment for the comparison of compilers in the RISC-V ecosystem. We perform a comparison of GCC against LLVM for an embedded software benchmark considering compile time, size of the resulting binary, number of instructions and execution time. The results show that LLVM compiles faster in 88% of the experiments, while GCC and LLVM produce nearly the same binary size in 51% of the experiments. In 37% GCC wins and in 12% LLVM wins. In 94% of the experiments the difference between the resulting binary size in GCC and LLVM is +/-5%. The execution time analysis shows that in 42% of the experiments GCC and LLVM have nearly the same execution time clock cycles while in 40% GCC wins and in 18% LLVM wins.","PeriodicalId":350108,"journal":{"name":"2020 International Conference on Omni-layer Intelligent Systems (COINS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127241614","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

A True Decentralized Implementation Based on IoT and Blockchain: a Vehicle Accident Use Case 基于物联网和区块链的真正去中心化实现:一个车辆事故用例

2020 International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2020-08-01 DOI: 10.1109/COINS49042.2020.9191405

L. Gerrits, Roland Kromes, F. Verdier

引用次数: 6