CRII: NeTS: Self-Adaptation in Industrial Wireless Sensor-Actuator Networks

工业网络通常连接钢铁厂、炼油厂和化工厂等工业设施中的数百或数千个传感器和执行器。近年来，人们对将无线传感器-执行器网络(WSAN)技术用于工业网络的兴趣与日俱增。该项目将开发高度自适应的无线局域网，实现广泛的工业过程应用，这将影响经济、安全和生活质量。该项目的成功完成将极大地刺激无线局域网的安装，具有极大提高工业效率的潜力，从而显著降低运营成本，从而有助于创造更多的就业机会。该项目的最终目标是将项目成果纳入下一代工业WSAN标准和实际产品中。项目成果将在主要的国际会议上发表，并在会议记录和高影响力的期刊上发表，还用于丰富教育和外展。基于IEEE 802.15.4的无线SAN运行在低功率，可以廉价制造，这使它们成为能源消耗和成本重要的工业过程应用的理想选择。然而，严格和多样化的服务质量(Qos)要求和动态的工业环境使得管理WSAN成为一项艰巨的任务。WSAN管理难题的一个关键缺失部分是自适应组件，该组件允许WSAN自适应以一致地满足不确定环境中的动态服务质量要求。因此，业界表现出明显的不愿接受WSAN技术。本课题的总体目标是实现工业无线局域网在不确定环境下的运行时参数自适应。该项目将开发严格的科学方法来装备工业WSAN，使其能够根据特定的Qos要求进行优化配置，并在运行时调整配置，以一致地满足不确定环境中的动态需求。本项目旨在通过创建一种新的参数自适应范式来推动工业WSAN的发展，从而提高网络性能和更好的网络资源管理。该项目还将加深对WSAN中存在的性能权衡的了解，并使开发新的解决方案能够向用户提供关于网络性能权衡和配置选择的准确的用户适当信息。

Industrial networks typically connect hundreds or thousands of sensors and actuators in industrial facilities, such as steel mills, oil refineries, and chemical plants. Recent years have witnessed an increased interest in adopting wireless sensor-actuator network (WSAN) technology for industrial networks. This project will develop highly self-adaptive WSANs, enabling a broad range of industrial process applications, which affect economics, security, and quality of life. Successful completion of this project will significantly spur the installation of WSANs with the potential of greatly improving industrial efficiency, leading to a significant reduction of the operating costs, which can help create more jobs. The end objective of this project is to incorporate the project outcomes into the next generation of industrial WSAN standards and real-world products. Project findings will be presented at major international conferences and published in their proceedings and high-impact journals and also used for enriching education and outreach.IEEE 802.15.4 based WSANs operate at low-power and can be manufactured inexpensively, which makes them ideal for industrial process applications where energy consumption and costs are important. However, the stringent and diverse quality of service (QoS) requirements and dynamic industrial environments make managing WSANs a daunting task. A key missing piece of the WSAN management puzzle is a self-adaptation component, which allows WSANs to adapt themselves to consistently satisfy the dynamic QoS requirements in uncertain environments. Industry consequently has shown a marked reluctance to embrace WSAN technology. The overarching goal of this project is to accomplish runtime parameter self-adaptation for industrial WSANs in uncertain environment. This project will develop rigorous scientific methods for equipping industrial WSANs with capabilities of optimally configuring themselves based on specific QoS requirements and adapting the configurations at runtime to consistently satisfy the dynamic requirements in uncertain environments. This project aims to advance the state of the art of industrial WSANs through creating a new paradigm of parameter self-adaptation, resulting in improved network performance and better network resource management. This project will also accomplish an increased understanding of the performance tradeoffs that exist in WSANs and enable the development of new solutions to inform users with accurate user-appropriate information on network performance tradeoffs and configuration choices.