Low Latency and Highly Secure Protocols for Critical Communications

适用于关键通信的低延迟和高度安全协议

基本信息

  • 批准号:
    494694-2016
  • 负责人:
  • 金额:
    $ 20.17万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Collaborative Research and Development Grants
  • 财政年份:
    2019
  • 资助国家:
    加拿大
  • 起止时间:
    2019-01-01 至 2020-12-31
  • 项目状态:
    已结题

项目摘要

As more devices are developed and interconnected, the communication infrastructure becomes critical and time-sensitive for many applications such as drone control, remote surgery and vehicle to vehicle communication. These critical communications must be resilient to interference, jamming, intrusions, and are often required to provide services with extremely low latency. The goal of this proposal is to explore various solutions to issues related to this critical communication infrastructure. The proposal encompasses several topics spanning the field of digital communications. It centers around two main topics: low-latency communications and traffic analysis, but involves several layers of the communication stack, ranging from the physical layer to the application layer. Standing at the crossroad between two key domains: latency optimization and security in communication networks, the proposed project aims at the ambitious objective of significantly reducing latency in secure communication networks.This objective is furthermore circumscribed by taking into account the transmission of two different message types: short critical messages, and long non-critical messages. The 'critical' aspect of said message types herein refers to their latency requirement. A critical message requires lower latency (faster end-to-end transmission) than a non-critical message. A typical critical message relates to signaling and control information for real-time, or near real-time, systems (i.e. remote drone control, utility infrastructure monitoring, telemedicine, etc.). In order to achieve this global objective, a systemic approach based on the monitoring of network conditions is proposed. Research activities involving the definition, the real-time extraction and the analysis of such network condition metrics are also provisioned in the work-plan. Leveraging network-wide metrics with local, i.e. network segment level, performance data will support the deployment of novel secure routing and planning schemes which shall have a significant positive impact on latency.
随着更多设备的开发和互联,通信基础设施对于无人机控制、远程手术和车载通信等许多应用变得关键和时间敏感。这些关键通信必须对干扰、干扰和入侵具有弹性,并且通常需要以极低的延迟提供服务。这项提案的目标是探索各种解决方案,以解决与这一关键通信基础设施有关的问题。该提案涵盖了数字通信领域的几个主题。它围绕两个主要主题:低延迟通信和流量分析,但涉及通信堆栈的几个层,从物理层到应用层。该项目站在通信网络的时延优化和安全这两个关键领域的十字路口,旨在显著降低安全通信网络中的时延,并通过考虑两种不同类型的消息的传输来进一步限制该目标:短关键消息和长非关键消息。这里所述消息类型的“关键”方面指的是它们的等待时间要求。与非关键消息相比,关键消息需要更低的延迟(更快的端到端传输)。典型的关键消息涉及实时或接近实时的系统(即远程无人机控制、公用事业基础设施监控、远程医疗等)的信号和控制信息。为了实现这一全球目标,提出了一种基于网络状态监测的系统方法。工作计划中还规定了涉及此类网络状况指标的定义、实时提取和分析的研究活动。利用具有本地(即网络段)级别的全网指标,性能数据将支持部署新的安全路由和规划方案,这将对延迟产生重大的积极影响。

项目成果

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专利数量(0)

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Gagnon, Ghyslain其他文献

Multistatic Radar Placement Optimization for Cooperative Radar-Communication Systems
  • DOI:
    10.1109/lcomm.2018.2837913
  • 发表时间:
    2018-08-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ben Kilani, Moez;Gagnon, Ghyslain;Gagnon, Francois
  • 通讯作者:
    Gagnon, Francois
Multiple instance learning: A survey of problem characteristics and applications
  • DOI:
    10.1016/j.patcog.2017.10.009
  • 发表时间:
    2018-05-01
  • 期刊:
  • 影响因子:
    8
  • 作者:
    Carbonneau, Marc-Andre;Cheplygina, Veronika;Gagnon, Ghyslain
  • 通讯作者:
    Gagnon, Ghyslain
Detection of alarms and warning signals on an digital in-ear device
Energy disaggregation using variational autoencoders
  • DOI:
    10.1016/j.enbuild.2021.111623
  • 发表时间:
    2021-11-12
  • 期刊:
  • 影响因子:
    6.7
  • 作者:
    Langevin, Antoine;Carbonneau, Marc-Andre;Gagnon, Ghyslain
  • 通讯作者:
    Gagnon, Ghyslain
Bag-Level Aggregation for Multiple-Instance Active Learning in Instance Classification Problems

Gagnon, Ghyslain的其他文献

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{{ truncateString('Gagnon, Ghyslain', 18)}}的其他基金

Advanced devices and algorithms for energy disaggregation in buildings
用于建筑物能量分解的先进设备和算法
  • 批准号:
    RGPIN-2017-06469
  • 财政年份:
    2022
  • 资助金额:
    $ 20.17万
  • 项目类别:
    Discovery Grants Program - Individual
Advanced devices and algorithms for energy disaggregation in buildings
用于建筑物能量分解的先进设备和算法
  • 批准号:
    RGPIN-2017-06469
  • 财政年份:
    2021
  • 资助金额:
    $ 20.17万
  • 项目类别:
    Discovery Grants Program - Individual
New signal processing, circuits and materials for robust and affordable capacitively-coupled electrocardiography
新的信号处理、电路和材料,用于稳定且经济实惠的电容耦合心电图
  • 批准号:
    514369-2017
  • 财政年份:
    2020
  • 资助金额:
    $ 20.17万
  • 项目类别:
    Collaborative Research and Development Grants
Advanced devices and algorithms for energy disaggregation in buildings
用于建筑物能量分解的先进设备和算法
  • 批准号:
    RGPIN-2017-06469
  • 财政年份:
    2020
  • 资助金额:
    $ 20.17万
  • 项目类别:
    Discovery Grants Program - Individual
Low Latency and Highly Secure Protocols for Critical Communications
适用于关键通信的低延迟和高度安全协议
  • 批准号:
    494694-2016
  • 财政年份:
    2020
  • 资助金额:
    $ 20.17万
  • 项目类别:
    Collaborative Research and Development Grants
Feature Learning of Critical Live Performance Audio Characteristics for a Virtual Sound Engineer
虚拟音响工程师关键现场表演音频特征的特征学习
  • 批准号:
    538056-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 20.17万
  • 项目类别:
    Engage Grants Program
Advanced devices and algorithms for energy disaggregation in buildings
用于建筑物能量分解的先进设备和算法
  • 批准号:
    RGPIN-2017-06469
  • 财政年份:
    2019
  • 资助金额:
    $ 20.17万
  • 项目类别:
    Discovery Grants Program - Individual
New signal processing, circuits and materials for robust and affordable capacitively-coupled electrocardiography
新的信号处理、电路和材料,用于稳定且经济实惠的电容耦合心电图
  • 批准号:
    514369-2017
  • 财政年份:
    2018
  • 资助金额:
    $ 20.17万
  • 项目类别:
    Collaborative Research and Development Grants
Advanced devices and algorithms for energy disaggregation in buildings
用于建筑物能量分解的先进设备和算法
  • 批准号:
    RGPIN-2017-06469
  • 财政年份:
    2018
  • 资助金额:
    $ 20.17万
  • 项目类别:
    Discovery Grants Program - Individual
Advanced devices and algorithms for energy disaggregation in buildings
用于建筑物能量分解的先进设备和算法
  • 批准号:
    RGPIN-2017-06469
  • 财政年份:
    2017
  • 资助金额:
    $ 20.17万
  • 项目类别:
    Discovery Grants Program - Individual

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