Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical Approaches
Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical Approaches
复制标题
DOI：
10.1109/tie.2009.2015754
复制
发表时间：
2009-10-01
影响因子：
7.7
通讯作者：
Hancke, Gerhard P.
中科院分区：
文献类型：
--
作者：
Gungor, Vehbi C.;Hancke, Gerhard P.
在当今竞争激烈的行业市场中，公司面临着提高流程效率、遵守环境法规和满足公司财务目标的日益增长的需求。鉴于许多工业系统的年龄不断增长和工业制造市场的动态，需要智能和低成本的工业自动化系统来提高这些系统的生产率和效率。与传统的有线工业监测和控制系统相比，工业无线传感器网络（iwsn）的协作特性带来了一些优势，包括自组织、快速部署、灵活性和固有的智能处理能力。在这方面，IWSN在创建高度可靠和自我修复的工业系统方面发挥着至关重要的作用，该系统可以通过适当的行动快速响应实时事件。本文首先从硬件开发、系统架构与协议、软件开发三个方面介绍了该系统的技术难点和设计原则。具体地说，无线电技术，能量收集技术和跨层设计的iwsn已经讨论。此外，还为计划将新的IWSN技术用于工业自动化应用的系统所有者提供了IWSN标准。在本文中，我们的目标是对iwsn的当前状态提供当代的看法，并讨论该领域仍然开放的研究问题，从而使决策过程更有效和直接。
In today's competitive industry marketplace, the companies face growing demands to improve process efficiencies, comply with environmental regulations, and meet corporate financial objectives. Given the increasing age of many industrial systems and the dynamic industrial manufacturing market, intelligent and low-cost industrial automation systems are required to improve the productivity and efficiency of such systems. The collaborative nature of industrial wireless sensor networks (IWSNs) brings several advantages over traditional wired industrial monitoring and control systems, including self-organization, rapid deployment, flexibility, and inherent intelligent-processing capability. In this regard, IWSN plays a vital role in creating a highly reliable and self-healing industrial system that rapidly responds to real-time events with appropriate actions. In this paper, first, technical challenges and design principles are introduced in terms of hardware development, system architectures and protocols, and software development. Specifically, radio technologies, energy-harvesting techniques, and cross-layer design for IWSNs have been discussed. In addition, IWSN standards are presented for the system owners, who plan to utilize new IWSN technologies for industrial automation applications. In this paper, our aim is to provide a contemporary look at the current state of the art in IWSNs and discuss the still-open research issues in this field and, hence, to make the decision-making process more effective and direct.