User-centric and context-aware resource management in wireless sensor networks for the Internet of Things

物联网无线传感器网络中以用户为中心和上下文感知的资源管理

• 批准号: RGPIN-2017-06968
• 负责人: Ibnkahla, Mohamed
• 金额: $ 1.75万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=765859
• 关键词: User; centric; context; aware; resource

The Internet of Things (IoT) is expected to connect billions of objects and devices through a dynamic global information exchange leading to diverse applications that will impact every aspect of our society. Sensing and data collection tasks in IoT systems are usually performed by wireless sensor networks (WSN) which represent a fundamental part of any IoT system. However, heterogeneous sensor technologies, dynamic user behaviour, and limited resources in terms of energy, bandwidth, and computing make IoT system design and deployment very challenging. To address these issues, this research program proposes effective resource management algorithms and tools in WSN for IoT systems. In particular, we propose joint optimization of energy, spectrum, and computing resources based on context information and user experience. Our approach is based on distributed learning and adaptation across the WSN, where nodes exchange information about the available and predicted resources, environment conditions, and user behaviour. Local and global optimization algorithms are then employed to optimize resource allocation at the node, cluster, and network levels. New dynamic hierarchical clustering techniques as well as Sensing-as-a-Service strategies will be investigated. Moreover, virtual clustering will be investigated in heterogeneous IoT networks to bridge data silos between the different IoT verticals. Here we propose joint optimization of data computing resources across WSN nodes, network edge (Fog nodes), and the Cloud.State-of-the-art IoT facility at Carleton University (funded through Cisco Chair, NSERC/Cisco IRC Chair and CFI) will be used for hardware implementation of the proposed algorithms and protocols. The facility offers real-world IoT deployment targeting public safety and emergency response and residential energy management which will be used to test and validate our prototypes. This program will provide extensive hands-on training to 6 PhD, 6 MSc and 10 undergraduate students. Student training will closely couple research and practical development by integrating fundamental research, technology development, and hardware implementation. Through the breadth, depth, and innovation of this research program, students will acquire theoretical, applied, and system-oriented skills. There is a strong demand for these HQP and their future employment will accelerate the dissemination of IoT technology to Canadian industry and enhance Canada's leadership role in these sectors. Integrating user and context information in the design and operation of IoT systems, aside from yielding crucial technical contributions, will have ramifications into standardization bodies, service providers, and end user communities. This will contribute to making IoT as a main-stream technology in Canada that can be easily adopted and deployed by end users in various sectors of our society.

物联网（物联网）有望通过动态的全球信息交流将数十亿个对象和设备连接起来，从而导致各种应用程序会影响我们社会的各个方面。物联网系统中的传感和数据收集任务通常由无线传感器网络（WSN）执行，该网络代表任何物联网系统的基本部分。但是，异质传感器技术，动态用户行为以及能源，带宽和计算的资源有限，使IoT系统设计和部署变得非常具有挑战性。为了解决这些问题，该研究计划提出了用于物联网系统的WSN中有效的资源管理算法和工具。特别是，我们提出了基于上下文信息和用户体验的能源，频谱和计算资源的联合优化。我们的方法基于整个WSN的分布式学习和适应，在该学习中，NODES交换有关可用资源，环境条件和用户行为的信息。然后，使用本地和全局优化算法来优化节点，群集和网络级别的资源分配。将研究新的动态分层聚类技术以及将传感策略进行研究。此外，将在异质的物联网网络中研究虚拟聚类，以在不同的物联网垂直方面桥接数据筒仓。在这里，我们提出了跨WSN节点，网络边缘（FOG节点）以及Carleton University的Cloud.State IoT Iot设施的数据计算资源的联合优化（通过Cisco主席，NSERC/Cisco IRC和CFI资助）将用于提议拟议的AlgorithM和协议的硬件实施。该设施提供了针对公共安全和紧急响应以及住宅能源管理的现实物联网部署，该设施将用于测试和验证我们的原型。该计划将为6名博士学位，6个MSC和10名本科生提供广泛的动手培训。学生培训将通过整合基础研究，技术开发和硬件实施来紧密融合研究和实践发展。通过该研究计划的广度，深度和创新，学生将获得理论，应用和以系统为导向的技能。对这些HQP的需求很大，他们的未来就业将加速物联网技术对加拿大工业的传播，并增强加拿大在这些领域的领导作用。除了产生至关重要的技术贡献外，将用户和上下文信息集成在物联网系统的设计和操作中，还将对标准化机构，服务提供商和最终用户社区产生影响。这将有助于使物联网成为加拿大的主要流程技术，可以轻松地由我们社会各个部门的最终用户采用和部署。