Autonomic computing in heterogeneous sensor networks

异构传感器网络中的自主计算

• 批准号: 262045-2009
• 负责人: Liscano, Ramiro
• 金额: $ 1.38万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=503222
• 关键词: Autonomic; computing; heterogeneous; sensor; networks

The objective of this research is to investigate new technologies that are targeted to support autonomic computing in multi-tier heterogeneous sensor networks. Autonomic computing systems are distributed computer systems that can manage themselves and therefore their complexities are invisible to end users. These systems rely heavily on feedback within the network to adapt their behaviour. Unlike sensor networks that simply collect and distribute sensory data to end users, an autonomic sensor network can aggregate and interpret sensory data and make decisions in the network that can affect the collection and routing of data within the network. A multi-tier sensor network is a sensor network that utilizes several different protocols; typically one layer will leverage Internet-based protocols (a SensorWeb) while the other layers use protocols

这项研究的目的是研究旨在支持多层异质传感器网络中自主计算的新技术。自主计算系统是可以管理自己的计算机系统，因此最终用户的复杂性是看不见的。这些系统在很大程度上依赖网络中的反馈来调整其行为。与简单地收集和分配感官数据向最终用户的传感器网络不同，自主传感器网络可以汇总和解释感官数据，并在网络中做出决定，以影响网络中数据的收集和路由。多层传感器网络是使用多种不同协议的传感器网络。通常，一层将利用基于Internet的协议（SensorWeb），而其他层则使用协议