Signal and Information Processing for distributed and networked applications

分布式和网络应用的信号和信息处理

• 批准号: RGPIN-2017-04728
• 负责人: Labeau, Fabrice
• 金额: $ 3.42万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=656244
• 关键词: Signal; Information; Processing; distributed; networked

The power of signal processing as a discipline is that it develops the algorithms and techniques that form the backbone of today's Internet, cellular networks, or human-machine interfaces; it is constantly extending its reach to other domains, including healthcare, power and energy or social networks. This proposal is rooted in this tradition and proposes to examine several specific situations of application of signal processing to new and emerging areas, characterized by the distributed and/or networked nature of the signals or information considered. These areas include ***the Internet-of-Things (IoT), Healthcare and the Energy Sector. The proposed research program will tackle projects that are motivated by some of concrete problems in these application domains, but will also strive to provide contributions that can be extended to other application domains.***This program will develop new technologies and algorithms (i) to enhance the lifetime of wireless sensor networks through carefully managed deployments of nodes and Radiofrequency Power harvesting; (ii) to enhance the security and resistance to cyber attacks of wireless data gathering mechanisms, including in the Smart Grid and healthcare; (iii) to monitor large streams of data created by networked sensors for data integrity and to improve networked environmental monitoring. ***The program will provide training to at least 13 trainees at several levels (from undergraduate to PhD), in an environment that is connected to industry and rooted in international and national collaborations. The program will hence provide a stream of innovative solutions to serious challenges in networked systems while producing the next generation of highly skilled workers in the critical application domains cited above.

作为一门学科，信号处理的强大之处在于，它开发了构成当今互联网、蜂窝网络或人机界面支柱的算法和技术；它正在不断地将其覆盖范围扩展到其他领域，包括医疗保健、电力和能源或社交网络。这一建议植根于这一传统，并建议审查信号处理应用于新的和新兴领域的几种具体情况，其特点是所考虑的信号或信息的分布和/或联网性质。这些领域包括*物联网(IoT)、医疗和能源部门。拟议的研究计划将解决这些应用领域中的一些具体问题，但也将努力提供可以扩展到其他应用领域的贡献。*该计划将开发新的技术和算法，(I)通过精心管理的节点部署和射频功率采集来提高无线传感器网络的寿命；(Ii)增强无线数据收集机制的安全性和抵御网络攻击的能力，包括在智能电网和医疗保健中；(Iii)监控联网传感器产生的大量数据流，以确保数据完整性，并改善联网环境监测。*该项目将在一个与行业相关并植根于国际和国家合作的环境中，为至少13名学员提供不同级别(从本科生到博士)的培训。因此，该计划将为网络系统中的严重挑战提供一系列创新的解决方案，同时在上述关键应用领域培养下一代高技能工人。