Efficient Schemes for Managing Internet of Things Devices/Systems

管理物联网设备/系统的高效方案

• 批准号: RGPIN-2018-05637
• 负责人: Nayak, Amiya
• 金额: $ 2.4万
• 依托单位: University of Ottawa
• 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=660712
• 关键词: Efficient; Schemes; Managing; Internet; Things

The Internet of Things (IoT) is an emerging paradigm that allows the control of the physical world via the Internet and both machine-to-machine (M2M) and human-to-machine (H2M) communication. The proliferation of smart devices and mobile applications has created significant opportunities for a more efficient, productive, and sustainable society. Nowadays, most devices around us are either connected to the IoT or are about to be, many of which have limited computational capability and storage capacity. Meeting high-speed data processing and shorter response time requirements of IoT systems can be challenging with current centralized cloud-based solutions. With all the IoT devices sharing information, there is also the need to protect the privacy of individual users who are using these devices. Fog or edge computing paradigm that allows bringing computing resources and application services closer to where the data is being generated and acted upon can reduce the amount of data transferred to the cloud for processing and analysis, thus reducing response time while improving privacy and security. The proposed research will develop efficient schemes for managing the IoT devices through fog or edge computing advantages, coupled with software-defined networking, for services in several IoT domains (i.e., smart cities, vehicular networks, smart grids, wireless sensor networks, social networks, etc.), and address some general issues such as security, privacy, and trust with data and service migration among fog devices and between fog and cloud. This proposal will also address the issues and challenges that may arise in developing energy efficient and sustainable infrastructures, protocols, and future applications.

物联网（IoT）是一种新兴的范例，它允许通过互联网以及机器对机器（M2M）和人机（H2M）通信来控制物理世界。智能设备和移动应用的普及为一个更高效、更有生产力和更可持续的社会创造了巨大的机会。如今，我们周围的大多数设备要么连接到物联网，要么即将连接到物联网，其中许多设备的计算能力和存储容量有限。满足物联网系统的高速数据处理和更短的响应时间要求对于当前基于集中式云的解决方案来说可能是一个挑战。随着所有物联网设备共享信息，还需要保护使用这些设备的个人用户的隐私。雾或边缘计算范式允许将计算资源和应用程序服务更接近数据生成和操作的位置，可以减少传输到云进行处理和分析的数据量，从而减少响应时间，同时提高隐私和安全性。本研究将通过雾或边缘计算优势，结合软件定义网络，为多个物联网领域（即智慧城市、车联网、智能电网、无线传感器网络、社交网络等）的服务开发有效的物联网设备管理方案，并解决一些一般问题，如安全、隐私和信任，以及雾设备之间和雾与云之间的数据和服务迁移。该提案还将解决在开发节能和可持续的基础设施、协议和未来应用中可能出现的问题和挑战。