| By commanding a large number of wireless sensor nodes capable of sensing, communicating, and computing, wireless sensor networks have revealed their vast potential in a plethora of applications. However, due to the stringent resources limitations on each sensor node ranging from energy and computation to network bandwidth and storage, efficient and light weight systems must be designed in order to accommodate the resource limited environment. Furthermore, due to the potentially large number of sensor nodes deployed, the amount of sensory data gathered therein can be overwhelming for processing and visualizing in a resource limited central controller, such as mobile devices.; In this thesis, we describe a data processing and visualization paradigm to handle the large bursts of streaming data from wireless sensor network based monitoring systems. We employ efficient approximation techniques in order to process the information and visualize them in a timely manner as and when data arrives. |
