We present a novel outlier elimination technique designed for sensor networks. This technique is called RANBAR and it is based on the RANSAC (RANdom SAmple Consensus) paradigm, wh...
Abstract-- Recent work has demonstrated that readings provided by commodity sensor nodes are often of poor quality. In order to provide a valuable sensory infrastructure for monito...
Wireless sensor networks have enormous potential to aid data collection in a number of areas, such as environmental and wildlife research. In this paper, we address the challenges...
In the emerging area of sensor-based systems, a significant challenge is to develop scalable, fault-tolerant methods to extract useful information from the data the sensors collec...
Jeffrey Considine, Feifei Li, George Kollios, John...
In sparse and intermittently connected Mobile Sensor Networks (MSNs), the base station cannot easily get the data objects acquired by the mobile sensors in the field. When users q...