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Dynamic Data Processing Middleware for Sensor Networks

机译:传感器网络的动态数据处理中间件

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摘要

Heterogeneous and resource-constrained sensors, computational and communication latencies, variable geospatial deployment and diversity of applications set challenges for sensor network middleware. RESTful architecture principles have been widely applied in middleware design. The new Computational REST architecture offers additional set of principles. In Computational REST, computations are seen as resources and interactions are conducted as computational exchanges. In this PhD thesis work, these principles are studied and elaborated further in the context of sensor network middleware. Middleware and system component prototypes are developed, evaluated and utilized by field trials in real-world settings. As a result, new knowledge is generated of ubiquitous sensor network middleware design and dynamically distributing data processing computational load in resource-constrained sensor networks.
机译:异构和资源受限的传感器,计算和通信延迟,可变的地理空间部署以及应用程序的多样性为传感器网络中间件提出了挑战。 RESTful体系结构原理已广泛应用于中间件设计中。新的计算式REST体系结构提供了其他原则。在计算REST中,计算被视为资源,而交互被视为计算交换。在本博士论文中,将在传感器网络中间件的上下文中进一步研究和阐述这些原理。中间件和系统组件原型是在实际环境中通过现场试验开发,评估和使用的。结果,产生了无处不在的传感器网络中间件设计的新知识,并且可以在资源受限的传感器网络中动态分配数据处理计算负荷。

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