Autonomic computing in heterogeneous sensor networks

本研究的目的是调查新的技术，有针对性地支持自主计算的多层异构传感器网络。自主计算系统是可以自我管理的分布式计算机系统，因此其复杂性对最终用户是不可见的。这些系统在很大程度上依赖于网络内的反馈来调整其行为。与简单地收集传感数据并将其分发给最终用户的传感器网络不同，自主传感器网络可以聚合和解释传感数据，并在网络中做出可能影响网络内数据收集和路由的决策。多层传感器网络是利用几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），而其他层使用协议

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