基于监测质量的共享传感器网络多应用部署

Sangeeta Bhattacharya, Abusayeed Saifullah, Chenyang Lu, G. Roman
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引用次数: 74

摘要

无线传感器网络正在从专用的特定应用平台向多个应用共享的集成基础设施发展。共享传感器网络在灵活性和成本方面具有固有优势,因为它们允许在多个应用程序之间动态共享和分配资源。这种共享系统迫切需要将节点分配给竞争应用程序,以提高资源约束下的整体监控质量(QoM)。为了满足这一需求,本文提出了基于实用的多应用分配和部署环境(UMADE),这是一种用于共享传感器网络的集成应用部署系统。与基于网络指标(例如,计算资源利用率)分配应用程序的传统方法形成鲜明对比,UMADE采用了一种网络物理系统方法,根据物理现象的QoM动态地将节点分配给应用程序。UMADE的关键新颖之处在于它被设计用于处理网络物理应用中典型的节点间QoM依赖关系。此外,UMADE提供了一个集成的系统解决方案,支持(1)应用程序的QoM规范,(2)QoM感知应用程序分配,(3)多跳无线网络上的应用程序部署,以及(4)响应网络动态的应用程序自适应重新分配的端到端过程。UMADE已经在Telos的TinyOS和Agilla虚拟机上实现。在楼宇自动化应用的背景下,UMADE的可行性和有效性已在28节点无线传感器网络测试平台上得到验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Application Deployment in Shared Sensor Networks Based on Quality of Monitoring
Wireless sensor networks are evolving from dedicated application-specific platforms to integrated infrastructure shared by multiple applications. Shared sensor networks offer inherent advantages in terms of flexibility and cost since they allow dynamic resource sharing and allocation among multiple applications. Such shared systems face the critical need for allocation of nodes to contending applications to enhance the overall Quality of Monitoring (QoM) under resource constraints. To address this need, this paper presents Utility-based Multi-application Allocation and Deployment Environment (UMADE), an integrated application deployment system for shared sensor networks. In sharp contrast to traditional approaches that allocate applications based on cyber metrics (e.g., computing resource utilization), UMADE adopts a cyber-physical system approach that dynamically allocates nodes to applications based on their QoM of the physical phenomena. The key novelty of UMADE is that it is designed to deal with the inter-node QoM dependencies typical in cyber-physical applications. Furthermore, UMADE provides an integrated system solution that supports the end-to-end process of (1) QoM specification for applications, (2) QoM-aware application allocation, (3) application deployment over multi-hop wireless networks, and (4) adaptive reallocation of applications in response to network dynamics. UMADE has been implemented on TinyOS and Agilla virtual machine for Telos motes. The feasibility and efficacy of UMADE have been demonstrated on a 28-node wireless sensor network testbed in the context of building automation applications.
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